206 Data Scientists jobs in London
Data Science Manager
London, London
Meta
Posted 23 days ago
Job Viewed
Job Description
**Summary:**
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a impact oriented team. By joining Meta, you will become part of the analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a team of data scientists and data science leaders.
**Required Skills:**
Data Science Manager Responsibilities:
1. Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
3. Influence product direction through clear and compelling presentations to leadership
4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree ideally should be completed before joining Meta
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Experience initiating and completing analytical projects with minimal guidance
12. Experience communicating results of analysis to leadership
**Preferred Qualifications:**
Preferred Qualifications:
13. Proven track record of leading impact oriented analytics teams.
14. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
15. Experience working in technology, consulting, or finance.
**Industry:** Internet
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a impact oriented team. By joining Meta, you will become part of the analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a team of data scientists and data science leaders.
**Required Skills:**
Data Science Manager Responsibilities:
1. Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
3. Influence product direction through clear and compelling presentations to leadership
4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree ideally should be completed before joining Meta
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Experience initiating and completing analytical projects with minimal guidance
12. Experience communicating results of analysis to leadership
**Preferred Qualifications:**
Preferred Qualifications:
13. Proven track record of leading impact oriented analytics teams.
14. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
15. Experience working in technology, consulting, or finance.
**Industry:** Internet
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0
Data Science Associate
London, London
Metyis AG
Posted 9 days ago
Job Viewed
Job Description
Metyis is growing! We are looking for a Data Science Associate with 3-4 years of experience to join our Data and Analytics team in London.
Who we are
Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.
With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.
We are Metyis. Partners for Impact.
We are looking for a Data professional to join our Data Science team. As a Data Science Associate, you are responsible for turning our clients’ business a more data-driven one, where data is used to drive action in every team, every day.
What we offerInteract with our clients on regular basis, to drive their business towards impactful change.
Work in multidisciplinary teams and learn from motivated colleagues.
A chance to take responsibility for your work, develop yourself every day and take full ownership of your career.
Become part of a fast growing international and diverse team.
Perform data analysis in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics.
Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc.
Communicate analyses via compelling presentations.
Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis.
Prepare and facilitating workshops.
Manage stakeholders and communicating with executives.
Coach and mentor team members.
3-5 years of professional work experience in the analytics domain.
An advanced degree in a quantitative field (e.g. mathematics, computer programming, etc.).
An ability to think analytically, decompose problem sets, develop hypotheses and recommendations from data analysis.
Strong technical skills regarding data analysis, statistics, and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R.
Working knowledge of Python data tools (e.g. Jupyter, Pandas, Scikit-Learn, Matplotlib).
Ability to talk the language of statistics, finance, and economics a plus.
Profound knowledge of the English language.
At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.
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1
Data Science Intern
Low Carbon
Posted 591 days ago
Job Viewed
Job Description
About Low Carbon
Low Carbon is a purpose driven company that creates large-scale renewable energy in the global fight against climate change. Our mission is to protect the planet for future generations while delivering positive returns for our communities and investors. Our goal is to produce as much new renewable energy as possible while limiting our own environmental impact. We do this by developing, investing in, and operating large-scale renewable energy projects across the globe.
Our partnership with the Massachusetts Mutual Life Insurance Company (MassMutual) is enabling us to accelerate the deployment of large-scale renewable energy and underpins our ambition to transform the global energy sector from fossil fuels to zero carbon.
All of us at Low Carbon know that trust is a vital component of the climate fight. We are a long-standing certified B-Corporation, a reflection of our fundamental ethos to balance the needs of the environment and society with our bottom line.
We are extremely proud of the highly professional and talented team at Low Carbon. We have built a positive learning culture that incorporates respect, trust, collaboration, and a shared passion to combat climate change. It is an open, friendly and supportive environment, and we are proud to say we work here. As we grow, we are committed to increasing diversity in the team, and continuing to foster an inclusive environment where we can learn from each other.
Role Description
The Low Carbon Data Science Internship is a 10-week summer program for undergraduate, graduate students and/or recent graduates. We want our internship colleagues to develop their skills in these emerging fields by working on real-world projects that make an impact on climate change and our business.
In 2023, our Data Science Summer Interns worked on deploying AI solutions across our business, on topics ranging from Renewable Asset Management, to Investment and Finance, presenting insights to our Executive Committee.
For our 2024 program, the successful candidate will form a crucial member of a small squad deployed on a real world business problem within the renewable energy industry. During the program there will be learning and support, including mentorship from subject matter experts in the business, and input and feedback from our senior industry professionals
Key Responsibilities
Working with other interns and project mentors, you will:
- Use Data Science to help solve a specific, live business challenge at Low Carbon
- Frame and structure practical solutions to challenging business problems
- Work in Agile Sprints to iteratively design, test and run trial solutions
- Present findings and key recommendations to senior stakeholders
Person Specification
- Undergraduate students, postgraduate students, or recent graduates from degrees in computer science, data science, statistics, mathematics, engineering and related fields
- A genuine interest in climate change and the role technology and data can play in solving some of our biggest climate challenges
- Eligible to work in the UK, on a 40-hour per week basis, continuously, from 8th July to 13th September
- An enthusiastic and committed team player who will work well with internship colleagues and key business stakeholders
- Energetic, reliable, adaptable and used to using their initiative
- A friendly, approachable and professional manner
Skills & Experience
- Practical experience of Programming in Python
- Demonstrable Data Science project experience (inside or outside classroom)
- Sound knowledge of fundamental statistical concepts
- Excellent problem-solving ability
- Ability to communicate results and present findings to a variety of stakeholders
Our Compensation & Benefits
- Competitive salary
- 26 days holiday + your birthday off (pro-rata for the duration of your internship)
- Lots of office social events
- Working in newly fit-out offices in Central London
- Get to work with an experienced, talented team of renewable energy professionals
- Be a part of a dynamic, entrepreneurial mission driven culture
- Make your unique contribution to the fight against climate change
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2
Artificial Intelligence Engineer
London, London
EC Markets
Posted today
Job Viewed
Job Description
About the Company EC Markets is a leading investment and trading services provider, offering clients access to global financial markets through innovative technology and a commitment to regulatory excellence. We specialise in delivering trading solutions across a diverse range of asset classes, including equities, forex, commodities, and derivatives, with a strong focus on transparency, integrity, and client success. With a client-first approach, we are dedicated to creating a secure and supportive trading environment that meets the highest regulatory standards. Our culture is built on collaboration, accountability, and continuous improvement, ensuring that both our clients and employees benefit from our forward-thinking approach to financial services. About the Role We are looking for a talented and enthusiastic AI Developer (Python) to join a growing team of experienced technologists and finance professionals and build a best-in-class trading/investment platform, with opportunities for technical ownership from day one. Please note that this role is office-based (Finsbury Square, Monday to Friday). Responsibilities Build and maintain services that support AI agent interaction. Implement APIs, contracts, and metadata aligned with the Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in AI/ML and apply relevant research to product needs. Participate in design reviews, code reviews, and incident response. Qualifications Bachelor’s degree in Computer Science, Engineering, or equivalent. Required Skills Software development experience with proven expertise in at least one programming language (Python / Java / Typescript) with experience building APIs and integrating backend systems. Solid Machine Learning fundamentals. Model Context Protocol for managing context and tool interfaces for agents. LLM integration patterns, including prompt orchestration and tool calling. Retrieval-Augmented Generation (RAG) for dynamic context injection. Understanding of user-centric design for AI interfaces and intelligent automation. Experience with AI frameworks (PyTorch, Tensorflow, Hugging Face etc.). Preferred Skills Preferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration. Self-motivated with a strong growth mindset. Pay range and compensation package Competitive salary and performance-based bonus. Opportunities for professional growth and career advancement. Contribution pension scheme. A collaborative and innovative work environment.
