Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via emailDLG 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 youll 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. Thats 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 youll be doing
In this role youll use statistical and machine learning techniques to analyse and model insurance data. Working closely with actuaries underwriters and data scientists to develop pricing models that accurately reflect market and customer behaviours. Additionally youll 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.
Working in an agile way means youll take charge early on soak up new experiences and most importantly youll positively influence and shape what we do making an impact on our customers lives. Well 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 youll be in the office depends on your role and team but colleagues spend at least 2 days a week in the office
What youll need
Previous data science / pricing experience within insurance
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
Due to the requirements for this role previous experience within insurance/pricing is essential (minimum 3 years).
Benefits
We recognise we wouldnt be where we are today without our colleagues thats 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
Additional optional Health and Dental insurance
Up to 10 AIP Bonus
EV car scheme allows all colleagues to lease a brand new electric or plugin 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 weve 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 worklife 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. Theyre 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. Were delighted to feature as one of the UKs 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 youre 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.
#LIAW #LIHYBRID
Required Experience:
Senior IC
Full-Time