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Senior Data Scientist

Harnham
Reading
1 month ago
Applications closed

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Senior Data Scientist

Senior Data Scientist

Reading – Hybrid

Up to £70,000


About the Role

I’m currently partnered with a global leader in data, insights, and consulting who are looking to bring on a Senior Data Scientist to join their highly respected data team.


This is a high-impact opportunity focused on yield optimisation – using data science to drive better consistency, forecast accuracy, and operational efficiency. You’ll work closely with both commercial and technical stakeholders to develop data-driven strategies that improve trading outcomes at scale.


The team is well-established and growing, with excellent visibility across the business and a genuine appetite for data innovation.


Key Responsibilities

  • Optimise existing yield and matching models for better consistency and forecasting performance.
  • Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements.
  • Build and deploy scalable data science solutions that drive measurable business impact.
  • Collaborate with developers and commercial leads to implement models into production systems.
  • Present insights in a clear, impactful way to senior non-technical stakeholders.
  • Own the full data science project lifecycle – from hypothesis to production and iteration.
  • Support scenario planning and forecasting for commercial strategy.


What They’re Looking For

  • Solid experience in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance.
  • Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI.
  • Familiarity with cloud platforms such as AWS, Redshift, or Azure.
  • Strong grasp of forecasting, optimisation, and statistical modelling techniques.
  • Confident communicator who can translate technical outputs into business recomme
  • ndations.
  • Comfortable working in agile, iterative environments with cross-functional teams.



**Please note: Unfortunately, this roledoes notoffer visa sponsorship**

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

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