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
8 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Operations Engineer

Data Science Manager

Data Analyst (Data Science team)

Data Scientist - Collections Analytics

Data Scientist - Collections Analytics

Data Scientist | Up to £60,000 | Learn Snowflake + DBT | Edtech

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.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

🍪 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.