At a Glance
- Tasks: Build and enhance data models that drive sales strategy in the education sector.
- Company: Globally recognised tech company focused on innovative education solutions.
- Benefits: Competitive pay, flexible location, and weekly payments.
- Other info: Dynamic role with opportunities for growth in a collaborative environment.
- Why this job: Make a real impact by presenting insights to senior leadership.
- Qualifications: Strong Python and SQL skills, with proven experience in propensity modelling.
The predicted salary is between 60000 - 80000 £ per year.
Senior Data Scientist - Propensity & Market Modelling
The role
A globally recognised technology company is growing its education segment - and data is at the heart of it. We need a hybrid Data Scientist who can build propensity models, size market opportunities, and engineer the pipelines to make it all work in production. This isn't a back-office analytics role. Your outputs go straight to senior leadership and drive sales strategy.
What you'll be doing
- Building an opportunity sizing model across K12, higher ed, and institutional markets
- Extending existing propensity models for the education segment
- Integrating third-party data sources into scalable, production-grade pipelines
- Presenting insights to senior commercial stakeholders
What you need
- Strong Python - the existing model suite is Python-heavy
- Advanced SQL - 5+ years, large complex datasets, Databricks a plus
- Proven propensity modelling experience - built and delivered, not just theoretical
- Genuine hybrid capability - data science and data engineering
- Confident communicator with non-technical stakeholders
Education sector experience is a bonus - but not a dealbreaker.
The Offer
6 months contract PAYE (until end of Nov 2026) - Paid weekly via Principle HR
Location: Reading/ London - flexible for the right person - 2 days
Interested? Let’s talk. Apply Now with your CV or just your LinkedIn profile.
Hybrid Data Scientist: Propensity & Market Modelling employer: Principle
Join a globally recognised technology company that places data at the forefront of its education segment, offering a dynamic work environment where your contributions directly influence senior leadership and sales strategy. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and a collaborative culture that values innovation and communication. Located in Reading/London, this role provides flexibility and the chance to work with cutting-edge technologies in a thriving sector.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Scientist: Propensity & Market Modelling
✨Tip Number 1
Network like a pro! Reach out to connections in the education and data science sectors. Attend meetups or 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 propensity models and any relevant projects. Use platforms like GitHub to share your code and demonstrate your Python and SQL prowess. This will make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your ability to explain complex data concepts to non-technical stakeholders. Practice presenting your insights clearly and confidently, as this is key for roles that interact with senior leadership.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to highlight your hybrid skills in data science and engineering, and let us help you land that dream job!
We think you need these skills to ace Hybrid Data Scientist: Propensity & Market Modelling
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with propensity modelling and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Showcase Your Python Skills:Since this role is Python-heavy, include specific examples of how you've used Python in your previous work. We love seeing real-world applications of your coding skills, so let us know what you've built!
Communicate Clearly:You’ll be presenting insights to senior stakeholders, so it’s crucial to demonstrate your ability to communicate complex data in a simple way. Use clear language in your application to show us you can bridge the gap between technical and non-technical audiences.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Principle
✨Know Your Models Inside Out
Make sure you can discuss your experience with propensity models in detail. Be ready to explain how you've built and delivered these models, including the challenges you faced and how you overcame them.
✨Brush Up on Python and SQL
Since the role is Python-heavy and requires advanced SQL skills, we recommend reviewing your past projects. Be prepared to demonstrate your coding skills or even solve a problem on the spot during the interview.
✨Communicate Like a Pro
You’ll be presenting insights to senior stakeholders, so practice explaining complex data concepts in simple terms. Use examples from your past experiences to show how you’ve successfully communicated with non-technical audiences.
✨Research the Education Sector
While education sector experience isn't a dealbreaker, having some knowledge about it can set you apart. Familiarise yourself with current trends and challenges in K12 and higher education to show your genuine interest in the field.
