Pricing Analyst - Protect (South)

Tesco Insurance; Reigate; Hybrid; GBP 34,000; Full time

Job summary

A leading insurance provider in Reigate is seeking a data analyst to build pricing models and deliver data-driven insights. You will utilize tools such as R and Python, and need a strong educational background in a numerical subject. The role offers a hybrid work model with excellent benefits, including a performance-related annual bonus and generous holiday allowance. You will also have opportunities for personal development and training. Join us to make a meaningful impact in the insurance market.

Benefits

Pension scheme

Performance-related annual bonus

Generous holiday allowance

10% discount on shopping

Enhanced maternity/paternity leave

Qualifications

• Strong record of educational attainment in a numerical subject.
• Highly computer literate, skilled in data analysis software.
• Ability to research and apply new modelling techniques.

Responsibilities

• Build pricing models and utilise Data Science tools.
• Deliver high quality data analytical activities.
• Communicate results effectively to stakeholders.

Skills

Data analysis

Statistical modelling

Customer service

Research

Team collaboration

Education

Degree in a numerical subject with statistics (2.1 classification)

Tools

Excel

R

Python

Job description

Serving our customers, communities, and planet a little better every day.

Salary – £33,040 + annual bonus & benefits

Work Level – 1

Permanent role

Location – Reigate (blended working)

Office Attendance – Hybrid; travel to our Reigate office 2 days per week

Closing Date for applications – 16th January 2026 at 5pm.

We deal in the personal – from pet insurance for your best friend, and home insurance for peace of mind, to motor insurance for your dream car or travel money for that trip you’ve worked hard for. And that means we always work with heart.

What you’ll be doing

• Building pricing models and utilising Data Science tools to provide insight into insurance risk.
• Delivering high quality data analytical activities to support pricing changes and business opportunities.
• Proactively researching and implementing the use of new statistical analyses, machine learning and automation to improve processes.
• Communicating the results of the modelling and analytical work effectively in non‑technical language to peers and stakeholders.
• Monitoring the business performance across our products and highlighting opportunities off the back of this.
• Keeping knowledge and skills up to date and driving your own personal development.

We need you to have (min experience)

• A strong record of education attainment with a degree in a numerical subject with statistics – ideally a 2.1 classification.
• Highly computer literate; able to use Excel and other common data analysis and data processing/modelling software.
• Strong appetite and ability to research new modelling techniques using a range of tools, including R and Python.
• Good organisational skills; able to deliver tasks within agreed timescales. Ability to work as part of a team; fostering positive relationships and providing mutual support and guidance.
• Highly customer centric; focused on the delivery of high levels of customer service.
• Some knowledge or interest of the UK personal lines insurance market.

And if you have any of these, even better.

• Proven ability to solve business problems and overcoming obstacles to find effective business solutions.
• Ability to explain complex analysis clearly, avoiding the use of jargon and acronyms and able to communicate the material financial implications of modelling and analysis decisions.
• Appropriately balance statistical accuracy with financial materiality.
• Able to apply judgement where data may be sparse or insufficient in quality or where considerable uncertainty surrounds the range of potential outcomes.
• Self‑motivated, able to work with minimum supervision.

What’s in it for you?

• Prepare for your retirement with our colleague pension scheme.
• Virtual GP Service for you and your family 365 days a year.
• Performance‑related annual bonus.
• Generous holiday allowance with a minimum of 7.2 weeks, with the opportunity to buy more.
• Colleague Clubcard with a 10% discount that increases to 15% every payday (worth up to £2K). A second card is provided to share.
• Family‑oriented initiatives: enhanced maternity leave pay, shared parental leave policy, and a generous 8‑week paid paternity leave.
• Training and learning opportunities to help you achieve your career goals.
• Participation in Buy‑as‑you‑Earn and Save‑as‑you‑Earn share schemes.

Additional Information

We also know the importance of balancing work with life’s other commitments. Please talk to us at interview about the flexibility you need, as we’re committed to exploring part‑time and flexible working opportunities, at every level of the organisation.

Interviews commencing on Jan 2026.