Senior Pricing & Data Science Analyst in Leeds

Senior Pricing & Data Science Analyst in Leeds

Leeds Full-Time 50000 - 60000 £ / year (est.) No working from home possible
Medical Protection Society

At a Glance

  • Tasks: Lead complex pricing and analytical solutions for the UK & Ireland portfolio.
  • Company: Dynamic company focused on data-driven decision-making and inclusivity.
  • Benefits: Competitive salary, bonus potential, generous pension, and 25 days annual leave.
  • Other info: Flexible hybrid working and a culture that values diversity and wellbeing.
  • Why this job: Make a real impact with advanced analytics and pricing strategies in a supportive environment.
  • Qualifications: Strong numerical background with experience in pricing, data science, and analytics.

The predicted salary is between 50000 - 60000 £ per year.

The Senior Pricing and Data Science Analyst will lead the delivery of complex, system-driven pricing and analytical solutions across our UK & Ireland portfolio. This role combines advanced modelling, pricing expertise, and oversight of pricing systems to shape strategy, strengthen governance, and enhance analytical capability. Operating with a high degree of autonomy, you’ll own end-to-end initiatives, influence senior stakeholders, and provide technical leadership and mentorship across the function.

Responsibilities

  • Develop and enhance pricing models, emulators, and analytical tools to deliver accurate, robust, and explainable outputs.
  • Lead system-driven pricing initiatives, working cross-functionally to productionise models and implement changes safely and efficiently.
  • Deliver clear, impactful insights and pricing recommendations to senior stakeholders and governance forums.
  • Own renewal performance monitoring, providing detailed analysis against key KPIs and supporting performance tracking.
  • Build and maintain pricing insight tools to support operational teams and inform delegated authorities.
  • Analyse pricing variance and collaborate with underwriting to guide discount strategy and governance.
  • Design tools and frameworks to support pricing decisions for high-value and high-risk segments.
  • Apply advanced analytics, including elasticity modelling, to inform pricing strategy and planning.
  • Partner with underwriting and commercial teams throughout planning cycles to enable data-driven decisions.
  • Provide technical mentorship and support to junior analysts, contributing to overall team capability.

Qualifications

  • Strong numerical degree (or equivalent experience) with significant experience in pricing, data science, analytics, or a related field.
  • Strong understanding of pricing, analytics, and data science principles, with proven application in a commercial environment.
  • Advanced Excel skills (modelling, pivots, VBA) and strong SQL capability, with experience working with large, complex datasets.
  • Experience developing pricing systems, emulators, or analytical tools.
  • Experience with statistical and predictive modelling techniques (e.g. regression, GLMs), or a strong interest in developing expertise in these areas.
  • Good understanding of governance, model risk, and change control within a regulated environment.
  • Proven ability to influence senior stakeholders and present effectively at governance forums.
  • Demonstrated commitment to continuous professional development.

We welcome applicants from all backgrounds, and we 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.

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.

Senior Pricing & Data Science Analyst in Leeds employer: Medical Protection Society

As a Senior Pricing & Data Science Analyst at our Leeds location, you'll join a dynamic team that values inclusivity and professional growth. We offer a flexible hybrid working arrangement, competitive benefits including a generous pension contribution and private medical cover, and a culture that rewards hard work while promoting wellbeing. With opportunities for mentorship and influence over strategic pricing initiatives, this role is perfect for those seeking meaningful and rewarding employment in a supportive environment.

Medical Protection Society

Contact Details:

Medical Protection Society Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Pricing & Data Science Analyst in Leeds

Tip Number 1

Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Prepare for interviews by practising common questions and showcasing your analytical skills. We recommend using real-world examples from your experience to demonstrate your expertise.

Tip Number 3

Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation and reiterate your interest in the role.

Tip Number 4

Apply through our website for the best chance! We love seeing candidates who take the initiative to engage directly with us. Plus, it shows you’re genuinely interested in joining our team.

We think you need these skills to ace Senior Pricing & Data Science Analyst in Leeds

Advanced Modelling
Pricing Expertise
Analytical Tools Development
System-Driven Pricing Initiatives
Performance Monitoring
KPI Analysis
Elasticity Modelling

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the role of Senior Pricing & Data Science Analyst. Highlight your experience with pricing models and data analytics, and don’t forget to mention any relevant tools you’ve used like Excel and SQL.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've influenced stakeholders or led projects in the past, and show us your passion for data science.

Showcase Your Analytical Skills:In your application, be sure to highlight your analytical prowess. Discuss any advanced modelling techniques you’ve used and how they’ve impacted pricing strategies. We want to see your ability to turn complex data into actionable insights!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at Medical Protection Society

Know Your Numbers

As a Senior Pricing & Data Science Analyst, you'll need to demonstrate your strong numerical skills. Brush up on your advanced Excel and SQL capabilities before the interview. Be ready to discuss specific examples of how you've used these tools to develop pricing models or analyse complex datasets.

Showcase Your Analytical Mindset

Prepare to talk about your experience with statistical and predictive modelling techniques. Think of a project where you applied these methods to inform pricing strategies. Being able to explain your thought process and the impact of your analysis will impress the interviewers.

Engage with Stakeholders

This role involves influencing senior stakeholders, so practice articulating your insights clearly and confidently. Prepare examples of how you've successfully communicated complex data-driven recommendations in the past. This will show that you can bridge the gap between technical analysis and business strategy.

Emphasise Team Collaboration

Since you'll be working cross-functionally, highlight your experience collaborating with different teams, especially underwriting and commercial teams. Share instances where your teamwork led to successful outcomes, demonstrating your ability to contribute to a cohesive work environment.