—
Senior Pricing Analyst (Retail Pricing – Personal Lines) Locations: Peterborough, Manchester, Stoke, Southport, Kent, London, Cambridgeshire Working style: Hybrid and largely remote options available Join a fast-paced, innovative Retail Pricing team where your modelling and analytical insight will directly shape pricing decisions and drive profitability across a broad personal lines portfolio. What you’ll be doing • Design and optimise pricing solutions aligned to commercial and customer outcomes • Build and enhance performance monitoring frameworks, risk models and MI • Deliver deep-dive analysis and predictive modelling to influence pricing decisions and tactical interventions • Partner with Underwriting, Technical Modelling and Data teams to deliver robust, scalable solutions • Champion continuous improvement, automation and pricing best practice • Support strategic initiatives and help embed changes into BAU • Coach and mentor junior analysts What we’re looking for • Proven experience in General Insurance Pricing (personal lines preferred) • Strong coding skills in Python, R, SQL, PySpark and/or SAS • Practical experience with modelling techniques such as GLMs, GBMs, Decision Trees, Neural Nets and Clustering • Experience with pricing tools such as WTW Radar and/or Emblem • Strong communication skills with the ability to translate analysis into clear commercial recommendations Why this role • High-impact work with real commercial visibility • Hybrid flexibility with multiple UK office bases • Supportive, collaborative team culture with strong development pathways Salary : Up to £65,000 p/a + Bonus + Benefits Location : Multiple office locations across UK. Hybrid & mostly remote. Sector : Home, Motor or Pet
| Skill | Source | Confidence |
|---|---|---|
| Python | llm_hard |
100%
|
| SQL | llm_hard |
100%
|
| R | llm_hard |
100%
|
| Clustering | llm_hard |
100%
|
| Decision Trees | llm_hard |
100%
|
| Neural Networks | llm_hard |
100%
|
| PySpark | llm_hard |
100%
|
| Skill | Source | Confidence |
|---|---|---|
| Coaching | llm_soft |
100%
|
| Collaboration | llm_soft |
80%
|
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| Senior Pricing Analyst | extracted | 3713 | 2026-03-22 01:15 | |
| Senior Pricing Analyst | classified | 439 | 2026-03-21 20:16 | |
| junior business analyst in Bristol | gb | processed | 10553 | 2026-03-21 16:16 |
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"job_description": "Senior Pricing Analyst (Retail Pricing – Personal Lines)\n\nLocations: Peterborough, Manchester, Stoke, Southport, Kent, London, Cambridgeshire\n\nWorking style: Hybrid and largely remote options available\n\nJoin a fast-paced, innovative Retail Pricing team where your modelling and analytical insight will directly shape pricing decisions and drive profitability across a broad personal lines portfolio.\n\nWhat you’ll be doing\n• Design and optimise pricing solutions aligned to commercial and customer outcomes\n• Build and enhance performance monitoring frameworks, risk models and MI\n• Deliver deep-dive analysis and predictive modelling to influence pricing decisions and tactical interventions\n• Partner with Underwriting, Technical Modelling and Data teams to deliver robust, scalable solutions\n• Champion continuous improvement, automation and pricing best practice\n• Support strategic initiatives and help embed changes into BAU\n• Coach and mentor junior analysts\n\nWhat we’re looking for\n• Proven experience in General Insurance Pricing (personal lines preferred)\n• Strong coding skills in Python, R, SQL, PySpark and/or SAS\n• Practical experience with modelling techniques such as GLMs, GBMs, Decision Trees, Neural Nets and Clustering\n• Experience with pricing tools such as WTW Radar and/or Emblem\n• Strong communication skills with the ability to translate analysis into clear commercial recommendations\n\nWhy this role\n• High-impact work with real commercial visibility\n• Hybrid flexibility with multiple UK office bases\n• Supportive, collaborative team culture with strong development pathways\n\nSalary : Up to £65,000 p/a + Bonus + Benefits\n\nLocation : Multiple office locations across UK. Hybrid & mostly remote.\n\nSector : Home, Motor or Pet",
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