Senior Data Scientist

Robert Walters
Chester, UK
2 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£143,000.0 - £156,000.0
Working hours
Regular working hours

Tech stack

Software Quality Data Structures Python (Programming Language) Machine Learning Azure Machine Learning Software Deployment SQL Databases Large Language Models Model Validation Pandas Microsoft Fabric Scikit Learn
+2 more
Xgboost Machine Learning Operations

Job description

We need a hands-on Contract Senior Data Scientist to design, build, and ML models that drive commercial performance. You will take ownership of the full life cycle: framing problems, building models, and deploying them reliably into production.

This assignment requires an expert Data Science practitioner who can take complex business problems through the full life cycle independently: framing the problem, exploring data structures, building/validating models, and ensuring reliable production deployment. You will collaborate closely with product, commercial, and engineering teams to deliver robust, outcomes-focused solutions.

Key Deliverables

  • Ship ML Models: End-to-end delivery focusing on pricing, personalisation, forecasting, or user experience.
  • Production & MLOps: Deploy models and set up monitoring, alerting, drift detection, and retraining cadences.
  • Technical Quality: Set a high bar for code quality, testing, and model documentation while advising cross-functional teams.

Requirements

  • Tech Stack: Advanced Python, SQL, Pandas, Scikit-Learn, and XGBoost/LightGBM.
  • ML Experience: Proven end-to-end delivery of live production models, including MLOps.
  • Domains: Experience in 2+ areas: forecasting, segmentation, recommenders, ranking, or behavioural modelling.
  • Soft Skills: Ability to translate complex technical metrics into clear business value for stakeholders.
  • Desirable: Travel/marketplace sector experience; Azure ML/Microsoft Fabric; LLMs/GenAI in production.

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