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3
Senior Manager, Data Science
ESL FACEIT Group
Posted 520 days ago
Job Viewed
Job Description
We’re looking for an inspirational leader that understands and respects the honorable burden of leading fellow brilliant minds. Someone that will have a say in how our data science team executes and how we stay true to our values.
Your mission will be to run a world-class, highly efficient, and business-impact-driving data science team. Under your leadership, this team will balance:
Delivering applicative DS models that power our market-leading innovative products.
Research Lab functionality through DS, allowing the Data Org’s proactive identification of thematic opportunities for the business.
This is a unique opportunity to shape the strategy, methodology, and execution patterns of this vital data function. And lead the team and data culture at a global, data-driven company that creates worlds beyond gameplay and brings communities together.
EXPECTATIONS- Serve as a Heart-First, People-First, Leader
- Exemplify the values we live by. Know and care for the people in your teams out of the understanding that, as a leader, you work for them.
- Nurture a blameless culture. Inspire, develop, and guide your team members to be the best that they can be.
- Formalize your team’s identity to one everyone wants to be a part of.
- Excel as a Senior Manager
- Build the processes that make us run efficiently. That automates the ordinary so we can focus on the extraordinary.
- Be a champion of best practices for project management, and find the right recipe that makes your teams demonstrate high performance.
- Prioritize pragmatically, communicate effectively, and know when to juggle and when to focus.
- Business & Data Focus
- Know the data - Ask ALL the whys, relentlessly, until you know it inside-out. Instill that same rigor in your teams and push context to the entire Data Org.
- Bring Business Value - Obsess about designing DS products that serve the business needs and provide empirical lasting value . You’re not here to produce models but to create measurable quality and impact.
- Be the Face of Your Teams
- Create strong bonds & true partnerships with your stakeholders at the product, company leadership, and data leadership level.
- Translate DS needs from strategic conversations to the day-to-month actions your teams will take.
- Tell the stories of your teams’ deliverables, know how important it is to create awareness, and bridge the gap between non-technical people and what your team does
- Leadership Team Member
- Demonstrate a servant-leadership mindset. Passionately deliver people, process, and culture-enabling products to our team members. Consistently.
- Be willing and able to continuously be expected to learn and improve as a leader and a manager. Challenge and be challenged to develop together.
- Be deliberate about our leadership team’s culture. Spend time with your fellow leaders, laugh together, cry together, and be who you really are.
Requirements
EXPERIENCE
- Data Science Lifecycle
- You have experience in building towards the bigger picture of the ecosystem you’re working in: adding to Data Quality, Monitoring/Observability tools, etc. You know your code will not exist in a void.
- You’ve participated in shaping a CI/CD process of a data science portfolio before. It’s not only about taking a model to production; it’s about maintaining many of them in a constant optimal state.
- You’ve learned and have honed your method of how you pragmatically identify and prioritize the most promising hypotheses.
- You have examples of every business metric you’ve moved through DS, as this is the best way you’ve learned to measure your impact.
- Science Hands-On
- You have a rich experience with many EDA techniques. You know how to use the right one for a specific problem.
- You have a track record of end-to-end model delivery by yourself. Developing, training, deploying, you’ve been through it all and know how to navigate the lifecycle efficiently.
- You have a large toolbox you’ve been assembling for years, from R/Python, through SQL, statistical methods, distributed "big data" technologies (e.g., Spark, Hive, BigQuery, redshift), GCP/AWS/Azure ecosystems and their different SaaS experience. And you know when to use the right tool for the job and not the other way around.
- Stakeholder management
- You are proficient in translating data science efforts into business language, you understand that “if you can’t explain it simply, you don’t really understand it”
- You spent your time and energy creating strong relationships with other teams. Whether they were in product or internally in analytics, you can speak the language that will create bonds. And have a track record to show it.
- Progression of Champions
- A history of experience through the trenches: growing up in statistics, analytics, and DS, serving as a tech lead, leading scientists, Seniors, and Staff scientists.
- You wore different hats, and you’ve walked a mile in different shoes.
- You like to have a good time while getting things done. When we say a “team player,” we mean it - you have a crisp high-five and funny stories to tell. You have your team’s back, and the team has yours.
- You love learning new things: You know that there’s always more to learn. You’re up-to-date on new trends in data – you know who’s using what to solve various problems and are excited for the next release of your favorite tool.
- Past experience in the Esports/Gaming/Betting/Events industry would be a great asset.
- You make the time to cheer and enjoy the ride.
