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.
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 Newcastle upon Tyne 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 Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the education and data science sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those that relate to education or revenue growth. Use platforms like GitHub to share your code and insights. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your past projects and how they’ve driven commercial performance. Practice explaining complex concepts in simple terms – it’s all about making your insights accessible to everyone!
✨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. So, get your application in and let’s make some data magic happen together!
We think you need these skills to ace Data Science Engineer (210211) in Newcastle upon Tyne
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 modelling or analytics that 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 experience can help us drive revenue growth through data science.
Showcase Relevant Projects:If you've worked on projects that involved building data pipelines or predictive models, make sure to showcase them. We love seeing real-world applications of your skills!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Aquent
✨Know Your Data Inside Out
Make sure you’re well-versed in SQL and Python, as these are crucial for the role. Brush up on your experience with complex datasets and be ready to discuss specific projects where you’ve used these skills to drive revenue growth.
✨Understand the Education Sector
Familiarise yourself with the intricacies of the education market, including subscription models and procurement structures. This knowledge will help you demonstrate your ability to partner effectively with cross-functional stakeholders during the interview.
✨Prepare for Technical Questions
Expect to tackle questions about data pipelines and propensity modelling techniques. Be prepared to explain your thought process and the methodologies you’ve used in past projects, showcasing your analytical thinking and problem-solving skills.
✨Communicate Clearly and Confidently
Practice translating complex analytical outputs into simple insights. During the interview, focus on how you can convey your findings to senior stakeholders in a compelling way, as this is key to aligning with commercial objectives.
