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Senior Data Scientist

Actively Reviewing the Applications

Manchester Digital

On-site
Posted 4 hours ago • Apply by June 15, 2026

Job Description

The Role

As Senior Data Scientist, You Will

  • Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance
  • Translate business objectives into modelling strategies aligned to risk appetite and operational constraints
  • Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent)
  • Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions
  • Establish monitoring frameworks for performance, drift, and retraining
  • Drive clear documentation, traceability, and governance appropriate for a regulated environment

This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance.

Essential Experience

  • Proven commercial ML/Data Science delivery with measurable impact
  • Experience taking models into production and managing performance over time
  • Prior experience leading or mentoring Data Scientists
  • Strong Python (pandas, numpy, scikit-learn or similar)
  • Strong SQL (complex joins, aggregations, analytical functions)
  • Solid grounding in applied statistics, evaluation design, calibration, bias/fairness
  • Experience working closely with Engineering/Data teams in production-first environments
  • Comfortable operating within regulated industries

Desirable

  • AWS experience (S3, Athena/Glue, IAM, Lambda)
  • SageMaker or equivalent ML platform experience
  • Financial services domain knowledge (risk, fraud, affordability, payments)
  • Experience with model explainability and governance documentation

Package & Benefits

  • Hybrid working model
  • Competitive pension
  • Additional paid leave (birthday, charity, wellbeing, life events)
  • Employee assistance programme & Virtual GP
  • Modern collaborative office environment

Required Skills

Engineering Documentation Calibration Monitoring Python SQL AWS IAM Pandas NumPy Scikit-learn Drift Data Science Mentoring Grounding Framing Statistics Lambda Governance Risk Financial Services Aggregations Athena Traceability Risk appetite Domain Knowledge Sagemaker Evaluation Design Financial Crime Virtual Fraud Crime Applied Statistics Glue SciKit Data scientist Feature Engineering
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