At a Glance
- Tasks: Develop pricing models and data science solutions to drive data-led insights.
- Company: Join a forward-thinking company focused on sustainable growth and member outcomes.
- Benefits: Enjoy a competitive salary, generous pension contributions, and flexible working arrangements.
- Other info: Embrace a culture of inclusivity and wellbeing with excellent career development opportunities.
- Why this job: Make an impact by optimising pricing strategies and collaborating with diverse teams.
- Qualifications: Strong analytical skills and experience with coding and large datasets required.
The predicted salary is between 40000 - 50000 £ per year.
Location: Leeds (Hybrid – 2 days per week on site)
Contract: Permanent
Working Pattern: Full Time
We’re looking for a Pricing & Data Science Analyst to join our team and help deliver data-driven pricing, modelling, and analytical solutions across our UK & Ireland portfolio. This role offers the opportunity to work across the full pricing lifecycle — from data extraction and modelling through to implementation and monitoring — supporting sustainable growth, strong underwriting performance, and excellent member outcomes.
Responsibilities
- Develop and maintain pricing models, data science solutions, and pricing systems (including emulators)
- Extract, analyse, and interpret membership, claims, and financial data to inform pricing decisions
- Support technical and retail pricing activities, including subscription setting and pricing reviews
- Deliver clear, data-led insights and recommendations to pricing and governance forums
- Monitor portfolio and model performance, identifying risks, trends, and opportunities for optimisation
- Produce monthly renewal monitoring and performance analysis across key KPIs
- Build and maintain pricing tools to support underwriting decisions and delegated authority frameworks
- Apply predictive modelling techniques (e.g. GLMs) to enhance pricing accuracy and insight
- Collaborate with cross-functional teams to productionise models and deliver system changes
- Support transformation initiatives and the development of future pricing frameworks and capabilities
Qualifications
- Strong numerical degree (or equivalent analytical experience)
- Solid understanding of pricing, analytics, and data science principles
- Experience working with large, complex datasets
- Coding capability (SQL, Python, R, or SAS)
- Knowledge of statistical and predictive modelling techniques
- Strong analytical thinking and problem-solving skills
- Ability to communicate complex technical concepts to non-technical stakeholders
- Experience delivering pricing or analytics work in a commercial or regulated environment
Benefits
- Discretionary on-target bonus of 10%. Up to a max 20% based on performance
- 11% pension contribution (3% from you, 8% from us – optional additional matched 3% contributions, e.g. 6% from you, 11% from us)
- 25 days annual leave. Flexible public holidays and option to buy/sell additional leave
- Private Medical Cover
- Car Salary Sacrifice scheme
- 6x salary death in service
- Holistic health and wellbeing support package
- A truly flexible hybrid-working arrangement
- A culture that promotes inclusivity, wellbeing and rewards hard work
Pricing & Data Science Analyst in Leeds employer: Medical Protection Society
Join a forward-thinking company in Leeds as a Pricing & Data Science Analyst, where you will thrive in a culture that values inclusivity and wellbeing. With a strong focus on employee growth, you will have the opportunity to develop your skills in data-driven pricing and analytics while enjoying a competitive benefits package, including a generous pension contribution and flexible working arrangements. This role not only offers meaningful work but also supports your professional development in a collaborative environment.
Contact Details:
Medical Protection Society Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Pricing & Data Science Analyst in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real-life examples from your experience to demonstrate how you’ve tackled challenges in pricing and data science.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications with a friendly email. It shows your enthusiasm and keeps you on their radar. Plus, it’s a great way to ask about the next steps.
✨Tip Number 4
Check out our website for the latest job openings. We’re always looking for talented individuals like you to join our team. Apply directly through us for a better chance of landing that dream role!
We think you need these skills to ace Pricing & Data Science Analyst in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Pricing & Data Science Analyst. Highlight your experience with data extraction, modelling, and any relevant coding skills. We want to see how your background 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 pricing and data science. Share specific examples of your work that demonstrate your analytical thinking and problem-solving skills. We love a good story!
Show Off Your Technical Skills:Don’t forget to mention your coding capabilities in SQL, Python, R, or SAS. If you've worked with large datasets or applied predictive modelling techniques, let us know! We’re keen to see how you can contribute to our data-driven approach.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Medical Protection Society
✨Know Your Numbers
As a Pricing & Data Science Analyst, you'll be dealing with complex datasets and pricing models. Brush up on your numerical skills and be ready to discuss how you've used data to drive decisions in the past. Prepare examples that showcase your analytical thinking and problem-solving abilities.
✨Master the Tech Stack
Familiarise yourself with the coding languages mentioned in the job description, like SQL, Python, or R. Be prepared to talk about specific projects where you’ve applied these skills, especially in predictive modelling. If possible, practice coding problems related to data extraction and analysis to demonstrate your technical prowess.
✨Communicate Clearly
You’ll need to explain complex concepts to non-technical stakeholders, so practice simplifying your explanations. Think of ways to present your past work in a way that highlights your ability to deliver clear, data-led insights. Use visuals or analogies if it helps convey your points more effectively.
✨Show Your Collaborative Spirit
This role involves working with cross-functional teams, so be ready to share experiences where you’ve successfully collaborated with others. Highlight any transformation initiatives you’ve been part of and how you contributed to developing new frameworks or capabilities. Teamwork is key, so let your collaborative nature shine through!
