Data Scientist (£40-45k

Location: Maidenhead - Hybrid (3 days per week in the office)

Type: Permanent

An established technology-led organisation that develops data-driven solutions used by a broad customer base. Having built a very solid technical team with low staff attrition
, a collaborative culture and a strong emphasis on developing people internally. The successful candidate will join a supportive Data and Engineering function where they will have exposure to interesting technical challenges, modern AI technologies and plenty of opportunity to progress their career.

The position comes with an excellent salary package, great benefits, hybrid working and very good long-term career progression
.

We are looking for a Data Scientist who enjoys turning complex datasets into practical insights and building analytical and machine learning solutions that solve genuine business problems.

You will work across the lifecycle of data science projects, from exploring and preparing data through to experimentation, predictive modelling, testing and implementation.

The ideal candidate will bring:

• Commercial or academic experience applying data science, statistical or machine learning techniques to real-world problems.
• Strong programming ability using Python
  , with R experience considered an advantage.
• Good knowledge of SQL and relational databases.
• Experience analysing and interpreting large or complex datasets.
• Knowledge of machine learning and predictive modelling techniques.
• Experience designing experiments, testing hypotheses or carrying out A/B testing
  .
• Understanding of data visualisation and presenting analytical findings clearly.
• Exposure to AI-assisted development tools such as Claude Code
  , ideally alongside an understanding of agentic AI
  .
• A degree in Data Science, Statistics, Mathematics or another relevant quantitative discipline.

• Exploring complex datasets to uncover patterns, trends and commercially useful insights.
• Designing, building and improving machine learning and predictive models
  .
• Using statistical analysis and experimentation to test ideas and measure outcomes.
• Developing data preparation processes and supporting ETL/data processing workflows
  .
• Working alongside Data Engineers to improve the reliability, accessibility and quality of data.
• Creating automated testing around analytical processes, data workflows and models.
• Contributing to technical discussions and helping shape the design of new solutions.
• Developing an understanding of the relevant business domain to identify new modelling opportunities and useful features.
• Communicating results and recommendations clearly to both technical stakeholders and wider business teams.

Experience in any of the following would be particularly useful:

• R
• AWS
• Cloud-based data or machine learning environments
• Claude Code or similar AI-assisted development tools
• Agentic AI / AI agents
• Building or supporting production machine learning solutions
• ETL and data engineering concepts
• Automated testing of data science or ML workflows