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

Apply Now

Data Science Manager (Remote)

Xcede
London
1 day ago
Create job alert

Senior Data Scientist Office x4 days a week

This is an opportunity to join one of the most innovative firms in the global insurance market, specialising in climate-related parametric risk. Backed by world-leading (re)insurers and operating in over 15 countries, this company merges actuarial science, data science, and cutting-edge technology to address complex climate risk exposures for corporates and governments.

Following a $100M+ Series B and full-stack insurance licensing, they are expanding their London presence. As a Senior Scientist, youll operate at the intersection of data, modelling, and market strategy, supporting bespoke coverage for weather-related events. Youll collaborate with commercial, technical, and research teams to shape tailored, data-led insurance products for clients worldwide.

Underwrite parametric insurance policies with a deep understanding of client needs and climate risk exposures
Develop and improve pricing models to monitor risk and portfolio performance
Collaborate with R&D, legal, and operations to ensure smooth execution and compliance
Provide technical oversight for Underwriting Data Scientists and contribute to strategy development
Produce high-quality insurance proposals and policy documentation

4+ years experience in a data science, actuarial, or underwriting environment
~ Proficiency in Python (e.g. pandas, scikit-learn) and comfort with statistical modelling
~ Interest or prior experience in parametric insurance and/or climate risk modelling
~ Track record of managing technical projects or small teams is a plus
~

Related Jobs

View all jobs

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

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.

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.