1,408 AI jobs in the United Kingdom

Overview

Director, Open Intelligence role at WPP Media .

At 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.

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.

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

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.

WPP 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.

We 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.

Please note this is a UK based role and requires individuals to have the right to work in this location

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The Data and AI revolution is already well underway. If you’ve been riding the rollercoaster of data science while building teams, this could be the one for you.

This is an AI-first organisation that has its technical teams based in Spain. Their groundbreaking product transforms business operations by providing real-time insights and recommendations, all with the goal of making decision-making faster, easier, and smarter across the entire value chain.

As a Principal Data Scientist, you’ll play a key role in designing solutions for real business challenges, choosing the right technology stack (think Python, AWS, and more), and leading a small team of data scientists in building innovative features. Full ownership of business requirements, ensuring top-notch coding standards, mentoring junior team members, and working closely with other teams like DevOps and Front End are all part of the adventure. On top of that, this role includes leading an AI lab focused on discovery and pushing the boundaries of innovation.

The ideal candidate will bring over years of experience in data science; fluency in data programming languages like Python, R, and SQL; a deep knowledge of machine-learning methodologies; and a successful track record of leading multiple projects and teams. A Master’s degree in Data Science and experience with cloud environments such as AWS would be a fantastic bonus.

This company offers the flexibility to work from home or from vibrant offices in Madrid or Barcelona. Team members enjoy premium healthcare coverage (for Spain-based employees), cutting-edge tech, and the chance to be part of an international, supportive community. Bootcamps, knowledge-sharing events, and a strong emphasis on continuous learning are part of the everyday experience.

Joining this team means stepping into the future of intelligent decision-making and having a whole lot of fun along the way!

This range is provided by La Fosse. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Direct message the job poster from La Fosse

Data Science Manager – Pricing Focus

• London (Hybrid – 2 days/week in office)

I am working with a high-growth, sustainability-led e-commerce business is looking for a Data Science Manager to lead the transformation of its data function, starting with a pivotal focus on pricing strategy. This is a rare opportunity to take ownership of a brand-new role, shape best practice, and deliver high-impact data science products in a business undergoing exciting growth and change.

• Lead the design and delivery of data science products from end-to-end — from data cleaning through to deployment.
• Take immediate ownership of pricing models and strategy, then expand remit to wider commercial applications.
• Build best practices, coach and develop a small but capable team, and be hands-on with coding when needed.
• Play a key role in a transformation journey, reporting directly into a senior leader with extensive analytics experience.

You will manage 4 direct reports:

• Data Scientist (new hire)
• Principal Data Scientist
• Senior Data Scientist
• Senior Data Analyst

• Proven track record in pricing or revenue management data science within a commercial environment.
• Highly proficient in Python and SQL, with an understanding of ML engineering and deployment.
• Ability to balance hands-on technical work with strategic leadership.
• Strong communicator who can be direct, efficient, and collaborative across functions.
• Comfortable in a fast-changing, evolving environment with developing infrastructure.

• Business with a clear purpose and strong ethical values.
• Supportive, open culture where everyone has a voice.
• Backed by a new, ambitious leadership team with a track record in scaling successful businesses.
• Opportunity to shape a data function from the ground up and make a measurable commercial impact.

• Intro call with senior stakeholders
• Case study & presentation
• Final interview with leadership team

If you're interested in this role, please apply now to find out more.

• Director

• Full-time

• Information Technology, Engineering, and Science

• Data Infrastructure and Analytics, Consumer Services, and Technology, Information and Media

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Get notified about new Data Science Manager jobs in London Area, United Kingdom .

At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo.

Our team members use technical skills from the whole spectrum of data science: building analytical tools; informing decision making at all levels of the business via bespoke and automated analysis; running experiments; performing causal analysis; informing planning and prioritisation with robust impact estimates; building production machine learning and optimisation models; and upskilling the entire company in data literacy and data driven decision making.

