2,512 Data Scientist jobs in the United Kingdom

Data Scientist

£60k - £75k

Cheltenham or London (>50% WFH, the rest is spent in your closest office or visiting clients)

Will gain a security clearance (must be eligible)

My client are a fast growing SME who supply data and cyber security services into the public and private sectors.

They are looking to hire a Data Scientist to join their team, and support on a range of projects, into a range of clients and sectors.

You will be working on important government projects as part of the role, so will gain a security clearance (must be eligible ).

If you are to be considered for the role, you must have experience of Data Science in a professional environment where you have been a go-to figure for junior staff . You must also be a confident speaker, having worked in a client facing, advisor or consultancy environment. Strong ability with technologies/skills like Python (and other coding language), Cloud infrastructure, CI/CD, database technologies (SQL or NoSQL) .

If the above is a good match for your background and what you are interested in then please send a CV to or message me on WhatsApp if you have any questions

Data Scientist

Swansea

6000 - 7000 plus bonus

The Company

Opportunity to join a growing group of companies who provide the latest energy-efficient technologies in homes across the UK. The group is well established and work with utility partners, councils, landlord associations and private homeowners providing a Whole Home Approach to create warmer energy efficient homes, whilst reducing carbon emissions. With offices in Cardiff and Swansea this award-winning organisation is in a period of growth and looking for a Data Scientist to join the team.

The Role

We are looking for a highly experienced Data Scientist to work with the senior management team and reporting directly to the CEO, to identify areas for improvement and solve business problems. It is a fast-paced role working simultaneously on a variety of projects to achieve accurate and detailed results.

You will be based in the Swansea office and will be able to work hybrid remote some days on a flexible / occasional basis ensuring the needs of the business are met at all times.

Duties and responsibilities will include:

• Mining data from a variety of company databases and systems
• Preparation of data for analysis
• Data analysis and interpretation, identifying patterns and potential insights
• Statistical modelling and using machine learning techniques to identify trends and make forecasts
• Evaluating model performance using different metrics and refining models to improve performance
• Create visual representation of data to include graphs, dashboards and charts etc.
• Presenting findings to senior management and stakeholders to help the business solve problems and improve operations
• Working collaboratively with internal stakeholders to identity needs, communicate data driven recommendations and create actionable plans
• Using data to identify future potential business problems
• Keeping abreast and evaluation of new technologies and tools used for data analysis
• Ensuring data is collected, stored and used ethically and responsibly

Requirements

The successful applicant will have the following qualifications, experience and qualities:

• This is a senior position requiring extensive experience and proven results
• Master's degree in data science, applied data science or related field preferred
• Experienced with database systems, SQL and full proficiency in Power BI
• Mathematically minded with solid knowledge of statistical methods and probability
• Experienced with various machine learning algorithms and frameworks
• Analytical with a sound problem solving ability
• Task orientated with a solid sense of urgency
• Excellent communication skills with the ability to explain complex data results to internal stakeholders
• Good presentation skills and able to create effective visual representation of findings
• A team player
• Previous project experience

In Return

This is a senior position in a large and growing organisation offering the successful applicant a high level of responsibility and opportunities. An excellent financial package is on offer for an applicant with proven experience and results.

For more information contact Kim Simpson of Work Wales for a confidential discussion

• We are seeking Data Scientists to support the implementation of Health Assessment Outcomes and AI Personalisation Projects. These initiatives are part of a multi-year programme aimed at delivering measurable impact through advanced clinical statistical techniques and innovative AI solutions.
• The successful candidates will evaluate and quantify the impact of Health Assessments on customer health and wellbeing, while deepening the understanding of customer profiles, health determinants, and personalised healthcare solutions.
• We are looking for individuals with applied experience in data science within a healthcare or clinical setting, who can also act as subject matter experts by collaborating closely with clinicians, operational teams, and business managers.

• Ensure the accuracy, relevance, and robustness of clinical outcomes data through rigorous validation methodologies.
• Identify, define, and track supplementary metrics to enhance outcomes analysis.
• Collaborate with stakeholders to agree on analytical assumptions and clearly articulate limitations.
• Lead the development of research protocols, outlining objectives, scope, and methodological frameworks.
• Conduct in-depth analysis using appropriate statistical and computational techniques.
• Contribute to a comprehensive white paper in collaboration with academic partners.
• Evaluate and tailor clinical risk models to align with datasets and clinical objectives.
• Map input variables to model requirements, ensuring semantic and structural consistency.
• Conduct validation and performance testing, including clinical utility assessments.
• Collaborate with clinical experts to review model assumptions and implications for patient care.
• Prepare documentation for clinical governance bodies to ensure compliance with ethical and regulatory standards.
• Integrate validated clinical risk models into AI personalisation algorithms.
• Design and execute pilot studies using real-world patient cohorts.
• Collaborate with clinical leadership to review pilot outcomes and refine approaches.
• Define clinical rules and inclusion/exclusion criteria to guide model application.
• Enhance AI-driven personalisation by integrating updated clinical risk insights.

