Explore the exciting realm of AI jobs in Data Science Manager
Posted 8 days ago
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Location: Kingston Upon Thames
About Unilever
With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to Brighten Everyday Life, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people - we believe that when our people work with purpose, we will create a better business and a better world .
Are you passionate about using data to drive evidence-based decision making? Can you work with sizeable datasets and manipulate them in a logical way to elicit insights with clarity?
We are looking for a senior data scientist that thinks in a clear and organised manner to help us tackle challenging business problems with data and a mathematical approach. The right candidate would be able to work under time-pressure, generating accurate and complex analysis. The role holder would have an ability to explain complicated concepts to a lay-person and think creatively about problem-solving.
Overview
The Unilever People Analytics team is a pioneering group of statisticians, data scientists and visualisation experts that utilise advanced statistical techniques to analyse our HR, financial and marketing data.
The role encompasses discovering and rationalising historical patterns in large data sets, developing predictive models, creating automated data solutions and researching machine learning techniques that are proprietary to Unilever. It also involves working to enhance the team's infrastructure by introducing new tools and technologies in collaboration with our IT and Data Foundation partners.
What we are looking for
We are seeking a candidate that can work with speed and accuracy, looking to apply their problem- solving, mathematical and programming skills to business questions through a people-lens. The successful candidate would be able to demonstrate a thirst for learning and a passion for using data to generate insights. There will be frequent and varied opportunities to develop your business acumen and present complex analysis to senior business leaders. Projects are very varied and require a combination of technical skills as well as an understanding of the business context. Mentoring team members in the application of analytical techniques will be a core requirement.
An understanding of Generative AI techniques (including Retrieval-Augmented Generation) and experience of building solutions with Generative AI would be an advantage.
A mature attitude to developing relationships with multiple stakeholders, and tenacity to drive projects forward to tight deadlines and the ability to solve problems on your own will be the key to your success in this role.
At least three years working in a similar capacity would be advantageous to your application although no prior HR experience is needed. Success will be defined through application of your analytical techniques.
Technical Skills and Qualifications
A 2:1 or above from a recognised university in a quantitative subject. A demonstrable passion for machine learning / data science or statistics is crucial.
A comprehensive understanding of most of the following would be expected: Generalised Linear Models, CART, Random Forests, Clustering, Principal Components Analysis and Network Theory. Experience of Neural Networks would be a plus, but not essential.
Knowledge of Python would be essential as well as good working knowledge of SQL.
What We Offer
Not only do we offer a competitive salary and pension scheme, we also offer an annual bonus, free gym, a discounted staff shop and shares. You'll have the opportunity to work directly with our renowned and exciting brands in a flexible and hybrid working environment.
Whilst the role is advertised on a full-time basis, we would be happy to discuss possible flexible working options and what this may look like for you. We are a key advocate of wellbeing and offer a variety of support for our people including hubs, programmes and development opportunities. We strive to achieve a family-friendly and inclusive workplace and to, above all, create possibilities for all.
Diversity at Unilever is about inclusion, embracing differences, creating possibilities and growing together for better business performance. We embrace diversity in our workforce. This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity. We are also more than happy to provide reasonable adjustments during our application and interview process to enable you to be present your best self. To find out more , click here: Equity, Diversity & Inclusion ( Fraud
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How is Unilever tackling this?
Many of Unilever's recruitment sites publish a warning to candidates about recruitment fraud. The Cyber Security team also proactively scan for signs of people setting up fake Unilever sites and act to close them down.
What can I do?
If you become aware of potential recruitment fraud, spot fake Unilever recruitment adverts or fake LinkedIn profiles, report them via Una Live Chat.
Unilever does not accept responsibility or liability for any candidates who are financially impacted by recruitment fraud. Your vigilance is key!
Job Category: Human Resources
Job Type: Full time
Industry:
Data Science Manager
Posted 11 days ago
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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
Data Science Manager
Posted today
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Job Description
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
Influence product direction through clear and compelling presentations to leadership
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
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:nMinimum Qualifications:nCurrently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree ideally should be completed before joining Meta
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
Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Experience initiating and completing analytical projects with minimal guidance
Experience communicating results of analysis to leadership
Preferred Qualifications:nPreferred Qualifications:nProven track record of leading impact oriented analytics teams.
Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
Experience working in technology, consulting, or finance.
Industry:
Internet
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Data Science Manager
Posted 21 days ago
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Job Description
At Zego, we know that traditional motor insurance holds good drivers back. It’s too complicated, too expensive, and it doesn't take into account how well you actually drive.
That’s why, since 2016, we’ve been on a mission to change all of that. Our mission at Zego is to offer the lowest priced insurance for good drivers.
From van drivers and gig workers to everyday car drivers, our customers are our driving force — they’re at the heart of everything we do.
We’ve sold tens of millions of policies so far, and raised over $200 million in funding. And we’re only just getting started.
Who we're looking for
We are looking for a Data Science Manager, reporting to the Head of Data Science to be a pivotal contributor to our Core Pricing team. The mission is to build and run a world-class data-science operating model that turns ideas into production-grade pricing and risk models fast, safely, and repeatedly.
