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

Apply Now

Data Analyst

Accelerant
united kingdom, united kingdom, united kingdom
6 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst – Insurance & Actuarial Focus

Location:United Kingdom

Level:Mid-Senior Level


Accelerant is looking for a detail-drivenData Analystwith a passion for data and a strong background ininsurance analyticsto join their dynamic, collaborative team. If you thrive on solving complex data problems and want to make a real impact in a fast-paced, tech-forward insurance environment, I’d love to hear from you.


This role is particularly well-suited to someone with prior experience in the insurance sector — ideally in actuarial pricing.A deep understanding of insurance data, pricing models, and portfolio analysis will set you up for success.


Your Role at Accelerant

You’ll work at the heart of their data operations, helping to shape the future of insurance through smarter data use. Your main responsibilities will include:


  • Partnering with business and underwriting teams to understand data needs, with a focus oninsurance and pricing data.
  • Developing rapid data prototypes to support actuarial and product engineering design.
  • Conducting in-depth analysis on member and portfolio data, including profiling, gap analysis, and quality assessment.
  • Supporting pricing initiatives and product development with reliable, accurate data insights.
  • Building and optimizing data pipelines that feed critical actuarial and underwriting tools.
  • Leading efforts to identify, track, and resolve data quality issues — especially those affecting actuarial pricing.
  • Creating automated data workflows to streamline reporting and analytics.
  • Constantly seeking ways to improve data processes, tools, and output quality.


What You Bring

  • A degree in a quantitative field (e.g. Statistics, Mathematics, Computer Science, or Actuarial Science).
  • Proven experience in the insurance industry — actuarial pricing experience is highly preferred.
  • Hands-on experience with SQL and/or Python.
  • Strong analytical skills, with a love for problem-solving and pattern-finding.
  • Excellent communication skills, with the ability to tailor insights to technical and non-technical audiences.
  • A high level of precision and dedication to data integrity.


Who You Are

  • Comfortable navigating insurance datasets, actuarial models, and pricing frameworks.
  • Proactive and resourceful — especially in Agile environments.
  • Curious, detail-obsessed, and passionate about using data to drive better decisions.
  • A strong collaborator who thrives in cross-functional teams.


Join Accelerant in redefining the way modern insurance works — with smarter pricing, cleaner data, and faster decision-making.


If interested, please press apply or send your CV to .

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 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.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 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.