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

Apply Now

Data Scientist

esure Group
Reigate
1 week ago
Create job alert

Company Description


Here at esure, we’re no strangers to change. As one of the industry leaders in the insurance business, striving to become a world class digital insurer, we’re getting ready for more. It’s creating great new opportunities for innovative and talented industry professionals to join us at a pivotal point in our development.


Job Description

We have an excellent opportunity for a motivated and ambitious individual to join our join and work to improve the profitability of the company through new data sources and advanced modelling techniques. This role is an end-to-end data science role spanning the entire AI lifecycle from ideation through to production deployment of models as well as measuring benefit via A/B testing


What you'll do:


  • Collaborate with business partners to enhance processes using new data and sophisticated ML techniques.
  • Manage projects from inception to deployment, including benefit assessment.
  • Uphold and improve standards for code quality, R&D, and model development.
  • Collaborate with DevOps and Data Engineers to deploy ML models on AWS.
  • Provide mentorship to peers and partners on potential actions and impacts.
  • Develop Python code adhering to standard processes, CI/CD, and test coverage.


We strongly encourage anyone with the below to apply:

  • You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences.
  • You thrive in working autonomously to drive impact in a fast-paced cross-functional business.
  • PhD or MSc or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar
  • Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting,
  • Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results.
  • Experienced in engaging with non-technical partners to scope, design and build an appropriate ML solution.
  • Proficient with Python data science stack
  • Knowledge of OO programming, software design, i.e., SOLID principles, and testing practices.
  • Knowledge and working experience of AGILE methodologies.
  • Proficient with SQL.
  • Familiarity with Databricks, Spark, geospatial data/modelling and insurance are a plus.
  • Exposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc are desirable


We’ll help you gain

  • Experience working in a high-performance environment where collaboration and business impact are BAU.
  • Experience in a wide breath of techniques covering NLP through to causal inference.
  • Exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry.


Why choose us?

This is your opportunity to be at the forefront of our game-changing journey and be part of something truly special! And to top it off, here are some perks to life at esure…

  • A competitive salary that recognises your skills and potential
  • A bonus scheme that celebrates your contribution to esure’s success
  • Discounts on our insurance products, for you and your family
  • 25 days annual leave, plus 8 flex days to be taken as and when suits you
  • Benefits just for you: our hub – My Benefits Box – is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances.
  • Grow your career with us: whatever your goals, we’ll support you with hands-on training, mentoring, a LinkedIn Learning licence, access to our exclusive Academies, regular career conversations, and expert partner resources from the likes of Women in Data and Women in Tech.
  • Join our communities: our networks give you the chance to connect, learn and share with like-minded colleagues across the business – for work and play. So, it’s no surprise our people consistently rate ‘making friends at work’ one of the highest scorers in our colleague engagement survey
  • More flexibility for you: we’re a proud supporter of the ABI’s Make Flexible Work campaign and welcome you to ask about the flexibility you need,.
  • Live a healthy lifestyle: we offer lots of support, so you feel like the best version of yourself – like specialist advice through our employee assistance programme, wellbeing classes, access to the My Health Advantage app, our Big Team Challenge, and learning sessions on topics like menopause.
  • A helping hand to do your bit for a greener and safer world: driving good in the world couldn’t be more important to us. That’s why we encourage colleagues to use volunteering days to support their local communities and have lots of initiatives to help you live a greener lifestyle.
  • Everyday appreciation: praise from your colleagues means the world! Our social recognition tool makes it easy to give colleagues the praise they deserve, and you could even be shortlisted for a company-wide ACE Award.


We understand some people may not apply for jobs unless they tick every box. If you are excited about joining us and think you have some of what we are looking for, even if you’re not 100% sure we would love to hear from you.

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Tax & Legal

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.