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

Apply Now

Data Analyst / Actuarial Analyst

Acumen Group
London
10 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Operations Engineer – 11328SR

Machine Learning Engineer

Senior Data Scientist

Senior Data Scientist

Data Analyst

Data Analyst

Coding, Data Science and AI within the Actuarial Space


I am currently working with a very exciting client within the Reinsurance space, who are on the lookout for Actuaries with a keen interest inCoding and Data Science.


This is an ever-changing and evolving domain in the insurance industry, thus a strong interest and passion in these areas, as well as strong coding skillsheavily focused on Rare required.


Key Responsibilities:


  • Collaborate closely with Senior Members in Model Development using R.
  • Streamline existing processes using automation techniques
  • Assess and contrast various reinsurance tactics
  • Create stochastic models and carry out reinsurance optimization evaluations.
  • To report findings, interpret outcomes, and/or offer recommendations, analyse, summarize, and/or examine data.
  • Provide clients with tools to track and assess trends in risk and claims.
  • Communicate effectively with reinsurers and insurers, and ensure that information is sent to the right internal and external channels for action


If you are currently working in a role where your skills aren't being utilized then now is the time to explore options where you can become a leader in this exciting space.


Please reach out to with your cv and contact details to learn more.

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.