At a Glance
- Tasks: Design and build advanced data models to uncover revenue opportunities in global education markets.
- Company: Join a leading cloud-based software company driving creative innovation worldwide.
- 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 of SQL and Python experience, with a knack for data science and 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.
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) employer: Aquent
As a leading multinational cloud-based software company, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and excel. Located in the vibrant areas of Reading and London, we offer competitive pay, flexible working arrangements, and ample opportunities for professional growth, ensuring that our team members can thrive both personally and professionally. Join us to be part of a collaborative environment where your contributions directly impact the future of creative innovation across diverse industries.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Engineer (210211)
✨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 related 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 relate to the role. Practice explaining complex data 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 that application in and let’s make some data magic happen!
We think you need these skills to ace Data Science Engineer (210211)
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 skills can help us drive revenue growth. Keep it concise but impactful!
Showcase Relevant Projects:If you've worked on projects that involved building data pipelines or predictive models, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team!
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 successfully queried, cleansed, or integrated data.
✨Understand the Education Sector
Since this role focuses on the education market, do your homework! Familiarise yourself with subscription models, procurement structures, and how consortium-based purchasing works. This knowledge will help you connect better with stakeholders during the interview.
✨Showcase Your Analytical Skills
Prepare to discuss your experience with propensity modelling and predictive analytics. Be ready to share examples of how your analytical outputs have driven revenue growth and influenced strategic decisions in previous roles.
✨Communicate Clearly and Confidently
You’ll need to translate complex data insights into compelling narratives for senior stakeholders. Practice explaining your past projects in a way that highlights your impact and aligns with the company’s commercial objectives.
