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: Dynamic role with opportunities for growth in a 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 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 Stoke-on-Trent 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 Stoke-on-Trent
✨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
Prepare for interviews by brushing up on your SQL and Python skills. Practice common data science problems and be ready to showcase your analytical thinking. We want you to shine when it comes to those technical questions!
✨Tip Number 3
Don’t just apply; follow up! After submitting your application through our website, drop a quick message to the hiring manager or recruiter. It shows your enthusiasm and keeps you on their radar.
✨Tip Number 4
Tailor your pitch! When you get the chance to speak with someone from the company, make sure to highlight how your experience aligns with their needs, especially around revenue growth and market insights. We want to see that passion for the education sector!
We think you need these skills to ace Data Science Engineer (210211) in Stoke-on-Trent
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Science Engineer. 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 fits with our needs!
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. We love seeing real-world applications of your skills, especially if they relate to the education market or commercial strategy.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being 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
Dive deep into the education market and its unique dynamics. Familiarise yourself with subscription models and procurement structures. This knowledge will help you connect your analytical skills to real-world applications, making you a more compelling candidate.
✨Prepare for Technical Questions
Expect to face technical questions about data pipelines and propensity modelling. Prepare examples from your previous work where you’ve designed and implemented these processes. Demonstrating your hands-on experience will give you an edge over other candidates.
✨Communicate Clearly with Stakeholders
Practice translating complex data insights into clear, actionable recommendations. Think of examples where you’ve successfully communicated with senior stakeholders. This skill is crucial for the role, so showcasing your ability to bridge the gap between data science and business strategy will impress the interviewers.