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4
Senior Pharmacoepidemiologist – RWE & Data Science
London, London
Cubiq Recruitment
Posted today
Job Viewed
Job Description
Job Title: Senior Pharmacoepidemiologist – RWE & Data Science Location: London (Hybrid) Salary: £60,000 – £90,000 DOE About the Role A venture-backed TechBio company in London is hiring a senior-level epidemiologist or RWE programmer to help build the future of data-driven drug development. You’ll join a team that’s rethinking the traditional model - developing internal tools, working directly with biopharma partners, and applying real-world evidence to accelerate drug development. This role combines scientific depth with software fluency. It’s ideal for someone who thrives at the intersection of health data, analytics, and product-led strategy. Key Responsibilities Design and analyse non-interventional studies, including regulatory-grade and exploratory projects Collaborate with engineering to build internal tools that support and scale RWE applications Engage with external partners to guide RWE strategy and deliver high-quality outputs Translate complex data into actionable insights for internal stakeholders and regulators Lead protocol and SAP development, contribute to CSRs and publication strategy Apply modern causal inference techniques to support study validity and robustness Ideal Candidate MSc/PhD in Epidemiology, Pharmacoepidemiology or a science-based subject (biochemistry etc) Strong coding skills in SQL plus R or Python (this is non-negotiable) Experience delivering end-to-end observational studies using real-world datasets Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs) Knowledge of coding systems (ICD, SNOMED, GPI, HCPCS) and RWD sources (claims, EHR, registries) Familiar with regulatory trends around pragmatic trials, external control arms, and synthetic cohorts Skilled in handling and cleaning messy, multimodal data Confident using methods such as propensity score matching, IP weighting, and IV analysis Excellent communication skills with the ability to distil complex findings for different audiences Bonus Experience Prior work in a startup, biotech or agile CRO Hands-on work with MarketScan, Flatiron Health , or Premier datasets Understanding of product development processes in tech-enabled life sciences companies This is an opportunity to join a company that’s not just running studies, but building the future of drug development infrastructure. If you’ve got the technical depth, strategic mindset and coding fluency to back it up - get in touch. Apply with a copy of your CV to:
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5
Data Science Industrial Placement Student
Welwyn, Eastern
Roche
Posted 3 days ago
Job Viewed
Job Description
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
**The Position**
**Who We Are**
At Roche, 97,000 people across 150 countries are pushing back the frontiers of healthcare. Working together, we've become one of the world's leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.
Our UK Pharmaceutical head office, one of our primary global offices, is situated in Welwyn Garden City, Hertfordshire and is surrounded by beautiful countryside. Supported by major motorways and airports, as well as being a 25-minute train ride to central London, access is easy. With over 1800 people occupying our site in Welwyn, you can expect interactions with Product Development (PD), Early Development (pRED), Commercial (Rx) and our corporate function. The extensive overlap and interaction with other functions means Roche provides an unmatched experience as well as ample networking opportunities.
**The Opportunity**
The Product Development Data Sciences (PDD) department in Roche's Pharmaceutical Division focuses on three core areas: identifying evidence needed in bringing our drugs to market, making high-quality data accessible and generating insights through data analysis. This involves leveraging diverse datasets from clinical trials, real-world evidence and digital sources to understand patient pathways, disease progression and patient outcomes.
Data science has become essential for extracting meaningful insights from the growing variety and complexity of data enabled by advances in digital technology. In biopharma, each data point represents part of a patient's journey, contributing to the understanding of disease and the development of better medicines. Maximizing the potential of this data allows for groundbreaking analyses and insights.
The PDD Department in Welwyn Garden City is seeking industrial placement students starting in **July 2026** **for 13 months** to support the advancement of medicines. Successful candidates will be evaluated for multiple roles across the department, each requiring a diverse range of skills. These roles offer opportunities to leverage your expertise or interest in areas such as:
**Biostatistics:**
+ **Role:** Biostatisticians use statistical methods to design and analyse the data collected in our clinical trials. We often collaborate with clinical scientists to interpret results, and work closely with other members of data science eg. Data Management and Statistical Programming, to ensure the quality and integrity of study data. We also conduct exploratory analyses, trialling new or alternative statistical methods to better understand our data, and inform decision making.
+ **Skills** : Knowledge and understanding of basic statistics; programming skills (R, SAS or other coding languages) are beneficial.
**Statistical Programming:**
+ **Role:** Analytical Data Scientist (ADS) - We are responsible for providing analytical and programming expertise for the reporting and analysis of clinical trials and related submissions to Health Authorities worldwide. We work closely with other members of data sciences, in particular biostatistics and data management, to ensure quality and integrity of study data. We also collaborate with other functional experts to determine appropriate analysis of data for respective disease areas.
+ **Skills:** Programming skills (R, SAS or anything else) are beneficial; ability to explain complex concepts to non-technical audiences; growth mindset; innovation
**Data Management:**
+ **Role:** Study Data Manager (SDM) - We are responsible for the collection, delivery and quality of data in standardized, quality clinical trial databases, in readiness for analysis by Statistical Programming and Biostatistics. We operate in a cross functional team and in partnership with external business partners utilizing a variety of data surveillance tools with disease area knowledge
+ **Skills** : Project Management - Programming experience is not essential
+ **Role:** Data Acquisition Specialist (DAS)- We are responsible for acquiring external data, eg. MRI images, spirometry, ECGs, biomarker data, in a standardized format for inclusion with the database captured clinical trial data. We operate in a cross functional team and in partnership with external vendors, utilizing a variety of data collection tools and scientific knowledge.
+ **Skills** : Programming experience is not essential
+ **Role:** Technical Excellence - We accelerate data delivery (acquisition, access & review) by innovative, sustainable and scalable solutions, including automation and AI/ML
+ **Skills;** programming skills (R, python or anything else); ability to explain complex concepts to non-technical audiences; any of Git; AI/ML; data visualisation (e.g. graphs); software development; CI/CD; database management/administration (e.g. SQL, AWS) are beneficial but not essential.
**Business Operations:**
+ **Role:** The Business Strategy & Operations team ensures regulatory alignment, quality, and compliance, manages vendor relationships, oversees data monitoring and healthcare professional interactions, drives efficiency through automation and knowledge management, and facilitates secure, transparent data sharing in compliance with data protection laws. Project management & strategic planning skills would be useful.
**Quantitative Clinical Pharmacology:**
+ **Role:** To support the conduct of Quantitative Clinical Pharmacology activities by creating ready to use analysis datasets, providing graphical evaluation of the data and conducting exploratory analysis.
+ **Skills:** R programming experience (or other coding language); familiarity with Microsoft Office, or Google equivalent; data visualisation (e.g. graphs); an interest in how biological systems work.
**Real World & Clinical Data Strategy:**
+ **Role:** We provide expertise and strategic oversight in the conceptualisation, design, conduct, analysis and interpretation of real world data studies, as well as secondary use and standardisation of both clinical trial data and trial operational data, for the development of access to Roche's medicines.
+ There are numerous roles within this group, from: data strategy; evidence generation; data management; curation, integration and governance; and advanced analytics/programming.
+ **Key skills** : Communication (written and verbal); problem solving; collaboration and interpersonal skills; time management; analytical thinking; attention to detail
Comprehensive training and mentoring will be provided to equip you with the specific skills, tools and processes needed for success in each position.
