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

Apply Now

Senior Risk Modelling Data Scientist

Direct Line Insurance Group plc
City of London
5 days ago
Create job alert
Overview

DLG is evolving. Across every facet of our business, our teams are embracing new opportunities and putting customers at the heart of everything they do. By joining them, you'll have the opportunity to not just be recognised for your skills but encouraged to build upon them and empowered to do your absolute best.

Pricing and Underwriting is a complicated world, where historical data, geospatial information, and mathematical models meet talented analysts. Pricing our products is a fine line between balancing our business goals and customer needs. That's why our Pricing Practitioners, Data Scientists and Underwriters are the best of the best. They reduce risk and predict future events ensuring our business can continue to grow whilst each and every one of our consumers gets the best price.

What you'll be doing

Join us as a Data Scientist in our Motor Manufacturing Tribe. This role will sit in the Motor Risk Modelling Team and will work collaboratively with others across Motor Risk and Retail Pricing, as well as colleagues in Underwriting, Trading and Finance teams.

What you'll be doing: We'll utilise your skills where they are most needed whilst also giving you an opportunity to build and grow the breadth of your expertise. There will be scope to soak up new experiences and most importantly you'll positively influence and shape what we do - making an impact on our customers lives.

In this role, you will play a crucial part in developing our underlying core risk models by utilising data science techniques to ensure our competitiveness and profitability in a challenging marketplace. You will collaborate with cross-functional teams to analyse data, assess risk, and support business decisions through quantitative insights.

Your job responsibilities may include:

  • In depth analysis of large datasets utilising a combination of SQL, Python and Radar.
  • Sharing any insights from this analysis both within and outside of the team. Including presenting to stakeholders from various business areas.
  • Interacting with our deployment team to support the release of pricing changes.
  • Mentoring and Support to more junior colleagues.

You'll report to a Band 5 Pricing Practitioner, and work alongside a team of experienced colleagues; between us we hold a breadth of experience across the industry, but we're always open to new approaches.

Our hybrid model offers a 'best of both worlds' approach. When you'll be in the office depends on your role and team, but colleagues spend at least 2 days a week in the office

What you'll need
  • Previous experience in using data science techniques to analyse large datasets.
  • Excellent problem-solving skills, with an ability to consider multiple scenarios, understand the needs and anticipate outcomes for the customers.
  • Experience using SQL & Python
  • Strong stakeholder management, communication and presentation skills, with an ability to explain findings to both a technical and non- technical audience.
  • General insurance pricing experience, preferably in personal lines and across a broad range of functions.
  • Familiarity with the WTW insurance software RADAR is desirable but not essential.
  • A numerate degree in Mathematics, Statistics or related subjects.
Benefits

We recognise we wouldn't be where we are today without our colleagues, that's why we offer excellent benefits designed to suit your lifestyle:

  • 9% employer contributed pension
  • 50% off home, motor and pet insurance plus Green Flag breakdown cover
  • Additional optional Health and Dental insurance
  • Up to 10% AIP Bonus
  • EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way.
  • Generous holidays
  • Buy as you earn share scheme
  • Employee discounts and cashback
  • Plus, many more

We want everyone to get the most out of their time at DLG. Which is why we've looked beyond the financial rewards and created an offer that takes your whole life into account. Supporting our people to work at their best - whatever that looks like - and offering real choice, flexibility, and a greater work-life balance that means our people have time to focus on the things that matter most to them. Our benefits are about more than just the money you earn. They're about recognising who you are and the life you live.

Be yourself

Direct Line Group is an equal opportunity employer, and we think diversity of background and thinking is a big strength in our people. We're delighted to feature as one of the UK's Top 50 Inclusive Employers and are committed to making our business an inclusive place to work, where everyone can be themselves and succeed in their careers.

We know you're more than a CV, and the things that make you, you, are what bring potential to our business. We recognise and embrace people that work in different ways so if you need any adjustments to our recruitment process, please speak to the recruitment team who will be happy to support you.

#LI-AW1

#LI-HYBRID


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Risk Modelling Data Scientist

Senior Risk Modelling Data Scientist

Senior Risk Modelling Data Scientist

Senior Risk Modelling Data Scientist

Senior Risk Modelling Data Scientist

Senior Risk Modelling Data Scientist

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.