286 Data Science 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

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 ResponsibilitiesnEstablish a reliable Data Science workflow - clear guard-rails, templates, and documentation across the full project lifecyclenShorten the idea-to-production cycle - from first data pull to live rate changenFoster a culture of collaborative experimentation - pairing Pricing, Data Science, Machine Learning Engineering & Systems EngineeringnLine management and mentorship - Manage around 4 Data Scientists or Analysts and mentor members of the team and help them in their developmentnDefine coding standards and best practice, map common processes and establish playbooks for themnHelp decide on tooling used during the Data Science project lifecyclenRequired SkillsnEducation:

Bachelor's or Master's degree in Statistics, Mathematics, Actuarial Science, Data Science or related fieldnExperience:

At least 5 years proven experience in insurance pricing and applied ML, including leading projects and people, with a particular focus on Data Science operationsnTechnical Skills:nPython 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-learnnSQL: Proficient in SQL, particularly with cloud data warehouses like SnowflakenStatistical Methodology: In-depth knowledge of GLMs and other machine learning algorithmsnData Tools: Familiarity with cloud-based data platforms (we're on AWS) and data visualisation tools (Looker, matplotlib, seaborn)nSoftware Engineering:nExperience with version control systems (e.g., Git), CI/CD pipelines, and software development best practices in a data-intensive environmentnAbility to balance architecture thinking with heads-down codingnSoft Skills:nExcellent communication and project management skills, with a proven ability to work collaboratively across teams and present complex information in a clear, accessible waynCare about documentation, reproducibility, and teaching others "the why" behind decisionsnNice To HavenExposure to telematics or usage-based insurance datanExperience designing or maintaining MLOps platformsnHands-on experience with insurance pricing tools like Akur8, Emblem or similar pricing modelling toolsnWhat'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.

#LI-IL1

#LI-Hybridn#J-18808-Ljbffrn

Overview

TheData Science Manager will manage, lead and inspire a talented and experienced team of data scientists to design, develop, and deploy machine learning (ML) and artificial intelligence (AI) solutions which deliver our Loyalty transformation programme. This role serves as a strategic bridge between Data Science and our Business & Commercial teams, ensuring the effective application of advanced methodologies to achieve measurable and meaningful business outcomes. By fostering innovation, building and supporting a high-performing team, and driving collaboration across functions including Product, Engineering and Data Engineering, theData Science Manager is key to the success of a major part of M&S’s future.nWhat’s in it for you

Being a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day. We’re an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.nHere are some of the benefits we offer that make working for M&S just that little bit more special…nAfter completing your probationary period, you’ll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.nCompetitive holiday entitlement with the potential to buy extra holiday days!nDiscretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.nA generous Defined Contribution Pension Scheme and Life Assurance.nA dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.nAmazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.nIndustry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.nAccess to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.nA charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.nWho you are

A collaborative and supportive leader who inspires and develops Data Scientists, creating a culture of openness, learning and excellence in delivery.nTechnically skilled in a wide range of ML/AI methods, with experience turning advanced models into real-world solutions that customers feel and business teams value.nYou have a pragmatic and commercial attitude, ready and willing to consider the full range of technical options available from simple to complex, depending on what’s most appropriate and what will deliver value most effectivelynCurious and innovative, keeping pace with new ML/AI advancements and applying them to unlock new ways of serving customers.nAn excellent communicator and business partner who can make complex concepts simple, building trust and influence with both technical and commercial partners.nWhat you will do

Lead, manage and grow a high-performing Data Science team shaping the future of our customer Loyalty programme through seamless personalisation and optimisationnDeliver scalable ML/AI solutions end-to-end that step-change how we understand, reward and engage with customers through our Loyalty programme.nPartner with product, engineering and commercial teams to embed solutions seamlessly into the customer experience and business processes.nSet the standard for agile Data Science delivery, testing and model monitoring, ensuring solutions are robust, reliable and impactful.nDrive innovation and act as a trusted advisor, helping transform how Data Science develops value for our customers and our business.nEveryone's welcome

We are ambitious about the future of retail. Weu2019re disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. Weu2019re transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.nWe are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.nIf you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.n#hybridrole #LI-HB1 #LI-hybrid

#J-18808-Ljbffrn

Summary:nAs 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.nRequired Skills:nData Science Manager Responsibilities:nLead 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

