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# Data Scientist

- **Company:** Via
- **Location:** Milton Keynes, UK
- **Experience:** Experienced
- **Salary:** £45,000.0 - £53,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Audit Trail, Microsoft Azure, Big Data, Data Presentation, Python (Programming Language), Machine Learning, Power BI, Standard Sql, Systems Integration, Feature Engineering, Model Validation, Pyspark, Databricks
- **Published:** October 15, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-scientist/57459250

## About the Role

* Professional experience in a data science role, applying statistical or machine learning techniques to real business problems (up to around two years' experience)
 * Hands-on experience building data science solutions in Python and working with data in SQL
 * Experience across the full data science lifecycle, including problem framing, feature engineering, model evaluation, implementation and monitoring
 * Power BI experience, including data modelling, DAX, visualisation design and dashboard performance
 * Strong analytical problem-solving, with the curiosity and tenacity to dig into results
 * Clear communication and data storytelling skills for both technical and non-technical audiences
 * The ability to build trust with stakeholders and influence decisions

Desirable

 * Data science experience in operations, retail, supply chain, service or another operationally intensive environment
 * Forecasting, optimisation, classification, anomaly detection, experimentation or causal methods
 * PySpark, Databricks, Azure or similar cloud and big-data technologies
 * Deploying, integrating or monitoring ML models in production
 * Applying generative AI or other emerging AI techniques responsibly to business problems

## Description

* Own defined data science use cases from start to finish: problem framing, exploratory analysis, modelling, validation, implementation and monitoring
 * Apply statistical modelling, machine learning and AI techniques to operational challenges using Python and SQL
 * Build and evaluate predictive, forecasting, classification, optimisation or anomaly-detection models as appropriate
 * Investigate operational performance across multiple data sources and turn findings into clear, practical recommendations
 * Maintain and improve operational Power BI dashboards so reporting supports real decision-making
 * Build trusted relationships with senior Operations stakeholders and influence decisions with evidence
 * Help shape the Operations Data Science roadmap by identifying and delivering high-value opportunities
 * Work to established standards for data quality, model governance and responsible AI, with reproducible work and a clear audit trail