At a Glance
- Tasks: Build data models and pipelines that drive sales strategy in the education sector.
- Company: Globally recognised tech company focused on innovative education solutions.
- Benefits: Competitive salary, flexible location, and weekly pay.
- Other info: Dynamic role with opportunities for growth in a hybrid data science 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 75000 - 75000 € per year.
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:
- Annual Salary range £75000 - £ doe
- 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.
Senior Data Scientist - Propensity & Market Modelling - Global Tech in London employer: Principle
Join a globally recognised technology company that places data at the forefront of its education segment. With a strong focus on employee growth, you will have the opportunity to work directly with senior leadership, influencing sales strategy through your insights. Enjoy a collaborative work culture that values innovation and offers flexible working arrangements in the vibrant locations of Reading and London.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Propensity & Market Modelling - Global Tech in London
✨Tip Number 1
Network like a pro! Reach out to connections in the tech and education sectors. Attend industry meetups or webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your propensity models and data pipelines. Use platforms like GitHub to share your projects. This way, when you chat with potential employers, you can back up your claims with real examples of your work.
✨Tip Number 3
Prepare for those interviews! Research the company and its products, especially in the education segment. Be ready to discuss how your experience aligns with their needs, and think of questions that show your interest in their data strategies. We want to see you shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us. Let’s get you that dream job!
We think you need these skills to ace Senior Data Scientist - Propensity & Market Modelling - Global Tech in London
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 the existing model suite is Python-heavy, it’s crucial to demonstrate your proficiency. Include specific examples of how you've used Python in your previous roles to solve real-world problems.
Communicate Clearly:As a Senior Data Scientist, you'll need to present insights to non-technical stakeholders. Use your application to show us how you can communicate complex data concepts in a straightforward way.
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 this exciting opportunity!
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 Your Python and SQL Skills
Since the role is Python-heavy and requires advanced SQL skills, we suggest you review key concepts and be prepared to solve problems on the spot. Practising with large datasets will help you feel more confident during technical discussions.
✨Prepare for Stakeholder Communication
As a Senior Data Scientist, you'll need to present insights to senior commercial stakeholders. We recommend practising how to communicate complex data findings in a clear and engaging way, focusing on the business impact of your work.
✨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.