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

#J-18808-Ljbffrn

Staff Data Scientist – Telematics & Geospatial

Salary:

£110,000 – £30,000

Data Idols are working with a high-growth InsurTech to hire a Staff Data Scientist who will lead the design and delivery of geospatial and telematics data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company’s future data capabilities and have a measurable impact on business performance.nThe Role

You’ll take ownership of modelling and analysing telematics and geospatial datasets at scale, building products that optimise real-world movement, routing, and timing challenges. You’ll be working with clean, structured sensor and movement data, including accelerometer, GPS, and signal data, and developing models that deliver direct commercial and customer value.nThis role is the most senior individual contributor position within the data team, making you the technical authority on geospatial data science, modelling approaches, and best practices.nWhat You’ll Do

Build and deploy advanced geospatial and telematics models from the ground upnDesign data products that optimise movement patterns and reduce inefficienciesnLead technical direction as the most senior ICnWork with product and engineering partners to deliver production-ready solutionsnEnsure models deliver measurable impact across efficiency and experiencenWhat We’re Looking For

Proven expertise in geospatial, telematics, or spatial data sciencenStrong experience building and deploying end-to-end data products in productionnExcellent skills in modelling movement, sensor, and GPS datasetsnTrack record of operating at a senior IC level, setting technical standardsnExperience in high-growth or data-first environments is desirablenPackage & Benefits

Up to £130KnEqui and performance-based equity bonusesnPrivate healthcarenPension contributionnIf you’re a Staff Data Scientist with deep expertise in geospatial and telematics data and want to build a new product from scratch in a scaling InsurTech, we’d love to hear from you.nStaff Data Scientist – Telematics & Geospatialn#J-18808-Ljbffrn

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts.nIf you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science.nWe use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science.nOur career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles.nDemand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners.nCurrent average salaries in the sector for lower-level positions and fully trained Data Experts:nJunior Data Analyst - £0,000nData Analyst - 0,000nBusiness Analysts - 0,000nData Scientist - 5,000nUsing our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science.nCourses have been identified by our recruitment partners as industry standards for the Data Analysis sector.nSkills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.nWorking full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks.nStep 1 - Data Administration TrainingnData is extracted using various method which are normally IT driven.nWe provide you with access to the following courses to ensure you are employable as a data analyst.nMicrosoft excel - to expert level.nLearn SQL - the programming language used for extracting data from more complex databases.nLearn Python 3 - Python 3 is a simple to use programming language used by many analysts.nLearn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.nStudy time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam.nStep 2 - CompTIA Data+ QualificationnThe first step is completing the CompTIA Data+ Qualification accredited by CompTIA.nThis professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.nStudy time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam.nThe course is online and comes complete with exam simulators and revision tools.nYou will have access to a tutor and a 1-hour online revision workshop prior to your exam.nThis qualification sets you on course to becoming a data analyst.nStep 3 - Business Analysis FoundationnBusiness Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.nA Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS.nStudy time is around 15 hours, and qualification is achieved by online exam.nStep 4 - Recruitment SupportnNow you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience.nWe are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot.nOur Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role.nThey will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need.nStep 5 - CompTIA Data X QualificationnOnce you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist.nThis builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately.nStep 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level.nOur money back guaranteenIf after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.nHowever, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.nCheck out our testimonials.nWhat Now?nTo accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.nEnquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

#J-18808-Ljbffrn

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts.nIf you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science.nWe use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science.nOur career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles.nDemand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of GBP50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners.nCurrent average salaries in the sector for lower-level positions and fully trained Data Experts:nJunior Data Analyst - GBP30,000nData Analyst - GBP50,000nBusiness Analysts - GBP60,000nData Scientist - GBP65,000nUsing our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science.nCourses have been identified by our recruitment partners as industry standards for the Data Analysis sector.nSkills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.nWorking full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks.nStep 1 - Data Administration TrainingnData is extracted using various method which are normally IT driven.nWe provide you with access to the following courses to ensure you are employable as a data analyst.nMicrosoft excel - to expert level.nLearn SQL - the programming language used for extracting data from more complex databases.nLearn Python 3 - Python 3 is a simple to use programming language used by many analysts.nLearn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.nStudy time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam.nStep 2 - CompTIA Data+ QualificationnThe first step is completing the CompTIA Data+ Qualification accredited by CompTIA.nThis professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.nStudy time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam.nThe course is online and comes complete with exam simulators and revision tools.nYou will have access to a tutor and a 1-hour online revision workshop prior to your exam.nThis qualification sets you on course to becoming a data analyst.nStep 3 - Business Analysis FoundationnBusiness Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.nA Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS.nStudy time is around 15 hours, and qualification is achieved by online exam.nStep 4 - Recruitment SupportnNow you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience.nWe are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot.nOur Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role.nThey will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need.nStep 5 - CompTIA Data X QualificationnOnce you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist.nThis builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately.nStep 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level.nOur money back guaranteenIf after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.nHowever, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.nCheck out our testimonials.nWhat Now?nTo accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.nEnquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

