74 Machine Learning Architect jobs in London

**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

Join to apply for the

Data Science Engineer

role at

TieTalent

OverviewnWe are seeking a skilled Data Science Engineer with a strong background in data science and experience in developing AI solutions. While a background in life sciences or clinical knowledge is preferred, it is not mandatory. This is an exciting opportunity to work on cutting-edge projects, leveraging your expertise in LLMs (Large Language Models) and AI technologies.

Responsibilities

Develop and implement AI-driven solutions for complex data science challenges.

Work with Large Language Models (LLMs) to create and optimize intelligent systems.

Collaborate with cross-functional teams to ensure solutions meet project requirements.

Contribute to projects in the pharma/life sciences domain (if applicable).

Qualifications

Minimum 5 years of experience in AI solution development.

Hands-on experience with Large Language Models (LLMs).

Proven track record as a Data Science Developer/Engineer

Senioriy level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Technology, Information and Internet

EEO statement and other relevant legal disclosures are retained as applicable.

#J-18808-Ljbffrn

Overview

Director, Open Intelligence

role at

WPP Media .nAt WPP Media, we believe in the power of our culture and our people. This role leads a team to develop and deploy data and analytics solutions for a leading client across markets and the portfolio of brands. The individual should have a strong understanding of tools in the media measurement, media analytics, experimentation and research and will become familiar with internal modeling and technology products to partner with data strategy and deployment teams for implementing at scale.nRole Summary And Impact

The Director, Open Intelligence leads a team to develop & deploy data and analytics solutions for a leading client across markets, the portfolio of brands. This individual should have a strong understanding of tools in the media measurement, media analytics, experimentation and research and will become familiar with internal modeling and technology products to partner with data strategy and deployment teams for implementing at scale. The Director is responsible for ensuring thought leadership and for guiding the direction and development of the department. The individual would be responsible for managing the delivery commitments for the client for data warehousing, manipulation and audience analytics and AI based solutions for audience insights and targeting.nResponsibilities

Establish an overall approach to data organization and analytical solutions inclusive of data architecture, managing taxonomies, warehousing tech and AI capabilities.nTranslate strategic goals into technical projects.nOversee the design, management, and application of Choreograph and third-party solutions for data assimilation, enrichment and analytics for delivering data sets and insights for strategic planning & activation.nAdvanced knowledge of data governance practices including data QA, general media naming taxonomy, data & platform integration, etc.nRobust knowledge of data management solutions in the markets.nStrong math or statistics background, specifically strong grasp of descriptive and probabilistic theories, sampling.nStrong understanding and experience in application of AI methodologies for data manipulation and insighting.nUnderstanding how different media platforms can target their audiences, what are their limitations and nuances.nUnderstanding media effectiveness landscape, its limitations and challenges.nAdvanced excel or python skills to be able to work with huge data sets.nSQL, experience with GCP, Snowflake, infosum and other databases to extract the data and build data pipeline.nExperience with Power BI or other data visualization tools especially geo coded data is a big plus.nBayesian statistics, propensity modelling also a big plus.nWrite POVs on industry topics and provide thought leadership on data privacy laws, third-party measurement tools, and space, the consumer marketplace, vertical expertise, etc.nLead departmental projects and workflows including research & development, product roadmaps, interpersonal and coaching builds, etc.nAdvanced knowledge of full-funnel strategy, with a focus on eCommerce and in-store driving tactics; synergy between brand and demand media.nSupport new business pitches where needed.nDevelop and maintain all client relationships inclusive of being the main connection between senior organizational analytics and digital leads as well as C-level management.nTeam development and management skills.nBachelors or advanced degree in Statistics, Economics, Business, Math, or Sciences is preferred.nExperience managing a mid-to-large size team.nStrong analytic and problem-solving skills.nExperience in design and execution of data storage and analysis solutions.nExperience in building advanced AI solutions for audience analytics and insights.nLife At WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.nWPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.nWe believe the best work happens when we’re together, fostering creativity, collaboration, and connection. That’s why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.nPlease note this is a UK based role and requires individuals to have the right to work in this locationnPlease read our Privacy Notice for more information on how we process the information you provide.

