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 Pricers 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.
Join us as a Senior R&D Data Scientist in our Motor Retail Pricing team.
What you'll be doing:
In this role, you’ll use statistical and machine learning techniques to analyse and model insurance data. As part of setting retail prices, we need to create pricing models that accurately reflect risk and customer behaviours. Working closely with actuaries, underwriters, and data scientists, you’ll work on Research & Development projects to further develop the techniques and processes we use. Additionally, you’ll seek out new opportunities to apply data science techniques to insurance and support those around you to grow and develop, sharing your expertise and best practise with the wider business.
You’ll take charge early on, soak up new experiences and most importantly you’ll positively influence and shape what we do – making an impact on our customers lives. We’ll utilise your skills where they are most needed whilst also giving you to opportunity to build and grow the breadth of your expertise.
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 data science / pricing experience within insurance (minimum 3+ years)
Strong experience with statistical and machine learning techniques
Experience with insurance pricing or actuarial modelling
Python expertise (candidates with experience in other programming languages will also be considered)
Experience with Domino (or other cloud platforms) is an advantage
A curious, creative mind willing to try new ways of approaching modelling problems, while listening and responding positively to stakeholder feedback.
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.
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