At a Glance
- Tasks: Build and present data models 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: Exciting opportunity for career growth in a dynamic tech environment.
- Why this job: Make a real impact by influencing senior leadership decisions with your data insights.
- Qualifications: Strong Python and SQL skills, with proven experience in propensity modelling.
The predicted salary is between 75000 - 100000 € 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 - £100000 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 Slough employer: Principle
Join a globally recognised technology company that values innovation and data-driven decision-making in the education sector. With a strong focus on employee growth, we offer a collaborative work culture where your insights directly influence senior leadership and sales strategies. Enjoy competitive salaries, flexible working arrangements, and the opportunity to work with cutting-edge technologies in a dynamic environment located in Reading/London.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Propensity & Market Modelling - Global Tech in Slough
✨Tip Number 1
Network like a pro! Reach out to connections in the tech and education sectors. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your propensity models and data pipelines. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, as you'll need to impress non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist - Propensity & Market Modelling - Global Tech in Slough
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 Communication Skills:Since you'll be presenting insights to senior stakeholders, it’s crucial to demonstrate your ability to communicate complex data in a simple way. Use examples in your application that show how you've done this before.
Highlight Technical Proficiency:We’re looking for strong Python and SQL skills, so make sure these are front and centre in your application. If you’ve worked with Databricks or similar tools, give us the details!
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. Let’s get started on this journey together!
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, not just the theory behind them. This will show that you have practical knowledge and can apply it effectively.
✨Brush Up on Python and SQL
Since the role is Python-heavy and requires advanced SQL skills, we recommend reviewing your past projects and being prepared to discuss specific challenges you faced. Practise coding problems related to data manipulation and analysis to demonstrate your technical prowess.
✨Prepare for Stakeholder Communication
As a Senior Data Scientist, you'll need to present insights to senior commercial stakeholders. We suggest practising how to communicate complex data findings in a clear and engaging way. Think about how you can tailor your message to 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 markets. This will help you connect your data science skills to the company's goals.
