Data Scientist - Maidenhead (£40-45k

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

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Type: Permanent

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About the Company

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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.

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

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What we are looking for

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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.

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

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The ideal candidate will bring:

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

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

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Experience in any of the following would be particularly useful:

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