• Applied experience in Data Science within a healthcare or clinical setting.
• Expertise in medical statistics, epidemiology, and population health.
• Proficiency in study design, statistical modelling (e.g., survival analysis, regression techniques), and longitudinal data analysis.

Data Idols are working with a fast-growing technology organisation to hire a Data Scientist. This is a hands-on role working directly with clients, embedding into their teams to understand their challenges and deploy data-driven solutions.

As a Data Scientist, you'll work at the intersection of analytics, engineering, and client delivery. You'll partner closely with stakeholders to scope complex problems, wrangle messy real-world datasets, and design solutions that can be deployed into production. This role combines technical depth with the ability to translate data science into practical outcomes for clients. If you thrive on variety, enjoy solving problems face-to-face, and want to see your models make an immediate impact, this is a great fit.

• Strong background in data science, with expertise in Python and SQL
• Experience building and deploying machine learning models into production
• Strong problem-solving skills and ability to work with ambiguous, complex data
• Proven ability to engage directly with clients and non-technical stakeholders
• Experience working in consulting, professional services, or client-facing roles is highly desirable
• Knowledge of data engineering, cloud platforms, or applied analytics a plus

If you are looking for a new challenge, then please submit your CV for initial screening and more details.

Company

ALPINE RACING LIMITED

Job Description

We’re on a mission to return to the front of the grid. We are looking to reinforce our Data Science team here in Enstone and work towards investigation, development, implementation, and maintenance of data models and services in close collaboration with different departments.

This role is for a Data Scientist to join the Software Engineering & Data team, where you will play a crucial role in developing cutting-edge solutions to help the team achieve our goals in the Formula One World Championship.  

The Role

This is a unique opportunity to be part of a Data Science team, working together with Software and Platform Engineers who work tirelessly to improve all areas of the team, from the design and manufacture of the car to the performance analysis at track. The role covers both scientific and engineering aspects of Data Science. The ideal candidate will have passion for data, knowledge sharing and collaboration.

You will be responsible for proposing, developing, implementing/delivering, and maintaining machine learning based solutions for complex F1 problems, as well as communicating with the engineering teams to analyse problems and develop solutions. The ideal candidate will have experience in Data Science algorithms, with demonstrated ability to work and deliver results autonomously within tight schedules.

The Person

If you have a BSc or MSc degree in a relevant field for Data Science, have more than 2-year experience of development in Python and machine learning techniques in production or laboratory, and understand the key parameters that affect their performance as well as end to end data science pipeline, we would love to hear from you! 

We are looking for individuals with excellent verbal and written communication and a strong troubleshooting and problem-solving skills.

We are looking for knowledge and expertise of:

• Python data science packages: Pandas, numpy, scikit-learn, pytorch…
• Machine Learning techniques: Neural Networks, XGBoost, …
• Pipelines and deployment technologies: Azure DevOps, docker, GitHub actions, …
• A good understanding of architecture and design patterns
• Committed to deadlines
• Willing to work in a fast-paced environment as part of a strong-cultured team

Other skills that, although not required, will be considered advantageous would-be a good level of general programming in other relevant languages (e.g. Rust, C#, …).

Positive/“can do” work attitude is of high value for this role. We are looking for a team player with passion for investigation and knowledge sharing.

Not only is this a fantastic role, but it is also a fantastic team to work with here in Enstone at a very interesting point in our journey. A good salary is just the start, there are many other benefits too such as our bonus scheme, private health care cover, company contributed pension scheme, on site gym, subsidised canteen, and a car scheme.

Job Family

Information Technologies & Systems

Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves.  
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By submitting your CV or application, you authorise Renault Group to use and store information about you for the purposes of following up your application or future employment. This information will only be used by Renault Group companies as described in the Group Privacy Policy .

• We are seeking Data Scientists to support the implementation of Health Assessment Outcomes and AI Personalisation Projects. These initiatives are part of a multi-year programme aimed at delivering measurable impact through advanced clinical statistical techniques and innovative AI solutions.
• The successful candidates will evaluate and quantify the impact of Health Assessments on customer health and wellbeing, while deepening the understanding of customer profiles, health determinants, and personalised healthcare solutions.
• We are looking for individuals with applied experience in data science within a healthcare or clinical setting, who can also act as subject matter experts by collaborating closely with clinicians, operational teams, and business managers.

• Ensure the accuracy, relevance, and robustness of clinical outcomes data through rigorous validation methodologies.
• Identify, define, and track supplementary metrics to enhance outcomes analysis.
• Collaborate with stakeholders to agree on analytical assumptions and clearly articulate limitations.
• Lead the development of research protocols, outlining objectives, scope, and methodological frameworks.
• Conduct in-depth analysis using appropriate statistical and computational techniques.
• Contribute to a comprehensive white paper in collaboration with academic partners.
• Evaluate and tailor clinical risk models to align with datasets and clinical objectives.
• Map input variables to model requirements, ensuring semantic and structural consistency.
• Conduct validation and performance testing, including clinical utility assessments.
• Collaborate with clinical experts to review model assumptions and implications for patient care.
• Prepare documentation for clinical governance bodies to ensure compliance with ethical and regulatory standards.
• Integrate validated clinical risk models into AI personalisation algorithms.
• Design and execute pilot studies using real-world patient cohorts.
• Collaborate with clinical leadership to review pilot outcomes and refine approaches.
• Define clinical rules and inclusion/exclusion criteria to guide model application.
• Enhance AI-driven personalisation by integrating updated clinical risk insights.

