Data Science Engineer

Job Description

Client

Location:

Reading / London - flexible

Pay Comments: up to £42.92/hr PAYE

Duration: 6 months

We are seeking a Senior Data Scientist to design, build, and scale an advanced EDU rSAM (Remaining Sales Addressable Market) model to identify and quantify untapped revenue opportunities across global education markets.

You will partner closely with cross‑functional stakeholders to develop a deep understanding of the education sector, including complex subscription models, institutional procurement structures, and consortium‑based purchasing dynamics. This role will sit at the intersection of data science, commercial strategy, and go‑to‑market execution.

You will collaborate with Data Engineering teams to integrate and ope rationalise third‑party datasets (e.g. student population and institutional metrics), building rich and actionable customer intelligence profiles that inform strategic decision‑making.

Working alongside Product Marketing and Sales Strategy teams, you will ensure analytical outputs are effectively aligned to go‑to‑market strategy, pricing frameworks, and broader commercial objectives at the product‑offering level.

A key part of the role will involve designing, building, and product ionising scalable end‑to‑end data pipelines, incorporating normalised customer attributes, behavioural signals, and finalised rSAM outputs.

You will also combine EDU rSAM outputs with advanced propensity modelling techniques to optimise education‑focused sales motions and accelerate customer growth opportunities.

Ultimately, you will deliver high‑impact strategic insights on market sizing and customer propensity trends to senior leadership, enabling robust, data‑driven decision‑making and long‑term commercial planning.

• 5+ years’ advanced SQL experience, with a strong track record in querying, cleansing, integrating, and analysing complex datasets at scale, ideally within Databricks environments.
• Strong Python skills for data manipulation, statistical analysis, and predictive modelling.
• Proven experience developing, validating, and optimising data science models that directly drive revenue growth and commercial performance.
• Experience with propensity modelling and related predictive analytics techniques is highly advantageous.
• Strong ability to translate complex analytical outputs into clear, compelling insights for senior stakeholders and cross‑functional audiences.
• Excellent analytical thinking and problem‑solving skills, with experience operating in fast‑paced, high‑growth environments with evolving business priorities.

Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under‑represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.