**Who You Are**
To be considered for this opportunity, applicants should be:
+ An undergraduate in their second year of their Bachelor's/second or third year of their Integrated Masters Degree
+ Currently undertaking a relevant data-oriented subject (e.g. Biological/ Biomedical Sciences, Neuroscience, Mathematics, Statistics, Data Science, Bioengineering, Computer Science etc.)
+ Interested in healthcare, data science and drug development - a passion for healthcare and enthusiasm are vital.
+ Experience or has knowledge in data handling and analysis techniques. Familiarity with programming languages like R, Python or SAS is advantageous for certain roles but not mandatory.
+ Values and contributes to a supportive and inclusive collaborative working environment.
+ Has a good understanding of their own strengths and areas for development.
If you're passionate about making a difference in patients' lives and possess the teamwork and innovation we're looking for, Roche could be the perfect fit for you. In return, we provide a competitive salary and excellent benefits, including a genuine interest in your career development and progression.
Applicants must be able to attend an **in-person assessment centre** on either **19th or 20th November 2025** at Roche's office in Welwyn Garden City.
**Phase I:**
+ Submission of Cover Letter & CV: Evaluation of technical skills, motivation and behaviors.
**Phase II:**
+ Video Interview: Assessment of motivation and passion.
**Phase III:**
+ Final Assessment Centre: This will involve a full day of interviews, group tasks and a technical test. We'll be looking at your technical abilities, what motivates you and how you work with others. There is also time set aside for building tours and informal conversations with PDD members of staff.
**Application Process deadline:** Sunday, 26th October 2025
**Who we are**
A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together.
The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.
**The Position**
**Who We Are**
At Roche, 97,000 people across 150 countries are pushing back the frontiers of healthcare. Working together, we've become one of the world's leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.
Our UK Pharmaceutical head office, one of our primary global offices, is situated in Welwyn Garden City, Hertfordshire and is surrounded by beautiful countryside. Supported by major motorways and airports, as well as being a 25-minute train ride to central London, access is easy. With over 1800 people occupying our site in Welwyn, you can expect interactions with Product Development (PD), Early Development (pRED), Commercial (Rx) and our corporate function. The extensive overlap and interaction with other functions means Roche provides an unmatched experience as well as ample networking opportunities.
**The Opportunity**
The Product Development Data Sciences (PDD) department in Roche's Pharmaceutical Division focuses on three core areas: identifying evidence needed in bringing our drugs to market, making high-quality data accessible and generating insights through data analysis. This involves leveraging diverse datasets from clinical trials, real-world evidence and digital sources to understand patient pathways, disease progression and patient outcomes.
Data science has become essential for extracting meaningful insights from the growing variety and complexity of data enabled by advances in digital technology. In biopharma, each data point represents part of a patient's journey, contributing to the understanding of disease and the development of better medicines. Maximizing the potential of this data allows for groundbreaking analyses and insights.
The PDD Department in Welwyn Garden City is seeking industrial placement students starting in **July 2026** **for 13 months** to support the advancement of medicines. Successful candidates will be evaluated for multiple roles across the department, each requiring a diverse range of skills. These roles offer opportunities to leverage your expertise or interest in areas such as:
**Biostatistics:**
+ **Role:** Biostatisticians use statistical methods to design and analyse the data collected in our clinical trials. We often collaborate with clinical scientists to interpret results, and work closely with other members of data science eg. Data Management and Statistical Programming, to ensure the quality and integrity of study data. We also conduct exploratory analyses, trialling new or alternative statistical methods to better understand our data, and inform decision making.
+ **Skills** : Knowledge and understanding of basic statistics; programming skills (R, SAS or other coding languages) are beneficial.
**Statistical Programming:**
+ **Role:** Analytical Data Scientist (ADS) - We are responsible for providing analytical and programming expertise for the reporting and analysis of clinical trials and related submissions to Health Authorities worldwide. We work closely with other members of data sciences, in particular biostatistics and data management, to ensure quality and integrity of study data. We also collaborate with other functional experts to determine appropriate analysis of data for respective disease areas.
+ **Skills:** Programming skills (R, SAS or anything else) are beneficial; ability to explain complex concepts to non-technical audiences; growth mindset; innovation
**Data Management:**
+ **Role:** Study Data Manager (SDM) - We are responsible for the collection, delivery and quality of data in standardized, quality clinical trial databases, in readiness for analysis by Statistical Programming and Biostatistics. We operate in a cross functional team and in partnership with external business partners utilizing a variety of data surveillance tools with disease area knowledge
+ **Skills** : Project Management - Programming experience is not essential
+ **Role:** Data Acquisition Specialist (DAS)- We are responsible for acquiring external data, eg. MRI images, spirometry, ECGs, biomarker data, in a standardized format for inclusion with the database captured clinical trial data. We operate in a cross functional team and in partnership with external vendors, utilizing a variety of data collection tools and scientific knowledge.
+ **Skills** : Programming experience is not essential
+ **Role:** Technical Excellence - We accelerate data delivery (acquisition, access & review) by innovative, sustainable and scalable solutions, including automation and AI/ML
+ **Skills;** programming skills (R, python or anything else); ability to explain complex concepts to non-technical audiences; any of Git; AI/ML; data visualisation (e.g. graphs); software development; CI/CD; database management/administration (e.g. SQL, AWS) are beneficial but not essential.
**Business Operations:**
+ **Role:** The Business Strategy & Operations team ensures regulatory alignment, quality, and compliance, manages vendor relationships, oversees data monitoring and healthcare professional interactions, drives efficiency through automation and knowledge management, and facilitates secure, transparent data sharing in compliance with data protection laws. Project management & strategic planning skills would be useful.
**Quantitative Clinical Pharmacology:**
+ **Role:** To support the conduct of Quantitative Clinical Pharmacology activities by creating ready to use analysis datasets, providing graphical evaluation of the data and conducting exploratory analysis.
+ **Skills:** R programming experience (or other coding language); familiarity with Microsoft Office, or Google equivalent; data visualisation (e.g. graphs); an interest in how biological systems work.
**Real World & Clinical Data Strategy:**
+ **Role:** We provide expertise and strategic oversight in the conceptualisation, design, conduct, analysis and interpretation of real world data studies, as well as secondary use and standardisation of both clinical trial data and trial operational data, for the development of access to Roche's medicines.
+ There are numerous roles within this group, from: data strategy; evidence generation; data management; curation, integration and governance; and advanced analytics/programming.
+ **Key skills** : Communication (written and verbal); problem solving; collaboration and interpersonal skills; time management; analytical thinking; attention to detail
Comprehensive training and mentoring will be provided to equip you with the specific skills, tools and processes needed for success in each position.
