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

Apply Now

Underwriting Data Analyst

Gravitas Recruitment Group (Global) Ltd
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst - Chelmsford

Data Science Analyst

Pricing Data Scientist

Lead Pricing Data Scientist

Senior Data Scientist

Data Scientist

Gravitas Group is Hiring: Underwriting Data Analyst

Location: London (Hybrid)

Employment Type: Permanent

Industry: Insurance

Salary: Up to £60,000 pa + Benefits


Gravitas Group is recruiting on behalf of a leading insurance organisation for an Underwriting Data Analyst. This is a fantastic opportunity for a data-driven professional to play a key role in shaping underwriting and portfolio management decisions through high-impact reporting and dashboard development.


About the Role


As an Underwriting Data Analyst, you’ll be responsible for developing and managing reporting tools that enable stakeholders to assess underwriting performance. Your work will directly support leadership, underwriting franchises, and central functions in making informed, data-led decisions.


Key Responsibilities

  • Develop new underwriting dashboards for leadership and key stakeholders
  • Maintain and enhance existing dashboards to ensure accuracy and relevance
  • Own documentation for dashboard development, data sources, quality checks, and publishing processes
  • Manage and automate dashboard quality control (QC) processes
  • Make approved changes to internal databases to support dashboard development, following governance protocols
  • Automate recurring outputs for portfolio management, including board-level reporting
  • Maintain and prioritise the Portfolio Management team’s project pipeline
  • Represent the team in IT and BI prioritisation forums to ensure strategic alignment


Skills & Experience

  • Strong problem-solving skills
  • Proven experience with SQL, Power BI, and Microsoft Excel
  • Excellent communication skills, with the ability to simplify complex analytics for senior stakeholders
  • Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Analytics, Mathematics)
  • Experience in the insurance or Lloyd’s market
  • Familiarity with IT change control processes
  • Master’s or PhD in a quantitative discipline (preferred)


What’s on Offer

  • A chance to work with a forward-thinking insurance organisation
  • Direct exposure to senior leadership and strategic decision-making
  • A collaborative, data-driven team environment focused on innovation and automation

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.

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.

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.

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.