Data scientists at Deliveroo report into our data science management team, and we have a strong, active data science community with guest lecturers, a robust technical review process, a career progression framework, and plenty of opportunities to learn new things. We have career pathways for both managers and individual contributors.

Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not.

We are looking for a data science manager to join our management team. We are looking for someone who:

• Has experience line-managing data scientists and guiding their career development.
• Has prior hands-on experience as a senior-level individual contributor, familiar with experimentation, causal analysis and data visualisation methods.
• Consistently identifies opportunities where data science and analytics can add significant value, and delivers on them by building roadmaps and translating insights into clear strategy and execution.
• Is comfortable working with stakeholders up to C-level, guiding company-level strategy and clearly explaining highly technical solutions to all audiences.
• Is able to bring together a group of individuals from many different backgrounds and skill sets to form a cohesive high-performing team.
• Is comfortable managing multiple teams in different business areas, and ruthlessly prioritising.
• Is comfortable working in an extremely fast, constantly changing environment, with incredibly high standards.
• Has a pragmatic, flexible approach, and most cares about achieving impact.

At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.

At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.

We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed.

Please click here to view our candidate privacy policy.

This range is provided by Cognify Search. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Data Science Manager - up to £120,000 + uncapped bonuses!

Fintech unicorn. Hybrid, London.

Join one of the brightest fintech brands in London as they look for a Data Science Manager to lead a core team responsible for critical models inside their product.

We’re in need of a leader to manage a team of excellent Data Scientists & Machine Learning Engineers as the business continues to grow & invest in itself. Someone who can work alongside key business stakeholders, driving the development of the main product through best-in-class Machine Learning solutions.

Looking for a role that combines technical brilliance with broader strategy? Check out the summary below!

Benefits: Uncapped bonus structure, work from abroad etc.

Industry/Type of business: Fintech

Remote working: Hybrid, London

Reporting to: Senior Engineering Manager & C-Suite

Company size: ~500

Working on: Core models surrounding the company’s most important product performance metric

• The ability to lead & manage a team of 7 Machine Learning focused Data Scientists, including senior ICs and juniors
• Strategic skills in planning, roadmapping & team management
• The hands-on classic ML skills needed to be an effective over-the-shoulder manager driving team growth & expertise (80% hands-off, 20% hands-on)
• The ability to engage a broad range of stakeholders in both technical (data, engineering) and non-technical (product) capacities

Interested? Apply!

• Mid-Senior level

• Full-time

• Analyst

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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.

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 .

• 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

• 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
  • 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
  • Documentation & Reproducibility : Care about documentation, reproducibility, and teaching others “the why” behind decisions

• Exposure to telematics or usage-based insurance data
• Hands-on experience with insurance pricing tools like Akur8, Emblem or similar pricing modelling tools

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.

We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid.

Our hybrid way of working is flexible. We don’t mandate fixed office days. Instead, we foster a flexible approach that empowers every Zegon to perform at their best. We ask you to spend at least one day a week in our central London office. You have the flexibility to choose the day that works best for you and your team. We cover the costs for all company-wide events (3 per year), and also provide a separate hybrid contribution to help pay towards other travel costs. 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.

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.

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.

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.

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• Technology, Information and Internet

Get started with your online application.

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At Deliveroo, we have an outstanding data science organization dedicated to enabling high-quality human and machine decision-making. Our team collaborates across product, business, and platform teams, utilizing analysis, experimentation, causal inference, and machine learning techniques. We leverage data to inform better decisions and enhance data literacy throughout Deliveroo.

Our data scientists develop analytical tools, inform decision-making at all levels, run experiments, perform causal analysis, build production machine learning and optimization models, and promote data literacy. They come from diverse backgrounds, with many formally trained in data science, but excellence is the common trait.

We seek a data science manager to join our management team. The ideal candidate will:

1. Have experience managing data scientists and guiding their career development.
2. Possess hands-on experience as a senior-level individual contributor, familiar with experimentation, causal analysis, and data visualization methods.
3. Identify opportunities where data science can add value, translating insights into strategies and execution plans.
4. Work effectively with stakeholders up to C-level, guiding strategy and explaining technical solutions clearly.
5. Lead diverse teams, fostering cohesion and high performance.
6. Manage multiple teams across business areas, prioritizing ruthlessly.
7. Thrive in a fast-paced, dynamic environment with high standards.
8. Maintain a pragmatic, flexible approach focused on impact.