**Who You Are**
To be considered for this opportunity, applicants should be:
+ An undergraduate in their second year of their Bachelor's/second or third year of their Integrated Masters Degree
+ Currently undertaking a relevant data-oriented subject (e.g. Biological/ Biomedical Sciences, Neuroscience, Mathematics, Statistics, Data Science, Bioengineering, Computer Science etc.)
+ Interested in healthcare, data science and drug development - a passion for healthcare and enthusiasm are vital.
+ Experience or has knowledge in data handling and analysis techniques. Familiarity with programming languages like R, Python or SAS is advantageous for certain roles but not mandatory.
+ Values and contributes to a supportive and inclusive collaborative working environment.
+ Has a good understanding of their own strengths and areas for development.
If you're passionate about making a difference in patients' lives and possess the teamwork and innovation we're looking for, Roche could be the perfect fit for you. In return, we provide a competitive salary and excellent benefits, including a genuine interest in your career development and progression.
Applicants must be able to attend an **in-person assessment centre** on either **19th or 20th November 2025** at Roche's office in Welwyn Garden City.
**Phase I:**
+ Submission of Cover Letter & CV: Evaluation of technical skills, motivation and behaviors.
**Phase II:**
+ Video Interview: Assessment of motivation and passion.
**Phase III:**
+ Final Assessment Centre: This will involve a full day of interviews, group tasks and a technical test. We'll be looking at your technical abilities, what motivates you and how you work with others. There is also time set aside for building tours and informal conversations with PDD members of staff.
**Application Process deadline:** Sunday, 26th October 2025
**Who we are**
A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together.
The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.
This advertiser has chosen not to accept applicants from your region.
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6
Director, Data Science - Measurement & Optimization
Uxbridge, London
Gilead Sciences, Inc.
Posted 8 days ago
Job Viewed
Job Description
At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.
Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact.
We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together.
**Job Description**
**Director** **, Data Science - Measurement & Optimization**
**_Office Location: Stockley Park, UK - 3 days a week_**
As **Director, Data Science - Measurement & Optimization** , you will report to the Senior Director, Data Science - AI & Optimization. Based in Stockley Park, UK, you will proactively bring innovative data science techniques and insights to the business to drive/support strategic business decisions. You will be responsible for measurement solutions and resource optimization recommendations for commercial markets across Therapeutic Areas.
The ideal candidate brings deep expertise in developing marketing mix models and measurement frameworks, particularly within the pharmaceutical commercial domain. You will work closely with integrated insights, commercial ops, patient engagement and omnichannel analytics leads. You will be expected to turn business insights into technical details and vice versa acting as a conduit between business teams and other data scientists. You will also be required to stay in touch with emerging digital and other AI fields (such as Generative AI), focused on benchmarking and measurement. You will be expected to guide internal teams to make the right business decisions through effective value assessment and estimation, measurement planning and the measurement itself.
This is an individual contributor role, supported by a team of offshore data scientists. Occasional travel to global Gilead locations may be required. Hands-on functional expertise, highly collaborative mindset and leadership skills are required to perform this role efficiently.
**Key Responsibilities:**
**Responsibilities:**
+ Lead the development and delivery of models and methodologies to inform and evaluate brands' marketing and sales tactics (e.g., marketing mix, resource allocation) using the latest data science techniques (ANCOVA, Bayesian Statistics, Econometrics, Neural Networks/Logistic, etc.)
+ Oversee and guide the development and execution of experiments (e.g., A|B and multi-variate tests) to assess the effectiveness of tactics, modifying initiatives as required
+ Lead the design of KPIs to track the effectiveness of recommendations that have been implemented and the measurement of campaign impact (e.g., ROI, engagement, lift, etc.)
+ Understand Gilead's commercial business objectives, develop and deploy scalable data science products and insights to influence decisions in marketing, sales, medical, etc.
+ Lead Data science projects end to end including converting unstructured business questions into data science solutions, give guidance to offshore, be a hands-on leader who knows how to code and debug, and communicate with stakeholders.
+ Foster a culture of measurement and impact and incorporate feedback to continuously improve data science models
+ Bring thought leadership and thorough understanding of statistics, primarily predictive algorithms & methodologies, to construct robust propensity models for impactful commercial use
+ Create data science products that can be refreshed, reproduced and replicated consistently
+ Work with other Data Scientists and Analysts to define retraining schedule and measure propensity models for impact
+ Partner with global teams to cross-pollinate ideas and replicate successful models from other countries and vice versa
+ Excellent communication and ability to abstract backend complexity when unnecessary
**Basic Qualifications:**
+ Strong working knowledge of machine learning algorithms, including regression, clustering, neural networks, Bayesian models, RNN, CNN, Tree-based algorithms (RF, XGB, LightGBM), SMOTE, etc.
+ Experience in building, implementing and using AI-based solutions with proven business impact
+ Strong leadership capable of managing initiatives from beginning to end independently
+ Effective written and verbal communication skills
+ Degree or above with significant relevant data science/analytics experience
+ Benchmarking experience in digital and / or emerging AI fields such as generative AI.
**Preferred Experience:**
+ Experience in measuring, implementing, optimizing and using AI-based solutions to establish proven business impact
+ Experience in designing test control experiments
+ Experience working with standard pharma and consumer data types and sources such as patient claims, Xponent, Plantrak, sales, activity
+ Expertise in commonly used pharma datasets such as IQVIA, Symphony, Komodo claims, Optum, Definitive health, Health Verity, EMR/EHR
+ Expertise in Python including commonly used data science libraries such as numpy, pandas, scikit-learn, seaborn, networkx, etc.
+ Expertise in data science techniques such as ANCOVA, Bayesian Statistics, Econometric modelling, Neural Networks/Logistic, etc.
+ Understanding of cloud-based technologies and tools such as Databricks, AWS, etc.
+ Experience designing measurement solutions in any visualization software (Tableau preferred)
+ Experience with ex-US (European) markets is not required but highly preferred
+ Demonstrated product mindset
+ Familiarity with product management principles
+ Effective written and verbal communication skills
+ Strong team player. Inclusive, objective, cross-functional, team member with a positive and solution-oriented mindset
+ Understanding of emerging data science capabilities (fields, methodologies, algorithms, etc.) and potential application in pharma/health care
+ Thorough understanding of datasets including their strengths and limitations such as capture rate, projections and acceptable error ranges for different therapeutic spaces
**Competencies:**
**Structured Problem Solving -** Demonstrates the ability to bring clarity to complex challenges by applying structured thinking, guiding teams through ambiguity, and mobilizing resources to deliver timely and effective solutions.