• Applied experience in Data Science within a healthcare or clinical setting.
• Expertise in medical statistics, epidemiology, and population health.
• Proficiency in study design, statistical modelling (e.g., survival analysis, regression techniques), and longitudinal data analysis.

Data Scientist

Swansea

6000 - 7000 plus bonus

The Company

Opportunity to join a growing group of companies who provide the latest energy-efficient technologies in homes across the UK. The group is well established and work with utility partners, councils, landlord associations and private homeowners providing a Whole Home Approach to create warmer energy efficient homes, whilst reducing carbon emissions. With offices in Cardiff and Swansea this award-winning organisation is in a period of growth and looking for a Data Scientist to join the team.

The Role

We are looking for a highly experienced Data Scientist to work with the senior management team and reporting directly to the CEO, to identify areas for improvement and solve business problems. It is a fast-paced role working simultaneously on a variety of projects to achieve accurate and detailed results.

You will be based in the Swansea office and will be able to work hybrid remote some days on a flexible / occasional basis ensuring the needs of the business are met at all times.

Duties and responsibilities will include:

• Mining data from a variety of company databases and systems
• Preparation of data for analysis
• Data analysis and interpretation, identifying patterns and potential insights
• Statistical modelling and using machine learning techniques to identify trends and make forecasts
• Evaluating model performance using different metrics and refining models to improve performance
• Create visual representation of data to include graphs, dashboards and charts etc.
• Presenting findings to senior management and stakeholders to help the business solve problems and improve operations
• Working collaboratively with internal stakeholders to identity needs, communicate data driven recommendations and create actionable plans
• Using data to identify future potential business problems
• Keeping abreast and evaluation of new technologies and tools used for data analysis
• Ensuring data is collected, stored and used ethically and responsibly

Requirements

The successful applicant will have the following qualifications, experience and qualities:

• This is a senior position requiring extensive experience and proven results
• Master's degree in data science, applied data science or related field preferred
• Experienced with database systems, SQL and full proficiency in Power BI
• Mathematically minded with solid knowledge of statistical methods and probability
• Experienced with various machine learning algorithms and frameworks
• Analytical with a sound problem solving ability
• Task orientated with a solid sense of urgency
• Excellent communication skills with the ability to explain complex data results to internal stakeholders
• Good presentation skills and able to create effective visual representation of findings
• A team player
• Previous project experience

In Return

This is a senior position in a large and growing organisation offering the successful applicant a high level of responsibility and opportunities. An excellent financial package is on offer for an applicant with proven experience and results.

For more information contact Kim Simpson of Work Wales for a confidential discussion

Data Idols are working with a fast-growing technology organisation to hire a Data Scientist. This is a hands-on role working directly with clients, embedding into their teams to understand their challenges and deploy data-driven solutions.

As a Data Scientist, you'll work at the intersection of analytics, engineering, and client delivery. You'll partner closely with stakeholders to scope complex problems, wrangle messy real-world datasets, and design solutions that can be deployed into production. This role combines technical depth with the ability to translate data science into practical outcomes for clients. If you thrive on variety, enjoy solving problems face-to-face, and want to see your models make an immediate impact, this is a great fit.

• Strong background in data science, with expertise in Python and SQL
• Experience building and deploying machine learning models into production
• Strong problem-solving skills and ability to work with ambiguous, complex data
• Proven ability to engage directly with clients and non-technical stakeholders
• Experience working in consulting, professional services, or client-facing roles is highly desirable
• Knowledge of data engineering, cloud platforms, or applied analytics a plus

If you are looking for a new challenge, then please submit your CV for initial screening and more details.

A fast-growing healthcare organization is seeking a Data Scientist with strong experience in machine learning, deep learning, and Large Language Models (LLMs) to help drive innovation and automation in clinical services. This is a full-time, remote UK-based role.

***Unfortunately we can't consider candidates that require sponsorship***

• Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems.

• Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost.

• Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing.

• Manage ML lifecycle with tools such as Databricks , MLflow , and cloud-native platforms (Azure preferred).

• Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (e.g., ISO27001).

• Ensure data governance, particularly around sensitive healthcare data.

• Share best practices and stay current with developments in AI, ML, and LLMs.
  
  

• Proven experience with LLM frameworks and transformer-based architectures.

• Strong Python skills and familiarity with key ML/DL libraries.

• Experience with Azure (or similar cloud platforms), containerization (Docker/Kubernetes a plus), and MLOps tools.

• Understanding of healthcare data privacy, compliance (e.g., ISO standards), and secure data handling.

• Strong communication skills and ability to work cross-functionally in a collaborative environment

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.