Data Science Engineer

Salary: £? - ? per year

Requirements

• 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.

Responsibilities

• 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 operationalise third-party datasets such as 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 productionise 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.

Technologies

• Databricks
• Marketing
• Python
• SQL

More

We are a software business hiring for a Data Science Engineer on a 6-month contract. This role is based in Reading with hybrid or remote working available. The position sits within a fast-paced, high-growth environment and offers the opportunity to work cross-functionally with data engineering, product marketing, sales strategy, and senior leadership to shape commercial planning and revenue growth in the education sector.

last updated 28 week of 2026