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Data Science Engineer

Job in Reading, Berkshire, RG1, England, UK
Listing for: eTeam
Contract position
Listed on 2026-05-27
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Data Science Engineer Duration: 6 months contract What You Will Do

  • Design and deliver a sophisticated EDU rSAM (remaining sales addressable market) model to quantify untapped revenue opportunities across global education markets.
  • Partner cross‑functionally with key stakeholders to deeply understand the complexities of the education sector, including diverse subscription models, institutional procurement structures, and consortium‑based purchasing dynamics.
  • Collaborate with Data Engineering teams to integrate and ope rationalise third‑party datasets e.g. student population and institutional metrics to create rich, actionable customer intelligence profiles.
  • Work closely with the Product Marketing and Sales Strategy teams to align analytical outputs with go‑to‑market strategies, pricing frameworks, and commercial objectives at the product‑offering level.
  • Design, build, and product ionise scalable end‑to‑end data pipelines incorporating normalised customer attributes, behavioural signals, and finalised rSAM outputs.
  • Combine the EDU rSAM with advanced propensity modelling techniques to optimise education‑focused sales motions and accelerate customer growth opportunities.
  • Deliver high‑impact strategic insights on market opportunity sizing and customer propensity trends to senior leadership, enabling data‑driven decision‑making and long‑term commercial planning.
What You Will Need to Succeed
  • 5+ years of advanced SQL expertise, with a strong track record in querying, cleansing, integrating, and analysing complex datasets at scale, ideally within Databricks environments.
  • Strong Python capabilities for data manipulation, statistical analysis, and predictive modelling.
  • Demonstrated success in developing, validating, and continuously optimising data science models that directly contribute to revenue growth and commercial performance.
  • Experience with propensity modelling and related predictive analytics techniques is highly advantageous.
  • Exceptional ability to translate complex analytical findings into clear, compelling insights for senior stakeholders and cross‑functional audiences.
  • Strong analytical thinking and problem‑solving skills, with proven success operating in fast‑paced, high‑growth environments with evolving business priorities.
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