At a Glance
- Tasks: Develop pricing models and data science solutions while analysing complex datasets.
- Company: Dynamic company in Leeds promoting inclusivity and innovation.
- Benefits: Competitive salary, generous pension, private medical cover, and flexible working.
- Other info: Join a culture that values diversity and supports your wellbeing.
- Why this job: Make a real impact with data-driven insights in a collaborative environment.
- Qualifications: Strong analytical skills and experience with coding and large datasets.
The predicted salary is between 35000 - 50000 £ per year.
Location: Leeds (Hybrid – 2 days per week on site)
Contract: Permanent
Working Pattern: Full Time
Salary: £35,000 - £50,000 (DOE)
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
- Advanced Excel skills (modelling, pivots, VBA)
- 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 of 20% based on performance)
- 11% pension contribution (3% from you, 8% from us – optional additional matched 3% contributions)
- 25 days annual leave
- Flexible public holidays and option to buy/sell additional leave
- Private Medical Cover
- Salary Sacrifice scheme
- 6x salary death in service
- Holistic health and wellbeing support package
- Truly flexible hybrid‑working arrangement
- Culture that promotes inclusivity, wellbeing and rewards hard work
We welcome applicants from all backgrounds and encourage you to apply even if you feel you do not match 100% of the technical requirements. We celebrate diversity, promote inclusivity and strive to create a work environment which ensures everyone can be heard.
Pricing and Data Science Analyst (UK&I) in Leeds employer: Medical Protection Society
As a Pricing and Data Science Analyst at our Leeds location, you will join a dynamic team that values inclusivity and innovation, offering a hybrid working model that promotes work-life balance. With competitive benefits including a generous pension scheme, private medical cover, and a culture that prioritises employee wellbeing and growth, we are committed to fostering an environment where your contributions are recognised and rewarded. Join us to leverage your analytical skills in a role that not only challenges you but also supports your professional development in a collaborative setting.
Contact Details:
Medical Protection Society Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Pricing and Data Science Analyst (UK&I) 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 put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real-life examples from your experience with data science and pricing models to demonstrate your expertise.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for roles that excite you and fit your skill set – we’re all about finding the right match!
✨Tip Number 4
Follow up after interviews with a thank-you note. It shows your enthusiasm and keeps you fresh in their minds. Plus, it’s a great chance to reiterate why you’re the perfect fit for the Pricing and Data Science Analyst role!
We think you need these skills to ace Pricing and Data Science Analyst (UK&I) in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Pricing and Data Science Analyst role. Highlight your analytical skills, coding capabilities, and any relevant projects you've worked on. We want to see how you can bring value to our team!
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, and how your background makes you a great fit for us. Don’t forget to mention specific examples of your work with large datasets or predictive modelling techniques.
Showcase Your Technical Skills:Since this role requires advanced Excel skills and coding knowledge, make sure to include these in your application. If you’ve used SQL, Python, or R in past projects, let us know! We love seeing practical applications of your technical expertise.
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, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Medical Protection Society
✨Know Your Numbers
As a Pricing and Data Science Analyst, you'll be dealing with complex datasets. Brush up on your numerical skills and be ready to discuss how you've used data to inform pricing decisions in the past. Prepare examples that showcase your analytical thinking and problem-solving abilities.
✨Master the Tech
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 applied these skills, especially in predictive modelling. If possible, practice explaining technical concepts in simple terms, as you'll need to communicate with non-technical stakeholders.
✨Showcase Your Collaboration Skills
This role involves working with cross-functional teams, so think of examples where you've successfully collaborated with others. Highlight any experience you have in productionising models or delivering system changes, as this will demonstrate your ability to work effectively in a team environment.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your ability to monitor portfolio performance and identify trends. Think about how you would approach analysing key KPIs and what steps you would take to optimise pricing strategies. Being able to articulate your thought process will impress the interviewers.