**Collaborative Influence -** Influences without direct authority by building trust, demonstrating subject matter expertise, and communicating with authenticity. Listens actively, adapts messaging to the audience, and uses data-driven persuasion to align stakeholders.
**Results Orientation -** Maintains a strong focus on outcomes, consistently driving toward ambitious goals-even in the face of adversity. Takes ownership, makes informed decisions, and ensures accountability to move initiatives forward.
**Strategic -** Anticipates evolving business needs and market dynamics. Translates vision into actionable plans, identifies growth opportunities, and adjusts priorities to align with long-term objectives.
**Measurement-Driven -** Champions a culture of evidence-based decision-making. Designs and executes strategies with measurable impact, leveraging KPIs and analytics to track performance and optimize results.
**Enterprise Thinking -** Advocates for decisions and actions that foster cross-functional collaboration and breaking down silos to drive unified outcomes. Encourages a big-picture perspective, long-term value creation, and a unified approach to business challenges, ensuring that decisions promote the overall health and success of the organization.
**People Leader Accountabilities:**
**Create Inclusion -** Knows the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they lead their teams.
**Develop Talent -** Understands the skills, experience, aspirations and potential of their employees and coach them on current performance and future potential. Ensure employees receive the feedback and insight needed to grow, develop and realize their purpose.
**Empower Teams -** Connects the team to the organization by aligning goals, purpose, and organizational objectives, and holding them to account. Provides the support needed to remove barriers and connect their team to the broader ecosystem.
**Equal Employment Opportunity (EEO)**
It is the policy of Gilead Sciences, Inc. and its subsidiaries and affiliates (collectively "Gilead" or the "Company") to recruit select and employ the most qualified persons available for positions throughout the Company. Except if otherwise provided by applicable law, all employment actions relating to issues such as compensation, benefits, transfers, layoffs, returns from layoffs, company-sponsored training, education assistance, social and recreational programs are administered on a non-discriminatory basis (i.e. without regard to protected characteristics or prohibited grounds, which may include an individual's gender, race, color, national origin, ancestry, religion, creed, physical or mental disability, marital status, sexual orientation, medical condition, veteran status, and age, unless such protection is prohibited by federal, state, municipal, provincial, local or other applicable laws). Gilead also prohibits discrimination based on any other characteristics protected by applicable laws.
**For Current Gilead Employees and Contractors:**
Please apply via the Internal Career Opportunities portal in Workday.
Gilead Sciences, Inc. is a biopharmaceutical company that has pursued and achieved breakthroughs in medicine for more than three decades, with the goal of creating a healthier world for all people. The company is committed to advancing innovative medicines to prevent and treat life-threatening diseases, including HIV, viral hepatitis and cancer. Gilead operates in more than 35 countries worldwide, with headquarters in Foster City, California.
Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact.
We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together.
**Job Description**
**Director** **, Data Science - Measurement & Optimization**
**_Office Location: Stockley Park, UK - 3 days a week_**
As **Director, Data Science - Measurement & Optimization** , you will report to the Senior Director, Data Science - AI & Optimization. Based in Stockley Park, UK, you will proactively bring innovative data science techniques and insights to the business to drive/support strategic business decisions. You will be responsible for measurement solutions and resource optimization recommendations for commercial markets across Therapeutic Areas.
The ideal candidate brings deep expertise in developing marketing mix models and measurement frameworks, particularly within the pharmaceutical commercial domain. You will work closely with integrated insights, commercial ops, patient engagement and omnichannel analytics leads. You will be expected to turn business insights into technical details and vice versa acting as a conduit between business teams and other data scientists. You will also be required to stay in touch with emerging digital and other AI fields (such as Generative AI), focused on benchmarking and measurement. You will be expected to guide internal teams to make the right business decisions through effective value assessment and estimation, measurement planning and the measurement itself.
This is an individual contributor role, supported by a team of offshore data scientists. Occasional travel to global Gilead locations may be required. Hands-on functional expertise, highly collaborative mindset and leadership skills are required to perform this role efficiently.
**Key Responsibilities:**
**Responsibilities:**
+ Lead the development and delivery of models and methodologies to inform and evaluate brands' marketing and sales tactics (e.g., marketing mix, resource allocation) using the latest data science techniques (ANCOVA, Bayesian Statistics, Econometrics, Neural Networks/Logistic, etc.)
+ Oversee and guide the development and execution of experiments (e.g., A|B and multi-variate tests) to assess the effectiveness of tactics, modifying initiatives as required
+ Lead the design of KPIs to track the effectiveness of recommendations that have been implemented and the measurement of campaign impact (e.g., ROI, engagement, lift, etc.)
+ Understand Gilead's commercial business objectives, develop and deploy scalable data science products and insights to influence decisions in marketing, sales, medical, etc.
+ Lead Data science projects end to end including converting unstructured business questions into data science solutions, give guidance to offshore, be a hands-on leader who knows how to code and debug, and communicate with stakeholders.
+ Foster a culture of measurement and impact and incorporate feedback to continuously improve data science models
+ Bring thought leadership and thorough understanding of statistics, primarily predictive algorithms & methodologies, to construct robust propensity models for impactful commercial use
+ Create data science products that can be refreshed, reproduced and replicated consistently
+ Work with other Data Scientists and Analysts to define retraining schedule and measure propensity models for impact
+ Partner with global teams to cross-pollinate ideas and replicate successful models from other countries and vice versa
+ Excellent communication and ability to abstract backend complexity when unnecessary
**Basic Qualifications:**
+ Strong working knowledge of machine learning algorithms, including regression, clustering, neural networks, Bayesian models, RNN, CNN, Tree-based algorithms (RF, XGB, LightGBM), SMOTE, etc.
+ Experience in building, implementing and using AI-based solutions with proven business impact
+ Strong leadership capable of managing initiatives from beginning to end independently
+ Effective written and verbal communication skills
+ Degree or above with significant relevant data science/analytics experience
+ Benchmarking experience in digital and / or emerging AI fields such as generative AI.
**Preferred Experience:**
+ Experience in measuring, implementing, optimizing and using AI-based solutions to establish proven business impact
+ Experience in designing test control experiments
+ Experience working with standard pharma and consumer data types and sources such as patient claims, Xponent, Plantrak, sales, activity
+ Expertise in commonly used pharma datasets such as IQVIA, Symphony, Komodo claims, Optum, Definitive health, Health Verity, EMR/EHR
+ Expertise in Python including commonly used data science libraries such as numpy, pandas, scikit-learn, seaborn, networkx, etc.