Key Responsibilities
- Establish a reliable Data Science workflow – clear guard-rails, templates, and documentation across the full project lifecycle
- Shorten the idea-to-production cycle – from first data pull to live rate change
- Foster a culture of collaborative experimentation – pairing Pricing, Data Science, Machine Learning Engineering & Systems Engineering
- Line management and mentorship - Manage around 4 Data Scientists or Analysts and mentor members of the team and help them in their development
- Define coding standards and best practice, map common processes and establish playbooks for them
- Help decide on tooling used during the Data Science project lifecycle
Required Skills
- Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Actuarial Science, Data Science or related field
- Experience: At least 5 years proven experience in insurance pricing and applied ML, including leading projects and people, with a particular focus on Data Science operations
- Technical Skills:
- Python Proficiency: Strong Python programming skills, with experience in developing and maintaining analytics packages and tools. Familiarity with data science libraries such as pandas and scikit-learn
- SQL: Proficient in SQL, particularly with cloud data warehouses like Snowflake
- Statistical Methodology: In-depth knowledge of GLMs and other machine learning algorithms
- Data Tools: Familiarity with cloud-based data platforms (we’re on AWS) and data visualisation tools (Looker, matplotlib, seaborn)
- Software Engineering:
- Experience with version control systems (e.g., Git), CI/CD pipelines, and software development best practices in a data-intensive environment
- Ability to balance architecture thinking with heads-down coding
- Soft Skills:
- Excellent communication and project management skills, with a proven ability to work collaboratively across teams and present complex information in a clear, accessible way
- Care about documentation, reproducibility, and teaching others “the why” behind decisions
Nice To Have
- Exposure to telematics or usage-based insurance data
- Experience designing or maintaining MLOps platforms
- Hands-on experience with insurance pricing tools like Akur8, Emblem or similar pricing modelling tools
What’s it like to work at Zego?
Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things.
We’re spread throughout the UK and Europe, and united by our drive to get things done. We’re proud of our company and our culture – a friendly and inclusive space where we can lift each other up and celebrate our wins every day.
Together, we’re setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There’s loads of room to learn and grow, and you’ll get the freedom to steer your career wherever you want.
You’ll work alongside a talented group who embrace each other's differences and aren’t afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we’re making insurance matter.
How we work
We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. We ask you to spend at least one day a week in our central London office. We think it’s a good mix of collaborative face time and flexible home-working, setting us up to achieve the right balance between work and life.
Our approach to AI
We believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we’ll provide you with the tools, support, and freedom to do it well.
Benefits
We reward our people well. Join us and you’ll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that’s just for starters.
There’s more to Zego than just a job - Check out our blog for insights, stories, and more.
We’re an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status.
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Data Science Associate
Posted 23 days ago
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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.
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.
Data Science Intern
Posted 560 days ago
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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
Global Data Science Manager
Posted today
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A global premium lifestyle brand is seeking a Global Data Science Manager (MMM) to lead the development and delivery of marketing performance insights using advanced modelling techniques across global channels.
Key Responsibilities:
- Lead and deliver MMM, MMO, and MTA modelling projects to evaluate marketing effectiveness
- Present insights and recommendations to senior stakeholders, including C-suite
- Manage full project lifecycle: stakeholder interviews, data collection, modelling, and optimisation
- Oversee data extraction, transformation, and validation using tools such as SQL, Python, and Excel
- Translate complex analytics into clear, actionable insights and visual storytelling
Key Requirements:
- Proven experience in econometric modelling and marketing analytics
- Strong understanding of marketing strategy and media planning
- Experience presenting modelling outputs to senior stakeholders
- Background in retail or luxury retail preferred
- Advanced degree in a quantitative field
- Excellent communication and stakeholder management skills
Details:
- Start date: ASAP
- Duration: 12-month FTC
- Salary: £90,000 – £120,000 depending on experience
- Working model: Hybrid
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Data Science Lead - PharosAI
Posted 1 day ago
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Job Description About the Role
About the Project
We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing clinical applications, and improving access to cutting-edge technology across the UK healthcare and biotech sectors. Read more about the initiative here
This is a unique opportunity to help build a first-of-its-kind cancer AI development ecosystem, democratising access to data, technologies, and AI expertise, while directly contributing to patient care and innovation.
PharosAI offers more than a job—it offers a mission. You'll be part of a forward thinking, interdisciplinary team building a federated, secure AI platform designed to support NHS delivery, AI-driven drug discovery, and real-world clinical application. You'll also help lead the way in fair, transparent data sharing, patient involvement, and education in AI for healthcare professionals.
This is your chance to contribute to one of the most visionary cancer innovation projects in the UK—and make a real difference. This role is part of multiple exciting roles that we are recruiting into across a variety of disciplines for this project.
About you
For this role you will have a postgraduate degree and PHD in a related field and an enviable track record working with several modalities including genomics (WES, SNPs, transcriptomics), EHRs, and/or medical imaging. Your experience with machine learning and deep learning frameworks, development of API's and dashboards alongside proficiency in programming skills, will stand you out from your peers.
