Data Scientist

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Reference:BH-2039-2

Sector:BI, Data Science & Analytics

Salary:Competitive

Benefits:0

Town/City:York

Contract Type:Permanent

Closing Date:13/01/2026

Data Scientist | Car/Allowance + Bonus | York, Manchester or Birmingham | Hybrid

We are looking for a Data Scientist to join a fast-paced FTSE 100 company, working with a range of large and complex data sets.

The role will involve designing and building effective data and forecasting models using Spark SQL and Python. This is a great opportunity to work on future projects integrating AI – if this is something you’re interested in please apply below!

Role/Responsibilities:
• Contribute to the effective functioning of the enterprise data infrastructure
• Design and develop data models and data flows
• Use statistical methods to build predictive forecasting models
• Assist with the data architecture framework, standards, and principles, including modelling, security, master and reference data across multiple solutions
• Translate and refine business requirements into technical specifications including data streams, warehouses, semantic models, dashboards and reports
• Produce and update technical documentation (e.g. data dictionary / catalogues)

Experience/Requirements:
• Experienced with SQL / Spark SQL
• Experience of data modelling and forecasting
• Experience of Python (including pyspark / pandas)
• Knowledge of relational database and data warehouse concepts (dimensions, facts, star schemas)
• Knowledge of Azure DevOps and Databricks
• Interest / experience of utilising AI for data analysis
• Desirable experience: Power BI, R programming

Package:
• Competitive salary
• Bonus
• Company car / car allowance
• 25 days holiday (rising to 28 days after 5 years of service)
• Private healthcare
• Life assurance
• Pension
• Hybrid/flexible working from Birmingham, Manchester or York


This Data Scientist vacancy is being handled by Langham Recruitment Ltd. Langham Recruitment Ltd acts as an employment agency and is registered in England and Wales (reg 11525223).

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