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Join a leading insurance company as an R&D Senior Data Scientist focusing on pricing models and data analysis. Utilize your expertise in statistical methods and machine learning to develop innovative solutions that enhance pricing strategy. Work in a collaborative environment with actuaries and underwriters while enjoying a hybrid work model and exceptional benefits.
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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
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