Data Science Engineer
Posted 1 week ago by eTeam Workforce Limited
£407 Per day
Inside
Hybrid
Reading, UK
Summary: The Data Science Engineer role involves designing and delivering a sophisticated model to identify untapped revenue opportunities in global education markets. The position requires collaboration with various stakeholders to integrate datasets and align analytical outputs with commercial strategies. The role is hybrid, requiring three days a week onsite in Reading, UK, and is offered as a six-month contract. The pay rate is £407 per day through PAYE via an umbrella company.
Key Responsibilities:
- Design and deliver a sophisticated EDU rSAM model to quantify untapped revenue opportunities across global education markets.
- Partner cross-functionally with key stakeholders to understand the complexities of the education sector.
- Collaborate with Data Engineering teams to integrate third-party datasets for actionable customer intelligence profiles.
- Work closely with Product Marketing and Sales Strategy teams to align analytical outputs with go-to-market strategies.
- Design, build, and productionise scalable end-to-end data pipelines.
- Combine the EDU rSAM with advanced propensity modelling techniques to optimise sales motions.
- Deliver high-impact strategic insights on market opportunity sizing and customer propensity trends to senior leadership.
Key Skills:
- 5+ years of advanced SQL expertise, ideally within Databricks environments.
- Strong Python capabilities for data manipulation, statistical analysis, and predictive modelling.
- Demonstrated success in developing and optimising data science models contributing to revenue growth.
- Experience with propensity modelling and predictive analytics techniques.
- Exceptional ability to translate complex analytical findings into clear insights for stakeholders.
- Strong analytical thinking and problem-solving skills in fast-paced environments.
Salary (Rate): £407 per day
City: Reading
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Job Title: Data Science Engineer
Location: Reading (Hybrid - 3 days per week onsite)
Duration: 6 months contract
Pay rate: £407 per day all inc. (PAYE through Umbrella)
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 operationalise third-party datasets eg 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.
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.
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.