+ Expertise in data science techniques such as ANCOVA, Bayesian Statistics, Econometric modelling, Neural Networks/Logistic, etc.
+ Understanding of cloud-based technologies and tools such as Databricks, AWS, etc.
+ Experience designing measurement solutions in any visualization software (Tableau preferred)
+ Experience with ex-US (European) markets is not required but highly preferred
+ Demonstrated product mindset
+ Familiarity with product management principles
+ Effective written and verbal communication skills
+ Strong team player. Inclusive, objective, cross-functional, team member with a positive and solution-oriented mindset
+ Understanding of emerging data science capabilities (fields, methodologies, algorithms, etc.) and potential application in pharma/health care
+ Thorough understanding of datasets including their strengths and limitations such as capture rate, projections and acceptable error ranges for different therapeutic spaces
**Competencies:**
**Structured Problem Solving -** Demonstrates the ability to bring clarity to complex challenges by applying structured thinking, guiding teams through ambiguity, and mobilizing resources to deliver timely and effective solutions.
**Collaborative Influence -** Influences without direct authority by building trust, demonstrating subject matter expertise, and communicating with authenticity. Listens actively, adapts messaging to the audience, and uses data-driven persuasion to align stakeholders.
**Results Orientation -** Maintains a strong focus on outcomes, consistently driving toward ambitious goals-even in the face of adversity. Takes ownership, makes informed decisions, and ensures accountability to move initiatives forward.
**Strategic -** Anticipates evolving business needs and market dynamics. Translates vision into actionable plans, identifies growth opportunities, and adjusts priorities to align with long-term objectives.
**Measurement-Driven -** Champions a culture of evidence-based decision-making. Designs and executes strategies with measurable impact, leveraging KPIs and analytics to track performance and optimize results.
**Enterprise Thinking -** Advocates for decisions and actions that foster cross-functional collaboration and breaking down silos to drive unified outcomes. Encourages a big-picture perspective, long-term value creation, and a unified approach to business challenges, ensuring that decisions promote the overall health and success of the organization.
**People Leader Accountabilities:**
**Create Inclusion -** Knows the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they lead their teams.
**Develop Talent -** Understands the skills, experience, aspirations and potential of their employees and coach them on current performance and future potential. Ensure employees receive the feedback and insight needed to grow, develop and realize their purpose.
**Empower Teams -** Connects the team to the organization by aligning goals, purpose, and organizational objectives, and holding them to account. Provides the support needed to remove barriers and connect their team to the broader ecosystem.
**Equal Employment Opportunity (EEO)**
It is the policy of Gilead Sciences, Inc. and its subsidiaries and affiliates (collectively "Gilead" or the "Company") to recruit select and employ the most qualified persons available for positions throughout the Company. Except if otherwise provided by applicable law, all employment actions relating to issues such as compensation, benefits, transfers, layoffs, returns from layoffs, company-sponsored training, education assistance, social and recreational programs are administered on a non-discriminatory basis (i.e. without regard to protected characteristics or prohibited grounds, which may include an individual's gender, race, color, national origin, ancestry, religion, creed, physical or mental disability, marital status, sexual orientation, medical condition, veteran status, and age, unless such protection is prohibited by federal, state, municipal, provincial, local or other applicable laws). Gilead also prohibits discrimination based on any other characteristics protected by applicable laws.
**For Current Gilead Employees and Contractors:**
Please apply via the Internal Career Opportunities portal in Workday.
Gilead Sciences, Inc. is a biopharmaceutical company that has pursued and achieved breakthroughs in medicine for more than three decades, with the goal of creating a healthier world for all people. The company is committed to advancing innovative medicines to prevent and treat life-threatening diseases, including HIV, viral hepatitis and cancer. Gilead operates in more than 35 countries worldwide, with headquarters in Foster City, California.
This advertiser has chosen not to accept applicants from your region.
7
Data Science Manager, Digital Technologies
London, London
Medtronic
Posted 23 days ago
Job Viewed
Job Description
At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You'll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.
**A Day in the Life**
The Digital Technologies Business Unit (DTBU) at Medtronic is implementing cutting-edge AI technology, computer vision, and augmented reality in the operating room (OR) to augment surgical coaching, and eventually, performance. Our goal is to deliver safer surgery around the world.
Our Touch SurgeryTM Video solution is an innovative video management and data analytics platform for hospitals that includes the DS1 Computer, our first OR device, allowing surgeons, OR team members, and trainees to securely access videos of their procedures shortly after surgery.
**Responsibilities may include the following and other duties may be assigned:**
+ Manage a team of data scientists within the Surgical Operating Unit at Medtronic.
+ Lead advanced analytics initiatives to foster a data-driven culture within Medtronic.
+ Act as a key stakeholder in the design and development of data infrastructure and models.
+ Guide the team in applying statistical and predictive methods to analyze customer behavior and product performance.
+ Oversee the development and productization of data products, delivering actionable insights to customers.
+ Support the professional development of team members and strengthen their technical capabilities.
+ Drive innovation and continuous improvement in data practices and analytics strategies.
**Required Knowledge and Experience:**
+ MSc or PhD in a STEM subject.
+ Previous experience managing teams of data scientists.
+ A solid grounding in SQL with a good understanding of best practices in software engineering and data engineering.
+ Practical object-oriented programming experience in Python with knowledge of relevant packages including Pandas, NumPy, SciPy, Matplotlib, Scikit-learn, Pytorch.
+ In-depth knowledge of statistical and machine learning models as well as experience with end-to-end delivery lifecycles.
+ Experience in writing clean and maintainable code for collaborative working and using code versioning tools.
+ Excellent communicator and experience with stakeholder management.
+ Self-starter mindset - you can proactively identify issues and opportunities for improvement.
+ Experience of and ability to effectively use cloud native data science tooling.
+ Extensive experience with Tableau and dbt or similar tooling.
Ideally, you will bring knowledge of data compliance frameworks, including GDPR, HIPAA, and SOC2 policies. Experience integrating highly heterogeneous data streams-such as IoT data, customer interactions, and product performance metrics-is also valuable. Additionally, domain knowledge in health technology or surgical practice would be a strong asset.
**Physical Job Requirements**
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.
**Benefits & Compensation**
**Medtronic offers a competitive Salary and flexible Benefits Package**
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).
**About Medtronic**
We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people.
We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.
Learn more about our business, mission, and our commitment to diversity here ( lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people.
We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.