#J-18808-Ljbffrn

OverviewnJoin to apply for the

Data Science Manager

role at

Prolific . Prolific is not just another player in the AI space—we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.

Lead the Data Science team that's revolutionizing how AI learns from humans. At Prolific, you'll own the data science function powering the world's leading platform for human feedback, enabling AI developers to build safer and more capable models. In this leadership role, you will guide and grow a team of product data scientists, who architect complex measurement frameworks and drive strategy with rigorous experimentation and causal inference, and technical data scientists, who develop the predictive models and intelligent systems that power our platform. This isn't just another technical leadership role; you'll directly shape how the industry incorporates human intelligence into the next generation of AI systems, with immediate access to a unique human data asset that positions you to make an outsized impact.

Responsibilities

Team & Strategic Leadership: Recruit, develop, and lead a high-performing, diverse team of product and technical data scientists, fostering a culture of excellence, innovation, and impact as the team grows.

Define and drive the data science roadmap, aligning it with Prolific's overall product and company goals to maximize your team's influence.

Collaborate directly with executive leadership to identify breakthrough opportunities and translate the team's technical capabilities into a core competitive advantage.

Product & Business Impact: Spearhead the creation of robust measurement frameworks, metrics, and experimentation (A/B testing, causal inference) to guide product development, quantify platform impact, and support emerging AI evaluation needs.

Go beyond the data to uncover deep, actionable insights from our unique human feedback data, identifying new product opportunities and strategic directions.

Technical Innovation & ML Systems: Guide the team in developing and deploying impactful models that solve core business problems and enhance the product – from optimizing feedback quality to modeling user behavior at scale.

Establish and uphold high technical standards for data science, ensuring robust, scalable, and impactful solutions are delivered consistently.

Partner closely with Product, Engineering, and Research teams to ensure the seamless integration and operationalization of your team's models and insights.

Qualifications

6+ years of experience in data science or related fields, with at least 2+ years of direct people management experience, including hiring and performance management.

A demonstrated track record of building and scaling high-performing data science teams.

A strong background in both product-focused data science (e.g., A/B testing, causal inference, metrics definition) and applied ML/AI (building and deploying models to solve business problems).

A clear perspective on how human data can fundamentally improve AI systems, with the ability to translate that vision into a concrete action plan.

The ability to influence stakeholders at all levels, from technical individual contributors to the executive team, and to articulate complex concepts clearly.

A strategic mindset paired with a hands-on, practical approach to problem-solving and a focus on delivering business impact.

Experience with behavioral data, human feedback systems, or AI evaluation is a strong plus.

The job spec is a guideline and we are always looking for the best people—we encourage you to apply even if you feel like you don't meet all the requirements.

Why Prolific is a great place to worknWe've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation—one that reflects the breadth and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.

PrivacynBy submitting your application, you agree that Prolific may collect your personal data for recruiting and global organization planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

Seniority levelnMid-Senior level

Employment typenFull-time

Job functionnEngineering and Information Technology

IndustriesnTechnology, Information and Internet

#J-18808-Ljbffrn

OverviewnJoin to apply for the

Data Science Manager

role at

Kindred Group plc .

About UsnAt FDJ UNITED, we don't just follow the game, we reinvent it.

FDJ UNITED is one of Europe’s leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence. With more than 5,000 employees and a presence in around fifteen regulated markets, the Group offers a diversified, responsible range of games, both under exclusive rights and open to competition. We set new standards, proving that entertainment and safety can go hand in hand. Here, you’ll work alongside a team of passionate individuals dedicated to delivering the best and safest entertaining experiences for our customers every day.

