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Senior Data Scientist

pavers.co.uk Logo

Pavers

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Location:
United Kingdom , Manchester

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

85000.00 GBP / Year
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Job Description:

Senior Data Scientist at Cox Automotive Europe. The role is a senior individual contributor within the Data Solutions team, focusing on building a Decision Engine recommendation product for major OEM clients. The role involves building machine learning models for pricing intelligence, stock segmentation, buyer behaviour profiling, and channel optimisation, designing counterfactual measurement frameworks, and model explainability. The team is moving toward a product-led intelligence capability.

Job Responsibility:

  • Building and owning the core models that underpin the Decision Engine — pricing intelligence, stock segmentation, buyer behaviour profiling, and channel optimisation
  • Designing the framework that proves the Decision Engine works — counterfactual measurement
  • Building the trust layer with model explainability — reason codes, confidence indicators, contributing factors
  • Working alongside our Vehicle Data and Pricing capability to model OEM pricing decisions
  • Sharing knowledge, reviewing others' work, and helping build a culture where the team learns faster collectively

Requirements:

  • Strong data science fundamentals — production-grade experience in machine learning, statistical modelling, time-series analysis or pricing/propensity modelling
  • Proven track record of building models that go into production and stay there — not just analysis, but deployable, monitored, maintainable outputs that a product team can rely on
  • Experience working in or very close to a commercial domain
  • Comfortable working independently at pace
  • Strong communication skills
  • Experience in automotive, vehicle remarketing, fleet management or fleet disposal
  • Familiarity with explainable AI techniques — SHAP, LIME, feature importance frameworks
  • MLOps experience — experiment tracking (MLflow, Weights & Biases), model monitoring, drift detection, automated retraining pipelines
  • Experience with Databricks or a comparable lakehouse platform
  • Python or R proficiency across the standard DS stack — pandas, scikit-learn, PyTorch or TensorFlow where relevant
  • Experience with PySpark desirable
What we offer:
  • Bonus
  • Competitive salary commensurate with senior experience

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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