Data Scientist

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.

Do you have a valid Driving Licence license?, Do you have experience in SQL?, * 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., * 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.

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.