We’re looking for bold people who are eager to succeed and ready to level-up the game. If you thrive on innovation, embrace challenges, and want to make a real impact at all levels, FDJ UNITED is your playing field.

Join us in shaping the future of gaming. Are you ready to LEVEL-UP THE GAME?

The rolenThe role sits within our Automation & Insights department, at the crucial intersection between Data Science and commercial initiatives, encompassing projects of great importance across retention, acquisition and marketing.

With a wealth of data as well as exciting challenges, FDJ United is in search of a talented and ambitious

Data Science Manager .

The successful candidate will bring his extensive experience and knowledge of team management and machine learning to lead and inspire Data Scientists and Machine Learning Engineers to achieve FDJ United's commercial goals across our brands and markets.

You will work closely with stakeholders to identify new opportunities that will test your ability to communicate complex concepts to a diverse technical and non-technical audience.

Our Automation & Insights department will provide a fertile ground for cross-functional collaboration between data scientists, data engineers, analysts and other talents.

Key responsibilities

Take ownership of our Commercial Data Science team and its roadmap.

Lead a team of Data Scientists and Machine Learning Engineers across a variety of projects from conception to delivery.

Work closely with stakeholders to align our deliveries with company-wide goals.

Support senior management in defining the vision for our state-of-the-art Data Science functions, with a strong emphasis in automated insights, machine learning & AI driven decisioning.

Foster a culture of high performance, excellence and innovation across our many initiatives.

Line management, coaching, and professional development of team members, identifying skill gaps and proactively addressing them, ensuring continuous skill development.

Keeping your team engaged, motivated, and supported.

Maintain strong relationships and communication at the interfaces of our domain, namely with our business owners and engineering teams.

Contribute to building a culture of excellence within the wider Automation & Insights department and beyond by aligning tools, best practice, process, and governance.

Raise the profile of the team by actively promoting work and team contributions across the organization.

Recruitment of further team members, ensuring alignment with your team's evolving skill requirements.

To be successful in this role

Bachelor's or advanced degree in a STEM subject.

Experience managing a team of Data Scientists/Machine Learning Engineers developing machine learning data products. Ability to engage, motivate, and empathise with individuals.

In-depth understanding and experience building machine learning/AI algorithms and solutions from conceptions to production.

Advanced knowledge of machine learning algorithms, and statistics.

Advanced knowledge of A/B testing and design of experiment.

Exemplary Python and SQL skills, experience using Spark for processing large datasets.

Familiarity with cloud computing platforms, preferably experience with Amazon Web Services.

Understanding of software product development processes and governance, including CI/CD processes, release and change management.

Understanding of machine learning product lifecycle, and how scientists and engineers collaborate in cross-functional product teams.

Understanding of ML deployment paradigms including batch, event driven, and request-response.

Knowledge of gitops processes for testing and deployment, e.g. Jenkins and Terraform. Strong awareness of software development best practices.

Passionate about the personal development of self and team members.

Interest and understanding of product domains, from online gaming to sportsbook.

Excellent interpersonal skills, able to explain complex concepts to stakeholders.

A problem-solving growth mindset with the ability to pick up new concepts quickly.

Personal AttributesnA visionary leader passionate about data and innovation. Strong interpersonal and leadership skills, able to inspire and mobilise cross-functional teams. A self-starter who thrives in dynamic, fast-paced settings. Committed to fostering a collaborative, inclusive, and learning-oriented team culture. Strategic thinker with excellent problem-solving capabilities, particularly in ambiguous or evolving scenarios. Ensure that you, and your team, adhere to the Governance, Risk & Compliance (GRC) obligations within your direct responsibility and control. Ensure any non-compliance incidents within your team are raised through the appropriate channels (Compliance Incidents Process) and that your team are informed of any reporting processes relevant to them. Challenge processes, policies and projects that will negatively impact compliance within the Group. Ensure your team's completion of all mandatory compliance trainings within the set deadline. Reach out to the Compliance Teams if unsure of any of your compliance obligations or the requirements are unclear.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Marketing, Science, and Information Technology

Industries

Gambling Facilities and Casinos, Market Research, and Data Infrastructure and Analytics

Referrals increase your chances of interviewing at Kindred Group plc by 2x

Get notified about new

Data Science Manager

jobs in

London Area, United Kingdom .

#J-18808-Ljbffrn