National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Junior Data Scientist

Reigate
1 week ago
Create job alert

Company Description

Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good!

We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold commitment for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future.

Job Description

We have a great opportunity for a highly motivated individual to join our team. We currently have an outstanding Data Science department, who produce significant results across the business. We are now seeking a Junior Data Scientist to become part of this successful team.

The successful individual will be highly ambitious, motivated, and eager to upskill while learning from the wider team. As a Junior member of the team, you will be supported as you lead all aspects of end to end projects from ideation through to production deployment, working on various models across Pricing, Fraud and Claims.

What you'll do:

Collaborate with business partners to improve processes using new data and sophisticated ML techniques.
Manage projects from inception to deployment, including benefit assessment.
Collaborate with DevOps and Data Engineers to deploy ML models on AWS.
Develop Python code adhering to standard processes, CI/CD, and test coverage.

Qualifications

We’d love you to bring:

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,
Ability to deliver projects on time, taking project briefs and refining them to strong results.
Exposure to Python data science stack
Knowledge and working experience of AGILE methodologies.
Proficient with SQL.
Familiarity with Databricks, Spark and geospatial data/modelling are a plus.Interview process: Subject to change 

  1. 15minute conversation with Talent Team 

  2. 30minute interview with hiring manager 

  3. You'll be given 1 week to complete a Data Science task; then present this task back in a 2 hour final stage interview conisting of 1 hour of presenting and 1 hour of standard interview questions. 

    Additional Information

    What’s in it for you?:

    Competitive salary that reflects your skills, experience and potential.
    Discretionary bonus scheme that recognises your hard work and contributions to esure’s success.
    25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday.
    Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances.
    Company funded private medical insurance for qualifying colleagues.
    Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members.
    We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources.
    Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities.
    Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues.
    We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.
    And much more; See a full overview of our benefits here

Related Jobs

View all jobs

Data Science Placement Programme

Data Science Placement Programme

Data Science Placement Programme

Data Science Placement Programme

Data Science Placement Programme

Data Science Placement Programme

National AI Awards 2025

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 Get a Better Data Engineering Job After a Lay-Off or Redundancy

Redundancy can be unexpected and unsettling, especially in a field as technically demanding as data engineering. But the good news is: your skills are still in high demand. The UK continues to see strong growth in data infrastructure, cloud analytics, machine learning pipelines, and data governance roles. Whether you're a big data engineer, ETL specialist, cloud data platform expert, or someone working in real-time streaming and pipelines, there are new opportunities to rebuild and rebrand your career. This guide is designed to help UK-based data engineers bounce back after a redundancy, with a step-by-step roadmap to relaunch into a stronger, better-aligned role.

Data Engineering Jobs Salary Calculator 2025: Work Out Your True Worth in Seconds

Why last year’s pay survey misleads data engineers today Ask any Data Engineer elbow‑deep in late‑arriving CDC streams, an Analytics Engineer stockpiling dbt models, or a DataOps Lead juggling Airflow failures: “Am I earning what I deserve?” The answer changes monthly. New GPU‑hungry AI workloads spike storage costs, lakehouse toolchains displace legacy marts, & suddenly real‑time streaming isn’t “nice to have” but the lion’s share of your backlog. Each shift nudges salary bands. A PDF salary guide printed in 2024 under‑reports pay the moment Databricks announces another acquisition or HMRC mandates digital provenance. To provide an up‑to‑date benchmark, DataEngineeringJobs.co.uk distilled a transparent, three‑factor formula. Plug in your discipline, UK region, & seniority; out pops a realistic 2025 salary. No stale averages, no guesswork. This article unpacks the formula, details the forces pushing data‑engineering pay upward, & offers five practical actions to lift your value in the next ninety days.

How to Present Data Engineering Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

As the demand for data engineers grows, so do the expectations. It’s not enough to build robust pipelines or optimise ETL jobs—UK employers now look for candidates who can also communicate clearly with stakeholders, especially those without technical backgrounds. Whether you're applying for a data engineering role in finance, healthcare, retail, or tech, your ability to explain complex systems in plain English is becoming one of the most valued soft skills in interviews and in the workplace. This guide will help you master public speaking for data engineering roles: from structuring your presentation and designing effective visuals, to simplifying terminology, storytelling and confidently answering stakeholder questions.