For all our roles we are searching for those who will be passionate about contributing to cutting-edge cancer research and AI-driven innovation, with either or both capable technical backgrounds and collaborative mindsets, and a commitment to delivering or supporting excellence in research and the impact this can have on our society.
The project will be based at the Barts Cancer Institute, part of the Faculty of Medicine and Dentistry.
About the Institute
The Barts Cancer Institute (BCI) is a Cancer Research UK Centre of Excellence whose work aims to transform the lives of those with and at risk of cancer through innovative research in the laboratory, in patients and in populations. BCI is internationally renowned in many areas of cancer research, and it combines ground-breaking basic research with the expertise of clinicians and clinician scientists. BCI is committed in supporting and developing future cancer researchers through its extensive postgraduate training
About Queen Mary
We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
We offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities in addition to comprehensive staff benefits, found here
Queen Mary's commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
*As part of the application process, you'll be required to answer specific questions. Depending on the number of applications received, we may do an initial shortlisting process based on this criterion only.
Closing Date
14/09/2025, 23:55
Data Science Lead - PharosAI
Posted today
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Responsibilities
Contribute to building a federated, secure AI platform designed to support NHS delivery, AI-driven drug discovery, and real-world clinical applications.
Help lead fair, transparent data sharing, patient involvement, and education in AI for healthcare professionals.
Collaborate within an interdisciplinary team of scientists, bioinformaticians and support colleagues to advance cancer research and AI-driven innovation.
About you / Qualifications
Postgraduate degree and PhD in a related field.
Experience with multiple modalities including genomics (WES, SNPs, transcriptomics), EHRs, and/or medical imaging.
Experience with machine learning and deep learning frameworks, API development, and dashboards.
Proficiency in programming and a collaborative mindset with a commitment to excellence in research and impact on society.
Position detailsnThe project will be based at the Barts Cancer Institute, part of the Faculty of Medicine and Dentistry.
About the InstitutenThe Barts Cancer Institute (BCI)
is a Cancer Research UK Centre of Excellence whose work aims to transform the lives of those with and at risk of cancer through innovative research in the laboratory, in patients and in populations. BCI is internationally renowned in many areas of cancer research, combining ground-breaking basic research with clinical expertise and extensive postgraduate training.
About Queen MarynWe continue to embrace diversity of thought and opinion in everything we do, with a commitment to inclusive employment policies, flexible working arrangements, and campus facilities. We provide comprehensive staff benefits and are open to considering applications from candidates wishing to work flexibly. Reasonable adjustments will be made at each stage of the recruitment process for candidates with a disability.
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Data Science Manager, Growth
Posted today
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As we scale, we're looking for a Product Data Science Manager to lead one of our key product areas for Growth. You will work in collaboration with the Product Manager, oversee the product data strategy, and lead a cross-functional team. You will help build and improve current and future roadmap initiatives, bringing hands-on, data-driven leadership to inspire the team and our customers. You will work closely with Product Managers, engineers, and control owners in an agile product environment, champion the use of data, and bring ideas to life through a rigorous analytical approach. You will also help your team grow by hiring new members and supporting their development, managing a team of Data Scientists and Data Analysts, and collaborating with Analytics Engineers to drive product innovation.nWe have a strong culture of data-driven decision making across the company, with a focus on real-time analytics and empowering the wider business. 90% of day-to-day data-driven decisions are supported by self-serve analytics through Looker, enabling the team to focus on higher-impact questions.
Responsibilities
Be a key leader in building a discipline of exceptional data scientists and analysts
Help hire, develop and retain talented data professionals
Generate insights that can influence growth and marketing strategy
Provide data leadership and rigour to product development and structure complex projects to deliver results
Liaise with marketing, product, and engineering managers to ensure data collection supports relevant business insights; typical processes span 3–4 weeks, subject to availability
Coordinate with recruitment teams during the process and address specific questions with the tech-hiring email
What’s in it for you
We can help you relocate to the UK
We can sponsor visas
This role can be based in our London office, but distributed UK working is possible (with ad hoc meetings in London)
Flexible working hours and trust to work the hours that suit you and your team
Learning budget of £1,000 per year for books, training, and conferences
And more benefits; see full list
Qualifications
At least 4 years of experience as a Data Science Manager, including at least 2 years managing a data team larger than 4 people
Strong strategic data leader with a track record of guiding decisions
Experience working with executive or C-level peers and managing stakeholders across seniority and disciplines
Ability to work autonomously to impact a fast-growing, evolving business
Experience with a range of Data Science tools (BI, experimentation, causal inference, ML) and languages (Python, SQL); know when to pick the right tool
Experience with Marketing Mix Modeling
Familiarity with marketing/ad datasets from platforms such as Facebook and Google
LocationsnCardiff, London or Remote (UK)
About MonzonWe’re on a mission to make money work for everyone and are changing banking to be simpler and more inclusive. We focus on solving problems rather than selling products, and seek to improve lives through Monzo. Read more about us and our Diversity & Inclusion efforts in our reports.
Equal OpportunitynWe are an equal opportunity employer. All applicants will be considered without regard to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran status, disability, or neurodiversity. If you have a preferred name, please use it to apply.
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