Aquent
Data Science Engineer [210211]
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Job Title: Senior Data Scientist – EDU rSAM & Growth Analytics
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 operationalise 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 productionising 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.
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Skills & Experience
- 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.
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Client Description
A multinational cloud-based software company specialising in a series of products designed to drive creative innovation across multimedia. Used by millions around the world for personal and professional use across all industries.
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.
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