> Markdown version of [/jobs/ext/3859105-data-scientist](https://www.wearedevelopers.com/jobs/ext/3859105-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Robert Half International Inc. - **Location:** Windsor, UK - **Salary:** £50,000.0 - £55,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Applications, Continuous Integration, Data Integration, Data Structures, Database Queries, Python (Programming Language), Machine Learning, Power BI, SQL Databases, Snowflake, Information Technology, Machine Learning Operations, Data Pipelines, Docker - **Published:** October 22, 2026 - **Apply:** https://www.reed.co.uk/jobs/data-scientist/57481366 ## About the Role * A degree or postgraduate qualification in Data Science, Statistics, Mathematics, Computer Science or a related quantitative discipline. * Some practical experience with machine learning, AI or predictive modelling, gained through university projects or professional experience. * Strong SQL skills and an understanding of data structures, data integration and statistical methods. * A practical, proactive approach and the confidence to tackle imperfect data and ambiguous problems. * Strong communication skills, with the ability to explain findings and recommendations to non-technical stakeholders. Experience with Power BI, Snowflake, Python, MLOps, Docker, CI/CD or AI-powered applications would be advantageous. ## Description * Clean, reconcile and integrate messy data from multiple systems using SQL, data pipelines and fuzzy matching techniques. * Develop, test and improve machine learning models, including predictive and risk modelling. * Explore AI applications to extract and validate information from documents, identify reliable data sources and automate processes. * Support the integration of data and ML models within a Snowflake environment. * Build data visualisations and dashboards to communicate insights to business leaders and investors. * Work with stakeholders to translate business challenges into practical, data-driven solutions.