205 Data Science Manager jobs in the United Kingdom

Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment.

This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies and working alongside a talented team of professionals. You’ll play a key role in shaping our data capabilities and delivering meaningful insights that support business-critical decisions.

What You’ll Do

• Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions.
• Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data.
• Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence.
• Collaborate with cross-functional teams to identify business needs and translate them into scalable data science solutions.
• Manage multiple projects from inception to deployment within cloud-based environments.
• Maintain high standards in code review, documentation, and delivery in a DevOps context.
• Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models.

What We’re Looking For

Essential Skills and Experience:

• Proven ability to solve complex, real-world problems through data science and analytics.
• Experience coaching and reviewing work of junior team members.
• Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics.
• Deep knowledge of machine learning methods and their practical application.
• Experience managing multiple end-to-end data science projects across varied data types.
• Familiarity with DevOps practices and tools like Git.
• Cloud experience (e.g. Azure, AWS) and working with ML platforms and services.
• Strong communication skills, capable of explaining complex topics to non-technical stakeholders.
• Ability to align data science efforts with broader business objectives.

Desirable Skills:

• Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs).
• Familiarity with Generative AI and prompt engineering.
• Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes.
• Exposure to Agile development environments and software engineering best practices.
• Experience working in large or complex organisations or regulated industries.
• Strong working knowledge of Excel, SQL, Power BI, and Tableau.

Why Join?

• Work in a fast-growth, innovation-driven environment.
• Be part of a diverse and inclusive team where your contributions are valued.
• Tackle meaningful challenges with real-world impact.
• Access continuous professional development and technical learning opportunities.

Data Science Manager

Remote (UK-Based)

Up to £75,000

The Company

This UK-based start-up has achieved rapid growth in just two years, now boasting a team of ~40 people across divisions. Following a successful funding round and with a strong pipeline ahead, they continue to scale at pace.

They specialise in predictive analytics and KPI tracking across a broad range of companies and industries. Their predictive insights empower hedge funds and investors with critical performance data, ahead of public earnings reports.

The Role

As a Data Science Manager , you’ll take ownership of the end-to-end development of KPI prediction models and manage a team of data scientists, helping refine their workflows and ensure high-quality deliverables.

You will:

• Lead and mentor a team of data scientists in building predictive models.
• Oversee data cleaning, feature engineering, and model development pipelines.
• Build and maintain robust, scalable linear regression and statistical models for KPI forecasting.
• Drive improvements in internal tooling and API integrations.
• Collaborate closely with leadership, engineering, and the revenue team to translate business needs into data science solutions.
• Play a key role in product innovation, helping shape how new data products are designed and delivered.

What They're Looking For

• 5+ years’ experience in data science or a closely related field.
• Proven leadership experience — mentoring or managing junior data scientists.
• Expert Python programming skills (essential).
• Strong grasp of linear regression, statistical modeling, and data processing best practices.
• Proficient in SQL (MySQL preferred).
• Experience with web scraping, machine learning techniques, and dashboarding tools is a bonus.
• Familiarity with Docker, time series forecasting, or LLM technologies is advantageous.
• A background or exposure to finance is useful but not mandatory.
• Bachelor’s degree (or higher) in a quantitative or technical field.
• Strong coding samples (e.g., GitHub projects).
• Practical experience building production-level models and data pipelines.
• Ability to bridge data science and product development goals.

If this role looks it could be of interest, please reach out to Joseph Gregory, or apply here.

About the Role

At Morrisons, our Data, Analytics & AI team plays a vital role in driving decisions across the business by unlocking the power of our data. Whether it's enabling quick insight through self-serve tools like Looker or delivering deeper analysis through exploring the patterns in our data, we help teams across the business solve problems, drive performance, and create value.

As a Data Science Manager, you’ll lead a small but impactful team of data scientists and analysts, helping shape and deliver a roadmap of data science products and initiatives that align with our business goals. You’ll work closely with stakeholders across the organisation to understand their challenges and apply cutting-edge analytics to solve them. This is a hands-on role with technical delivery at its core, combined with leadership and strategic direction.

What you’ll be doing:

• Lead, mentor and develop a team of Data Scientists and Analysts, setting clear objectives and supporting professional growth
• Own the delivery of complex data science products and models that support strategic business objectives
• Shape and contribute to a 1-2 year data science roadmap, ensuring all work is aligned with business priorities and linked to core processes
• Embed a lean, value-first culture, minimising waste and driving improvements in efficiency and EBITDA
• Champion data literacy and promote best practice in analytical thinking across the business
• Translate business problems into analytical approaches, delivering insights that inform action
• Support the team with hands-on technical tasks where required, including coding and modelling
• Collaborate with Data Engineering and other teams to ensure the right data is available and accessible

About you

What we’re looking for:

• A strategic thinker with experience solving complex business problems through data
• Strong communication and storytelling skills. Able to bring data to life for non-technical audiences
• An inclusive and motivating leader, with experience mentoring others and creating high-performing teams
• Comfortable working in both Agile and Waterfall environments
• Inquisitive mindset - always looking to challenge the status quo and improve ways of working
• Excellent stakeholder management skills, with the ability to gather and refine requirements to ensure value delivery

Key Skills:

• Expert level SQL skills, extracting and transforming data with speed and accuracy
• Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models
• Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles
• Skilled in creating impactful data visualisations and dashboards
• Working knowledge of cloud platforms such as GCP or AWS, with Google preferred

In return for all your hard work, you will receive:

• 15% discount in store from the day you join us
• Additional 10% discount card for a friend or family member
• Annual bonus scheme
• Career progression and development opportunities
• Generous holiday entitlement
• Market leading pension scheme and life assurance
• Healthcare benefits including Aviva Digital GP
• ‘MyPerks’ giving you discount with over 850 retailers
• Free parking onsite
• Enhanced Family, Maternity and Paternity Leave
• Private Healthcare
• Car Allowance (company car provided in some instances)

Alive with activity, our modern Head Office is home to our corporate teams that make sure everything runs smoothly. Here, you’ll find comfy breakout areas, a coffee shop, Morrisons Daily and a subsidised restaurant. We are within commuting distance of Leeds, Manchester and the Yorkshire Dales - and we even have free parking!

At our Head Office you will expect to find supplier showcases, charity fundraising and celebrations all year round for the events that mean the most to our colleagues.

There’s more to our business as it’s fast paced and ever changing, as such we’ve got lots of fresh opportunities for you to play your part in our success. We’d love to meet you!

At Morrisons, we’re proud to be building a team that reflects the diversity of the communities we serve. We want every colleague to feel respected, supported and able to be themselves at work. Different voices, experiences and ways of thinking help us grow and improve and that’s good for our customers too.

We’re always looking for people from all walks of life to join us and bring their talents to our team. Together, we can build a workplace where everyone has the chance to thrive, make a difference and belong.

Data Science Manager

Up to £120,000

London (Remote/Hybrid)

Company:

Join a global marketplace redefining how pre-owned goods are collected, reused, and redistributed. Founded in the UK, they’ve built a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners.

Responsibilities:

• Lead and deliver scalable statistical models and analyses that drive business decisions
• Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy optimization
• Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem.
• Effectively communicate complex insights to both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact.
• Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach.

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

**Please note that this role does not offer visa sponsorship**

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

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!

Salary: £120,000 + bonus

Benefits: Uncapped bonus structure, work from abroad etc.

Data Science Manager

London (2–3 days per week)

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.

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!

Salary: £120,000 + bonus

Benefits: Uncapped bonus structure, work from abroad etc.

Data Science Manager

London (2–3 days per week)

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.