Pricing Analyst - Protect (South)

Tesco PLC; Reigate and Banstead; Hybrid; GBP 34,000; Full time

Job summary

A leading retail company is seeking a Pricing Analyst - Protect to join their team in Reigate. In this role, you will build pricing models and utilize data science tools to enhance insurance pricing strategies. The ideal candidate will have a degree in a numerical subject with strong skills in data analysis and knowledge of R and Python. This position offers a hybrid working model with two days in the office and the opportunity to contribute significantly to the business's success.

Benefits

Colleague pension scheme

Virtual GP Service

Performance-related annual bonus

Generous holiday allowance

10% discount through Colleague Clubcard

Enhanced maternity and paternity leave

Ongoing learning opportunities

Qualifications

• Strong record of educational attainment in a numerical subject.
• Highly computer literate; proficient in Excel and data analysis tools.
• Strong appetite and ability to research new modeling techniques.

Responsibilities

• Build pricing models and use Data Science tools to provide insights.
• Deliver high quality data analytical activities for pricing changes.
• Research and implement statistical analyses and machine learning.

Skills

Data analysis

Excel

R

Python

Customer centricity

Problem-solving

Education

Degree in a numerical subject with statistics

Tools

Data processing/modeling software

Job description

General information

Job Title: Pricing Analyst - Protect (South)
Reference #: 9346
Location: Reigate – The Omnibus Building, Lesbourne Road, Reigate, Surrey, RH2 7LD, United Kingdom
Department: Pricing (TU) Business Area: Pricing
Working time: Full Time
Publication Date: 15-09-2025
Closing Date: 16th January 2026 at 5pm
Salary: £33,040 + annual bonus & benefits
Work Level: 1 – Permanent role
Location: Reigate (blended working). Office Attendance: hybrid, travel to Reigate office 2 days per week.

About Tesco Insurance and Money Services

Serving our customers, communities, and planet a little better every day. 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. Whether we're helping our customers or looking after our people, you'll find there's a warmth and friendliness to everything we do.

Responsibilities

• 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.

Qualifications

• A strong record of education attainment with a degree in 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.
• Proven ability to solve business problems and overcome 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?

We also know the importance of balancing work with life's other commitments. We are committed to exploring part‑time and flexible working opportunities, at every level of the organisation.

Benefits

• 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.
• Indulge in a generous holiday allowance with a minimum of 7.2 weeks, with the opportunity to buy more.
• Benefit from our Colleague Clubcard, enjoy a 10% discount that increases to 15% every payday (worth up to £2K). As an added perk, we’ll give you a second card to share with someone else.
• Benefit from family‑oriented initiatives, including enhanced maternity leave pay, a shared parental leave policy, and a generous 8‑week paid paternity leave.
• Access ongoing learning opportunities and award‑winning training.
• Take part in our Buy as you Earn and Save as your Earn share schemes.