Pricing Data Analyst

Pricing Data Analyst

Location: UK, Remote First

Salary up to £70,000, depending on experience

We are working with a growing insurance business who are looking for a highly analytical Pricing Data Analyst to join a growing data and analytics Pricing Team. You will use statistical analysis, data science and modelling to support pricing decisions across the business.

The role will suit a Pricing Data Analyst with a strong mathematical or statistical background who enjoys solving commercial problems through data.

What you will be doing as their Pricing Data Analyst:

• Analyse pricing and insurance data to identify trends and opportunities.
• Develop statistical and predictive models to support pricing decisions.
• Analyse the impact of pricing changes.
• Support pricing and underwriting teams with data-driven insight.
• Build and improve data science models using Python.
• Work with large datasets and translate analysis into commercial recommendations.
• Support model development, testing and validation.
• Present findings and recommendations to technical and non-technical stakeholders.
• Work closely with the wider data, pricing and underwriting teams.

What we are looking for:

• Strong Python and SQL skills.
• Strong statistical and analytical ability, with experience with statistical modelling
• Pricing experience, ideally within insurance or financial services.
• Actuarial experience or progress towards actuarial exams would be highly relevant.
• Someone who thinks analytically and
• Strong mathematics and statistic skills.
• Communicates clearly with technical and non-technical stakeholders.
• Enjoys working collaboratively.

The team are remote first; however, you will still meet in person for workshops, training, team meetings and company-wide events when required. These sessions will typically take place around once to twice a month, depending on business requirements.

Travel and accommodation expenses will be covered where office attendance requires travel.

Salary up to £70,000, 28 days holiday + 8 bank holidays (36 total), 4pm finish on Fridays, annual training budget and clear progression opportunities, + much more!

If you're an experienced Pricing Data Analyst, apply today!