Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Pricing Data Science Manager

Arthur
Birmingham
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Home Insurance

Senior Data Scientist

Senior Data Scientist

Lead Data Scientist

Senior Machine Learning Scientist (Viator)

Lead Pricing Data Scientist

Overview

A global leading insurer is looking for a commercially minded and analytically driven Pricing Actuary/Pricing Data Science Lead to join their growing commercial lines pricing function. This senior position is pivotal in steering their pricing strategy and driving portfolio performance across multiple lines of business – including Property, Casualty, Financial Lines and Commercial Motor.


You’ll lead a team of 8 (2 direct reports), collaborating closely with underwriting, actuarial and senior leadership to ensure our pricing remains both competitive and profitable.


You’ll find a supportive, inclusive and empowering culture where ideas are valued, individuality is celebrated, and innovation is encouraged.


Role Summary

  • Lead, mentor, and develop a team of pricing and portfolio analysts
  • Drive data-led pricing strategy and model development across key lines of business
  • Analyse performance and market trends to recommend pricing improvements
  • Collaborate with underwriters to align pricing tools with commercial strategy
  • Champion innovation, data science, and automation within pricing

Requirements

  • Proven experience in general insurance pricing
  • Experience in Property and Casualty
  • Some experience in motor (commercial or personal lines) is advantageous
  • Strong leadership and stakeholder engagement skills
  • Expertise in pricing tools and data platforms (SQL and Python)
  • Strategic mindset with commercial and regulatory awareness

Benefits

  • Hybrid environment with exceptional benefits, including:
  • 30 days holiday (plus option to buy 2 more)
  • Annual bonus
  • Flexible working arrangements
  • 10% employer pension contribution
  • Fully funded private medical cover for you and your family
  • 26 weeks’ full parental pay for all parents
  • Option to work remotely abroad for up to 20 days a year
  • Cycle-to-Work scheme and sustainable pension investing


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.