#J-18808-Ljbffrn

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 offer

• Interact 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.

What You Will Do

• 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.

What you'll bring

• 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.

In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

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

Our client is offering an exceptional opportunity for a motivated and bright Data Science Graduate Trainee to embark on a career in data analytics within a leading organisation based in London, England, UK . This is a fantastic entry-level position designed for recent graduates eager to apply their academic knowledge in a practical, business-focused environment. You will work alongside experienced data scientists and analysts, gaining invaluable hands-on experience in data collection, cleaning, analysis, and interpretation. This role offers a blend of in-office collaboration and remote flexibility, providing a well-rounded learning experience.

As a Graduate Trainee, you will be involved in various stages of data projects, contributing to the development of data-driven insights that inform strategic decision-making across the company. You will have the chance to learn and utilise a range of tools and technologies, developing a strong foundation in data science methodologies. This position is ideal for individuals with a strong analytical mindset, excellent problem-solving skills, and a passion for uncovering meaningful patterns within data. We are looking for candidates who are eager to learn, adaptable, and possess a keen eye for detail.

Responsibilities:

• Assist senior data scientists in collecting, cleaning, and preprocessing large datasets from various sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Support the development and implementation of statistical models and machine learning algorithms.
• Contribute to the creation of data visualizations and reports to communicate findings effectively.
• Collaborate with cross-functional teams to understand data requirements and business challenges.
• Learn and apply various data analysis techniques and tools, including SQL, Python, R, and relevant libraries.
• Assist in documenting data processes, methodologies, and findings.
• Participate in team meetings, brainstorming sessions, and training opportunities.
• Gain exposure to different areas of data science, including predictive modeling, data mining, and business intelligence.
• Contribute to maintaining data quality and integrity throughout projects.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong foundational understanding of statistical concepts and data analysis techniques.
• Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
• Familiarity with SQL for database querying.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work both independently and collaboratively in a team environment.
• Understanding of data visualization principles is a plus.
• Prior internship or project experience in data analysis is advantageous.

This is a challenging and rewarding internship program for aspiring data professionals.

We're defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming.

Here, "impossible" isn't part of our vocabulary. You'll face some of the toughest but most rewarding challenges of your career. They're worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers.

The Crown Is Yours

DraftKings is a leader in the digital sports entertainment and gaming industry. We provide a world-class, immersive experience for our users and are at the forefront of technological innovation in the industry. Our Sports Intelligence team plays a critical role in developing solutions that power our platform and drive our business forward. We are forming a new unit focused on driving automation and efficiency within our Sportsbook. You'll build complex low latency systems to support data science decision-making at scale, to unlock more value for the business.

As a Senior Data Science Engineer at DraftKings, you will play a pivotal role in driving our data science initiatives forward. You will be responsible for developing advanced models and algorithms, analyzing large datasets, and providing actionable insights to enhance our product offerings and business operations.

What You'll Do as a Senior Data Science Engineer

Lead data science projects from conception to deployment, ensuring high-quality and timely delivery.nDevelop and implement statistical models and machine learning algorithms to solve complex business problems.nCollaborate with cross-functional teams to integrate data science solutions into production systems.nMentor junior data scientists and provide guidance on best practices and methodologies.nCommunicate technical findings and insights to internal stakeholders to support data-driven decision-making.nAssist with the adoption of data-driven strategies into the trading processesnAssist with the design, development, maintenance, and testing strategy of trading automation solutions, ensuring alignment with overall business objectivesnWhat You'll BringnProven experience in data science, with a strong foundation in machine learning and statistical modeling.nExperience developing LSTM-based models for sequential forecasting or behavioral modeling.nFamiliarity with probabilistic graphical models (e.g., Bayesian networks, Markov random fields) for structured data relationships.nProficiency in programming languages such as Python or R, and experience with data manipulation and visualization tools.nDemonstrated ability to break down complex problems into manageable tasks and deliver high-quality results.nExcellent problem-solving skills and the ability to work collaboratively in a team environment.nExperience in developing and implementing automated trading or decision-making systems is highly desirablenExperience with Kubernetes and Kafka are desirablenExperience with Databricks is desirablenExperience with experimentation is desirablenA Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.n#LI_SM1

