Data Scientist (12‑Month Fixed Term Contract) Hybrid Working | Thame, Oxfordshire We’re looking for a Data Scientist to support the build and launch of our new Microsoft Fabric Lakehouse and machine learning platform. Ideal for a Junior / early Mid‑level DS ready to take on more responsibility and deliver real production outcomes. What you’ll do: Build, test, and refine machine learning models for: Activity uplift and impact measurement ROI and value attributin Predictive frecasting Anmaly detection and alerting Develop training and scoring datasets in collaboration with Data Engineers, ensuring data quality and consistency within the Delta Lakehouse. Perform feature engineering and help create analytics‑ready Silver and Gold datasets. Validate model outputs using appropriate statistical and ML evaluation techniques. Conduct experimentation using Fabric Notebooks (Python / PySpark) and AutoML where suitable. Work with BI developers to ensure model outputs flow cleanly into Power BI dashboards and reporting layers. Support embedding of models into production workflows, including scoring, refresh routines, and light-touch monitoring. Produce clear, structured documentation covering model logic, assumptions, limitations, and operational guidance. Participate in delivery planning and backlog refinement; work under guidance while taking ownership of defined deliverables. Assist with knowledge transfer to internal platform, reporting, and operational teams. Essential Criteria: Commercial experience as a Data Scientist, Junior DS, or advanced Data Analyst (or relevant training). Strong grounding in statistics and applied analytics. Experience building regression, classification, forecasting, or anomaly detection models. Practical experience using Python for data analysis and modelling. Ability to work with structured business data (e.g. sales, operational or transactional datasets). Strong SQL skills for data exploration and validation. Ability to communicate analytical results clearly to non‑technical stakeholders. Proactive, delivery‑focused mindset with willingness to grow technical capability. Desirable Criteria: Exposure to cloud analytics platforms or Lakehouse environments (e.g., Microsoft Fabric, Databricks, Synapse). Familiarity with notebooks, experimentation workflows, or AutoML. Basic understanding of PySpark or scalable data processing. Experience contributing to BI‑delivered analytics or embedded model outputs. Understanding of causal or quasi‑experimental techniques (e.g., pre/post analysis, matched controls). Degree in Data Science, Mathematics, Statistics, Computer Science, or a related field. Apply today! You must be eligible to work in the UK and have a full UK Driving Licence. Field Sales Solutions is an equal opportunities employer. Live our company values: Partnership - We are transparent, open, and work together with our clients and colleagues to achieve common goals. Return - We drive and evaluate all activity by identifying and delivering a positive ROI. Ownership - We understand our role and have a sense of purpose and accountability in everything we do. Upstanding – We are honest, reliable, and ethical in all we do, showing professionalism and integrity always. Determined – we know that success requires perseverance, and we are driven to achieve. We are PROUD to be Field Sales Solutions.