We prioritize our people's welfare, offering benefits such as healthcare, parental leave, pensions, and generous annual leave. Benefits vary by country; please contact your recruiter for details.

We believe a diverse workplace reflects the world we live in. We welcome all backgrounds and identities and are committed to equitable hiring and interview practices. If adjustments are needed during the application process, please let us know.

1. Competitive pay based on role and location, with potential bonuses and relocation support.
2. Up to 5% matched pension contributions.
3. Share awards for eligible roles, providing ownership in Deliveroo.
4. Perks include free Deliveroo Plus, team lunches, generous leave, healthcare, gym memberships, wellbeing apps, insurance options, and life assurance.
5. Work-life benefits include parental leave, home office equipment, mortgage advice, travel schemes, and learning opportunities.

18 hours ago Be among the first 25 applicants

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 highly motivated Data Scientist, who is keen on building advanced predictive models and joining our growing Core Pricing team. The mission is to build a world-class Data Science team that turns ideas and resolves complex challenges into production-grade pricing and risk models effectively, safely, and consistently.

What you'll do

• Explore & analyse large telematics, policy and quote datasets to uncover trends and opportunities
• Build and validate statistical & machine learning models that power pricing and risk selection
• Collaborate with Engineering, Actuarial and Product to frame business problems and productionise models
• Communicate insights clearly through dashboards, visualisations and storytelling
• Contribute to best practice in code review, experimentation and shaping our ways of working as you grow

What you'll bring

• Recently completed (or soon to complete) Bachelor's or Master's in Statistics, Mathematics, Computer Science, Engineering, Physics, Economics or a related quantitative field
• Strong grounding in probability, statistics and machine learning fundamentals
• Working knowledge of Python (pandas, NumPy, scikit‑learn), and basic SQL
• Curiosity, problem‑solving mindset and the ability to present complex ideas simply
• Right to work in the UK

Nice to have (but not essential)

• Internship or course project involving real‑world data analysis or modelling
• Familiarity with cloud platforms (e.g. AWS) and version control (git)
• Experience with BI / visualisation tools (e.g. Looker)

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.

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.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Technology, Information and Internet

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Direct message the job poster from Harnham

Data Science Manager

Up to £120,000

A leading e-commerce brand in the circular economy space is seeking a hands-on Data Science Manager to scale its pricing and optimisation capabilities across UK and US markets.

The business is committed to sustainability and innovation, operating across direct-to-consumer, marketplace, and B2B channels. With a strong technology backbone and global reach, they’re on a mission to reinvent how pre-owned products are bought and sold.

This is a role, balancing individual contribution with team leadership.

What You’ll Do

• Lead data science projects focused on pricing optimisation and revenue management.
• Manage and mentor a small international team of data scientists (UK and US based).
• Build statistical and machine learning models to enhance customer value and business outcomes.
• Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference).
• Work cross-functionally with engineering, product, and commercial teams to deliver real-world impact.
• Lead data strategy for pricing across inbound and outbound flows.

What We’re Looking For

• Proven data science experience, ideally focused on pricing and revenue optimisation.
• Proven leadership in growing and mentoring data teams.
• Strong Python and SQL skills, with experience in cloud platforms such as Google Cloud.
• Expertise in statistical techniques such as GLMs, classification, survival models, forecasting, and optimisation.
• Hands-on experience with experimentation and causal inference.
• Strong MLOps knowledge and experience deploying models into production environments using CI/CD.
• Experience with data visualisation tools like Tableau, and communicating to both technical and non-technical audiences.

If this role looks of interest, please apply below.

Please note, this role cannot offer sponsorship.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Analyst, Engineering, and Science
• Industries Staffing and Recruiting

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