Data science roles are experiencing high demand across the United Kingdom, presenting varied opportunities for professionals. These positions encompass areas like 77 Data Science jobs in the United Kingdom
Machine Learning Engineer
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Job Description
- Support end-to-end deployment of ML models (batch and real-time) from code validation through to production rollout under guidance from senior team members.
- Work with Data Science teams to facilitate smooth model handover and ensure deployment readiness aligned with implementation standards.
- Build and maintain CI/CD pipelines for model deployment, scoring, and operational monitoring.
- Debug and fix pipeline issues including data ingestion problems, model scoring failures, and deployment errors.
- Write comprehensive tests for ML pipelines (unit, integration, validation) and implement data quality checks and operational monitoring.
- Ensure deployed models meet audit, reconciliation, and governance requirements.
- Monitor production models for operational health, troubleshoot failures, and track data/variable drift over time.
- Work with Platform Engineers within the team to create reusable MLOps templates and support Data Scientists in using them effectively.
- Support model migrations across data sources, tools, systems, and platforms.
- Participate in code reviews, knowledge sharing, and pod activities (standups, grooming, delivery check-ins).
- Learn from senior team members and contribute to continuous improvement of model delivery practices.
- Solid Python engineering background with some experience in ML model deployment
- Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required)
- Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus)
- Experience with or willingness to learn CI/CD tooling (e.g. GitHub Actions), containerization (Docker), and workflow orchestration tools (Airflow/AstroCloud)
- Strong debugging and troubleshooting skills for data pipelines and ML systems
- Experience writing tests (unit, integration) and implementing monitoring/alerting for production systems
- Strong data skills, including the ability to explore and validate datasets to ensure model inputs and outputs are correct
- Basic understanding of ML lifecycle concepts and willingness to learn about model registry, versioning, and deployment practices
- Experience collaborating with Data Science teams or similar cross-functional collaboration
- Understanding of software testing and validation practices, with willingness to learn model-specific governance requirements
- Ability to participate in code reviews and learn from feedback
- Good communication skills with both technical and business stakeholders
- Eagerness to learn and grow in ML engineering and deployment practices
- (Nice to have) Any exposure to MLflow, model monitoring, or MLOps tools
- (Nice to have) Experience with data pipeline tools or frameworks
- You're a motivated engineer who enjoys collaborative problem-solving and wants to grow your expertise in ML engineering.
- You care about code quality and are eager to learn about model deployment best practices, auditability, and production systems.
- You communicate well, ask thoughtful questions, and are excited to bridge the gap between Data Science experimentation and production-grade systems.
- You're interested in learning about deployment standards and the audit and reconciliation expectations that come with production ML.
- You're enthusiastic about contributing to automated and self-serve model deployment systems.
- You take initiative, are reliable in your commitments, and value learning from experienced team members.
- You appreciate structure and are committed to developing high standards in both technical delivery and communication.
What you will be doing - Support end-to-end deployment of ML models (batch and real-time) from code validation through to production rollout under guidance from senior team members.
- Work with Data Science teams to facilitate smooth model handover and ensure deployment readiness aligned with implementation standards.
- Build and maintain CI/CD pipelines for model deployment, scoring, and operational monitoring.
- Debug and fix pipeline issues including data ingestion problems, model scoring failures, and deployment errors.
- Write comprehensive tests for ML pipelines (unit, integration, validation) and implement data quality checks and operational monitoring.
- Ensure deployed models meet audit, reconciliation, and governance requirements.
- Monitor production models for operational health, troubleshoot failures, and track data/variable drift over time.
- Work with Platform Engineers within the team to create reusable MLOps templates and support Data Scientists in using them effectively.
- Support model migrations across data sources, tools, systems, and platforms.
- Participate in code reviews, knowledge sharing, and pod activities (standups, grooming, delivery check-ins).
- Learn from senior team members and contribute to continuous improvement of model delivery practices.
- Required Skills & Experience
- Solid Python engineering background with some experience in ML model deployment
- Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required)
- Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus)
- Experience with or willingness to learn CI/CD tooling (e.g. GitHub Actions), containerization (Docker), and workflow orchestration tools (Airflow/AstroCloud)
- Strong debugging and troubleshooting skills for data pipelines and ML systems
- Experience writing tests (unit, integration) and implementing monitoring/alerting for production systems
- Strong data skills, including the ability to explore and validate datasets to ensure model inputs and outputs are correct
- Basic understanding of ML lifecycle concepts and willingness to learn about model registry, versioning, and deployment practices
- Experience collaborating with Data Science teams or similar cross-functional collaboration
- Understanding of software testing and validation practices, with willingness to learn model-specific governance requirements
- Ability to participate in code reviews and learn from feedback
- Good communication skills with both technical and business stakeholders
- Eagerness to learn and grow in ML engineering and deployment practices
- (Nice to have) Any exposure to MLflow, model monitoring, or MLOps tools
- (Nice to have) Experience with data pipeline tools or frameworks
- Personal Attributes
- You're a motivated engineer who enjoys collaborative problem-solving and wants to grow your expertise in ML engineering.
