Senior Data Scientist, Pricing & ML Innovation

Harnham - Data and Analytics Recruitment

Greater London

On-site

GBP 60,000 - 75,000

Full time

5 days ago
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Job summary

Harnham - Data and Analytics Recruitment seeks a Senior Data Scientist to join its pricing analytics function in London/Leicester. You will develop cutting-edge ML models to influence pricing strategy and deliver business impact.

The role focuses on end-to-end ML projects, model deployment, data sourcing, and collaboration with engineers, analysts and business stakeholders to drive commercial value. Strong Python/SQL skills and experience with Azure ML are essential to succeed in this

Qualifications

  • Strong experience delivering end-to-end ML projects.
  • Proficient Python and SQL for data science.
  • Experience with Azure ML and cloud services.

Responsibilities

  • Develop and deploy ML models for pricing and risk management.
  • Build predictive models for claims outcomes, fraud detection, and business metrics.
  • Create analytic tools to manage and optimise risk portfolios.
  • Identify and utilise new data sources to improve models.
  • Engineer new predictive features for pricing algorithms.
  • Own projects across the ML lifecycle from exploration to deployment and monitoring.
  • Collaborate with data scientists, engineers, analysts and stakeholders to deliver value.
  • Explore emerging ML techniques and assess their business applicability.

Skills

Python
SQL
Azure Machine Learning
Azure Cloud Services
Model deployment
Feature engineering
Stakeholder collaboration

Tools

Git
Azure ML Studio

Job description

Harnham - Data and Analytics Recruitment seeks a Senior Data Scientist to join its pricing analytics function in London/Leicester. You will develop cutting-edge ML models to influence pricing strategy and deliver business impact.

The role focuses on end-to-end ML projects, model deployment, data sourcing, and collaboration with engineers, analysts and business stakeholders to drive commercial value. Strong Python/SQL skills and experience with Azure ML are essential to succeed in this

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