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 growth in a fast-paced, innovative 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 experience in data science and predictive analytics.
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 Stockport employer: Aquent
As a Data Science Engineer at our multinational cloud-based software company, you will thrive in a dynamic and inclusive work culture that prioritises creativity and innovation. With flexible working arrangements in Reading or London, we offer competitive pay and a commitment to employee growth through continuous learning opportunities and collaboration with cross-functional teams. Join us to make a meaningful impact in the education sector while enjoying the benefits of a supportive environment that values diversity and equal opportunity.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Engineer (210211) in Stockport
✨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 when discussing your experience during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled complex datasets and driven revenue growth in past roles.
✨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 Stockport
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly 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 help us identify untapped revenue opportunities. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any projects that involved building data pipelines or predictive modelling, make sure to include them in your application. We love seeing real-world examples of your work and how you’ve tackled complex datasets!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity. Don’t miss out!
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
Since this role is focused on the education market, do your homework! Familiarise yourself with subscription models, procurement structures, and purchasing dynamics in education. This knowledge will help you connect with interviewers and demonstrate your genuine interest in the sector.
✨Prepare for Technical Questions
Expect to face technical questions about data science models and predictive analytics techniques. Prepare examples of how you’ve developed and optimised these models in the past. Practising your responses will help you feel more confident and articulate during the interview.
✨Communicate Clearly and Effectively
You’ll need to translate complex analytical outputs into insights for senior stakeholders. Practice explaining your work in simple terms, focusing on the impact it had on business decisions. Clear communication can set you apart from other candidates and show that you can bridge the gap between data and strategy.