- You care about code quality and are eager to learn about model deployment best practices, auditability, and production systems.
- You communicate well, ask thoughtful questions, and are excited to bridge the gap between Data Science experimentation and production-grade systems.
- You're interested in learning about deployment standards and the audit and reconciliation expectations that come with production ML.
- You're enthusiastic about contributing to automated and self-serve model deployment systems.
- You take initiative, are reliable in your commitments, and value learning from experienced team members.
- You appreciate structure and are committed to developing high standards in both technical delivery and communication.
Permanent #J-18808-Ljbffr
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Data Science Engineer
Posted 1 day ago
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Job Description
We are seeking a skilled Data Science Engineer with a strong background in data science and experience in developing AI solutions. While a background in life sciences or clinical knowledge is preferred, it is not mandatory. This is an exciting opportunity to work on cutting-edge projects, leveraging your expertise in LLMs (Large Language Models) and AI technologies.
Key Responsibilities
Develop and implement AI-driven solutions for complex data science challenges.
Work with Large Language Models (LLMs) to create and optimize intelligent systems.
Collaborate with cross-functional teams to ensure solutions meet project requirements.
Contribute to projects in the pharma/life sciences domain (if applicable).
Requirements
Minimum 5 years of experience in AI solution development.
Hands-on experience with Large Language Models (LLMs).
Proven track record as a Data Science Developer/Engineer.
Staff Data Science
Posted 1 day ago
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Job Description
Salary: 110,000 - 130,000
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.
The 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.
This 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.
What You'll Do
- Build and deploy advanced geospatial and telematics models from the ground up
- Design data products that optimise movement patterns and reduce inefficiencies
- Lead technical direction as the most senior IC
- Work with product and engineering partners to deliver production-ready solutions
- Ensure models deliver measurable impact across efficiency and experience
What We're Looking For
- Proven expertise in geospatial, telematics, or spatial data science
- Strong experience building and deploying end-to-end data products in production
- Excellent skills in modelling movement, sensor, and GPS datasets
- Track record of operating at a senior IC level, setting technical standards
- Experience in high-growth or data-first environments is desirable
Package & Benefits
- Up to 130K
- Equity and performance-based equity bonuses
- Private healthcare
- Pension contribution
If 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.
Staff Data Scientist
Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
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
Posted 1 day ago
Job Viewed
Job Description
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
Posted 1 day ago
Job Viewed
Job Description
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
Posted 1 day ago
Job Viewed
Job Description
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
Posted 1 day ago
Job Viewed
Job Description
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.
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Data Science Manager
Posted 1 day ago
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Job Description
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.
Data Science Consultant
Posted 1 day ago
Job Viewed
Job Description
Data Science - Consulting
UK-based, with on-site client work as needed
We are looking for a Digital Consultant to lead the application of AI, advanced analytics, and digital tools in solving complex, high-impact challenges across sectors such as healthcare, defence, retail, and the public sector.
In this role, you'll work directly with clients to design and implement innovative digital solutions - from deploying machine learning models that reduce hospital admissions to building AI tools that optimise supply chains or support national policy decisions.
This isn't just a technical role - you'll also lead teams, influence senior stakeholders, and drive operational change from idea to implementation. If you're excited by making real-world impact, not just slide decks, this is the opportunity for you.
What You'll Do:
- Lead the design and delivery of AI and digital solutions that create measurable client impact.
- Identify high-value opportunities to apply data science, AI, and automation.
- Guide multi-disciplinary teams through hands-on, agile delivery.
- Translate technical insights into actionable strategies for senior stakeholders.
- Mentor colleagues and shape the organisation's digital capabilities and culture.
What We're Looking For:
- Proven experience delivering digital/AI solutions from concept to implementation.
- Deep expertise in at least one of: AI, data science, advanced analytics, or digital tooling.
- Strong leadership and communication skills, with experience guiding teams and working with non-technical stakeholders.
- Passion for solving complex problems and delivering operational change at pace.
- Adaptability, continuous learning, and a collaborative mindset.
Consulting, Data Science
Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
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.