At a Glance
- Tasks: Design and build advanced data models to uncover revenue opportunities in education markets.
- Company: Join a leading cloud-based software company driving creative innovation globally.
- Benefits: Competitive pay, flexible working, and a commitment to inclusivity.
- Other info: Exciting opportunity for career growth in a dynamic, fast-paced environment.
- Why this job: Make a real impact by delivering strategic insights that shape the future of education.
- Qualifications: 5+ years in SQL and Python, with strong analytical and problem-solving skills.
The predicted salary is between 30000 - 40000 £ per year.
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.
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.
This role is open for a limited time. Next steps will be shared with shortlisted candidates ASAP. Due to the high volume of applicants, we may be unable to reply to each applicant individually. Thank you for taking the time to apply.
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.
Data Science Engineer (210211) in Milton Keynes employer: Aquent
As a leading multinational cloud-based software company, we offer an exceptional work environment that fosters creativity and innovation. Our flexible working arrangements in Reading or London, combined with a strong commitment to inclusivity and employee growth, make us an attractive employer for data science professionals. Join us to collaborate with cross-functional teams, develop impactful data-driven strategies, and contribute to meaningful projects that drive success in the global education market.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Engineer (210211) in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that Data Science Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving SQL and Python. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key when working with cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Science Engineer (210211) in Milton Keynes
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Science Engineer role. Highlight your SQL and Python skills, and any experience with data science models that have driven revenue growth. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the education sector and how your analytical skills can contribute to our goals. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build and scale data models. We’re keen to see how you’ve tackled real-world problems in the past.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It streamlines the process for us and ensures your application gets to the right people quickly. Plus, it’s super easy!
How to prepare for a job interview at Aquent
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets relevant to the role. Brush up on your SQL and Python skills, and be ready to discuss how you've used them to drive revenue growth in past projects. Being able to articulate your experience with complex datasets will show that you’re the right fit for the job.
✨Understand the Education Sector
Familiarise yourself with the intricacies of the education market, including subscription models and procurement structures. This knowledge will help you connect with the interviewers and demonstrate your ability to contribute to their commercial strategy effectively.
✨Prepare for Technical Questions
Expect to face technical questions about data science models and propensity modelling techniques. Prepare examples from your previous work where you’ve developed or optimised models, and be ready to explain your thought process clearly and concisely.
✨Communicate Insights Clearly
Practice translating complex analytical outputs into simple, actionable insights. The ability to communicate effectively with senior stakeholders is crucial, so think of ways to present your findings in a compelling manner that aligns with business objectives.
