AddressSenior Data Scientist – Insurance Pricing
Leeds, London & Home (office visits c. once per month)
Let’s make the most of your talent.
Join our Pricing & Underwriting Chapter as a Senior Data Scientist with Pricing experience.
About Us:
At Direct Line Group, insurance is just the start. Combining decades of industry experience with talented people in every field, we’re a customer-obsessed market powerhouse. And we all work together to be brilliant for customers, every single day.
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.
What you’ll be doing:
In this role, you’ll use statistical and machine learning techniques to analyze and model insurance data. Working closely with actuaries, underwriters, and Data Scientists to understand the drivers of loss and to develop pricing models that accurately reflect risk and customer behaviours. 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 your tribe and wider P&U chapter.
Working in an agile way meansyou’ll take charge early on, soak up new experiences and most importantlyyou’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 yourexpertise.You’ll join one of our various tribes (home, motor, pet, travel etc.) and complete yourwork day to day within one of our squads.
Due to the requirements for this role, previous experience within insurance/pricing is essential.
What we are looking for
- Previous data science / pricing experience within insurance
- Master's/PhD/professional certificates or experience in a quantitative field
- Either or both:
- Strong experience with statistical and machine learning techniques
- Experience with insurance pricing or actuarial modelling
- Python (candidates with experience in other programming languages will also be considered)
- Experience with AWS Sagemaker (or other cloud platforms) is an advantage
What we offer:
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 free travel insurance and Green Flag breakdown cover
- Up to 10% annual bonus
- 25 days holiday (rising by 1 each year to 28) + bank holidays and option to buy or sell up to 5 days
- Additional optional Health and Dental insurance
- EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way.
- Buy as you earn share scheme
- Employee discounts and cashback
- Plus many more
Read our flexible working approach here.
Be yourself
We recognise and embrace people that work in different ways so if you need any reasonable adjustments within this recruitment process, please reach out to us and we can discuss how we can support you with this.
There’s no-one else like you. No-one with the exact same mix of strengths, quirks, skills, and thoughts. That’s why you could belong here. As part of a team, in a place that empowers you to be the best you can be. We’re proud of who we are, of what we do, and what every one of us brings. Direct Line Group is an equal opportunity employer, and we think diversity of background and thinking is a big strength in our people. We know you're more than a CV, and the things that make you, you, are what bring potential to our business.
Join us. Help us keep innovating and putting customers at the heart of everything. To be an insurance company of the future. When we work together, we can all achieve great things. Inspiring, challenging, and supporting each other to aim higher.
Together we’re one of a kind.
