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Senior Data ScientistDirect Line Group • London, England, United Kingdom
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Senior Data Scientist

Direct Line Group
  • +2
  • +2
  • GB
    London, England, United Kingdom
  • +2
  • +2
  • GB
    London, England, United Kingdom
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À propos

P&U Job Description 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. Join us as a Senior 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. Working closely with actuaries, underwriters, and data scientists 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 practices with the wider business. Working in an agile way means 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 the opportunity to build and grow the breadth of your expertise. Due to the requirements for this role, previous experience within insurance/pricing is essential. What you'll need Previous data science / pricing experience within insurance Master's/PhD/professional certificates or experience in a quantitative field 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 Ways of working Our hybrid model way of working offers a 'best of both worlds' approach combining the best parts of home and office-working, offering flexibility for everyone. When you'll be in the office depends on your role, but most colleagues are in 2 days a week, and we'll consider the flexible working options that work best for you. What we'll give you We wouldn't be where we are today without our people and the wide variety of perspectives and life experiences they bring. That's why we offer excellent benefits to suit your lifestyle and a flexible working model combining the best parts of home and office-working, varying with the nature of your role. Our core benefits include: 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% bonus EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way 25 days annual leave, increasing each year up to a maximum of 28 Buy as you earn share scheme Employee discounts and cashback Plus many more! Being Yourself Difference makes us who we are. We believe everyone should feel comfortable to bring their whole selves to work - that's why we champion diverse voices, build workplaces that work for people, and invest in the things that matter. From senior leadership to inclusivity networks, adaptive working to inclusion training, we've made it our mission to give you everything you need to be authentically you. Discover more at directlinegroupcareers.com Together we're one of a kind.
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Compétences idéales

  • Machine Learning
  • Python
  • London, England, United Kingdom

Expérience professionnelle

  • Data Engineer
  • Data Scientist

Compétences linguistiques

  • English
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