**We change lives** . Each team member, each day, helps to improve and redefine how the world treats the most pressing health conditions, from heart disease to diabetes. Our industry leadership comes from the passion and ingenuity of our people. That's who we are. Working alongside one another, we use science, medicine, and a profound understanding of the human body to build extraordinary technologies that can transform lives.
**We build extraordinary solutions as one team** . With one Medtronic Mindset defining how we work. Speed and decisiveness run through our DNA. Diverse perspectives inspire our bold answers to any challenge that comes our way. And we deliver results the right way, breakthrough after patient breakthrough.
**This life-changing career is yours to engineer** . By bringing your ambitious ideas, unique perspective and contributions, you will.
+ **Build** a better future, amplifying your impact on the causes that matter to you and the world
+ **Grow** a career reflective of your passion and abilities
+ **Connect** to a dynamic and inclusive culture that welcomes the challenge of life-long learning
These commitments set our team apart from the rest:
**Experiences that put people first** . Respect for people is the hallmark of our humanity. It fuels our team to positively impact even a single life. And it means we put our people first at Medtronic as well, creating a culture of belonging and always pushing to get you the career-building resources you need.
**Life-transforming technologies** . No matter your role, you contribute to technologies that transform lives. What we build empowers patients to live life on their terms.
**Better outcomes for our world** . Here, it's about more than the bottom line. Our Mission to improve human welfare drives us. We advance healthcare, society, and equity with every design, inside and outside our walls.
**Insight-driven care** . Fresh viewpoints. Cutting-edge AI, data, and automation. You're shaping the future of healthcare technology and defining the next generation of breakthroughs in care
It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.
For sales reps and other patient facing field employees, going into a healthcare setting is considered an essential function of the job and we expect our employees to comply with all credentialing requirements at the hospitals or clinics they support.
This employer participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here ( .
For updates on job applications, please go to the candidate login page and sign in to check your application status.
If you need assistance completing your application please email
To request removal of your personal information from our systems please email
**A Day in the Life**
The Digital Technologies Business Unit (DTBU) at Medtronic is implementing cutting-edge AI technology, computer vision, and augmented reality in the operating room (OR) to augment surgical coaching, and eventually, performance. Our goal is to deliver safer surgery around the world.
Our Touch SurgeryTM Video solution is an innovative video management and data analytics platform for hospitals that includes the DS1 Computer, our first OR device, allowing surgeons, OR team members, and trainees to securely access videos of their procedures shortly after surgery.
**Responsibilities may include the following and other duties may be assigned:**
+ Manage a team of data scientists within the Surgical Operating Unit at Medtronic.
+ Lead advanced analytics initiatives to foster a data-driven culture within Medtronic.
+ Act as a key stakeholder in the design and development of data infrastructure and models.
+ Guide the team in applying statistical and predictive methods to analyze customer behavior and product performance.
+ Oversee the development and productization of data products, delivering actionable insights to customers.
+ Support the professional development of team members and strengthen their technical capabilities.
+ Drive innovation and continuous improvement in data practices and analytics strategies.
**Required Knowledge and Experience:**
+ MSc or PhD in a STEM subject.
+ Previous experience managing teams of data scientists.
+ A solid grounding in SQL with a good understanding of best practices in software engineering and data engineering.
+ Practical object-oriented programming experience in Python with knowledge of relevant packages including Pandas, NumPy, SciPy, Matplotlib, Scikit-learn, Pytorch.
+ In-depth knowledge of statistical and machine learning models as well as experience with end-to-end delivery lifecycles.
+ Experience in writing clean and maintainable code for collaborative working and using code versioning tools.
+ Excellent communicator and experience with stakeholder management.
+ Self-starter mindset - you can proactively identify issues and opportunities for improvement.
+ Experience of and ability to effectively use cloud native data science tooling.
+ Extensive experience with Tableau and dbt or similar tooling.
Ideally, you will bring knowledge of data compliance frameworks, including GDPR, HIPAA, and SOC2 policies. Experience integrating highly heterogeneous data streams-such as IoT data, customer interactions, and product performance metrics-is also valuable. Additionally, domain knowledge in health technology or surgical practice would be a strong asset.
**Physical Job Requirements**
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.
**Benefits & Compensation**
**Medtronic offers a competitive Salary and flexible Benefits Package**
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).
**About Medtronic**
We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people.
We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.
Learn more about our business, mission, and our commitment to diversity here ( lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people.
We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.
**We change lives** . Each team member, each day, helps to improve and redefine how the world treats the most pressing health conditions, from heart disease to diabetes. Our industry leadership comes from the passion and ingenuity of our people. That's who we are. Working alongside one another, we use science, medicine, and a profound understanding of the human body to build extraordinary technologies that can transform lives.
**We build extraordinary solutions as one team** . With one Medtronic Mindset defining how we work. Speed and decisiveness run through our DNA. Diverse perspectives inspire our bold answers to any challenge that comes our way. And we deliver results the right way, breakthrough after patient breakthrough.
**This life-changing career is yours to engineer** . By bringing your ambitious ideas, unique perspective and contributions, you will.
+ **Build** a better future, amplifying your impact on the causes that matter to you and the world
+ **Grow** a career reflective of your passion and abilities
+ **Connect** to a dynamic and inclusive culture that welcomes the challenge of life-long learning
These commitments set our team apart from the rest:
**Experiences that put people first** . Respect for people is the hallmark of our humanity. It fuels our team to positively impact even a single life. And it means we put our people first at Medtronic as well, creating a culture of belonging and always pushing to get you the career-building resources you need.
**Life-transforming technologies** . No matter your role, you contribute to technologies that transform lives. What we build empowers patients to live life on their terms.
**Better outcomes for our world** . Here, it's about more than the bottom line. Our Mission to improve human welfare drives us. We advance healthcare, society, and equity with every design, inside and outside our walls.
**Insight-driven care** . Fresh viewpoints. Cutting-edge AI, data, and automation. You're shaping the future of healthcare technology and defining the next generation of breakthroughs in care
It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.
For sales reps and other patient facing field employees, going into a healthcare setting is considered an essential function of the job and we expect our employees to comply with all credentialing requirements at the hospitals or clinics they support.
This employer participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here ( .
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Pricing & Data Science Manager - Fully Remote
East London, London
Eames Consulting
Posted today
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Job Description
New role - Pricing & Data Science Manager, (£100,000). opportunity. Eames exclusive role. I am looking for candidates with Personal lines pricing and or/data science (within pricing/actuarial) experience for this great opportunity with a client with ambitious growth plans. The role is fully remote (once a quarter visit to the office to see the team in London), and candidates must have the right to work in the UK to apply. Please reach out for more details: / .
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