Job title | Data Science Engineer |
Job Type | Contract (6 Months) |
Client / Industry | Software |
Location | Reading (Hybrid/ Remote) |
Key roles and 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 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 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.
Skills Looking for:
- 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.
GCS is acting as an Employment Business in relation to this vacancy.
Data Science Engineer
Reading
Contract
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