Join Our Team

We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.n#J-18808-Ljbffrn

Job Description Summaryn- Understands complex and critical business problems from various stakeholders and functions. Formulates integrated analytical approaches to mine data sources, employs statistical methods and machine learning algorithms to address unmet medical needs, discover actionable insights, and automate processes to reduce effort and time for repetitive tasks. Manages the definition, implementation, and adherence to the data lifecycle of enterprise data—from acquisition or creation through enrichment, consumption, retention, and retirement—ensuring the availability of clean, accurate data throughout its useful lifecycle. Demonstrates high agility to work across different business domains. Integrates business presentations, visualization tools, and storytelling to communicate findings clearly and impactfully to business users. Independently sets strategy, manages budgets, and ensures appropriate staffing and project coordination within the area. If managing a team, empowers members, provides guidance, and coaches with limited oversight from senior managers.nJob DescriptionnOur Development Team is guided by our purpose: to reimagine medicine to improve and extend people's lives. We are optimizing processes, investing in new technologies, and building therapeutic and platform capabilities to bring medicines to patients faster. We seek talented individuals like you to join us and help give people with disease and their families a brighter future. Apply today and thrive together!nThe RolenAs an Associate Director of Data Science in the Medical Affairs Advanced Quantitative Sciences group, you will lead data science methodologies applied to patient-level data—clinical, real-world, and biomarker data—across clinical development. You will combine your expertise in data science and AI with your scientific knowledge in biology or medicine to support drug development decisions in collaboration with internal and external partners.nKey Accountabilities:nContribute to planning, executing, interpreting, validating, and communicating exploratory analyses and algorithms to facilitate decision-making.nProvide technical expertise in data science and machine learning/AI to identify opportunities influencing internal decisions and regulatory discussions.nPerform hands-on analysis of integrated clinical trial and real-world data to generate evidence supporting decision-making in drug development.nYour ExperiencenPh.D. in data science, biostatistics, or a related quantitative field (or equivalent).nExperience in clinical drug development, especially clinical trials.nStrong knowledge of statistical methods such as time-to-event analysis, machine learning, meta-analysis, mixed-effects and longitudinal modeling, Bayesian methods, variable selection techniques (e.g., lasso, elastic net, random forest), and clinical trial design.nProficiency in R and Python programming, with skills in data visualization, exploratory analysis, and predictive modeling.nExcellent communication skills, both verbal and written.nAbility to prepare and deliver clear presentations for decision-making contexts.nWhy Novartis:

Join us to help people with disease and their families. Collaborate, support, and innovate to achieve breakthroughs that change lives. Learn more:

to Diversity & Inclusion:

We strive to build an inclusive environment reflecting the patients and communities we serve.nJoin our Novartis Network:

Not the right role? Sign up to stay connected:

Desired:

Apache Spark, AI, Big Data, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Machine Learning, Python, R, Statistical Analysis

#J-18808-Ljbffrn

Overview

Head of Data Science

is required by a

FTSE 100

business.nThe Head of Data Science reports to the Chief Data Officer, who sits at Board Level. The Head of Data Science themselves will sit on the company's Executive Management Committee (top 20 Management Execs in the company).nKey objectives

Using predictive modelling to reduce disruption across the businessnBuilding scale & developing structure in the data science teamnEducate and continue to build growing analytics community in the businessnDisruption modelling will include working across all areas of the business, not limited to marketing or customer data.nThe Data science team

The head of data science will have 4 lead data scientists reporting to them with 4/5 people reporting to each of them. Team generally consist of PhD Level Data Science talent.nKey areas for the Head of Data science

Presentation and communication at Board levelnCreative thinker – conception to execution of projects is very quicknExperience of building structure and organisational competencynBudget responsibilitynHow to apply

If you’d like to apply for the Head of Data Science role click on the link to send a CV / Executive Bio and Cover note.

#J-18808-Ljbffrn