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For Companies At a Glance
- Tasks: Analyze and model insurance data using statistical and machine learning techniques.
- Company: Direct Line Group is a customer-focused powerhouse in the insurance industry.
- Benefits: Enjoy flexible hybrid working, 25 days leave, and a 9% pension contribution.
- Why this job: Make a real impact on customer lives while growing your expertise in a collaborative environment.
- Qualifications: Must have previous data science experience in insurance and strong Python skills.
- Other info: Join a diverse team that values authenticity and offers excellent employee benefits.
The predicted salary is between 43200 - 72000 £ per year.
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 practise 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 to 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
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Previous data science / pricing experience within insurance
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Master’s/PhD/professional certificates or experience in a quantitative field,
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Strong experience with statistical and machine learning techniques
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Experience with insurance pricing or actuarial modelling
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Python expertise (candidates with experience in other programming languages will also be considered)
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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.
Read our flexible working approach here
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:
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9% employer contributed pension
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50% off home, motor and pet insurance plus free travel insurance and Green Flag breakdown cover
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Additional optional Health and Dental insurance
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Up to 10% bonus
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EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way.
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25 days annual leave, increasing each year up to a maximum of 28
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Buy as you earn share scheme
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Employee discounts and cashback
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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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Senior Data Scientist employer: Direct Line Insurance Group plc
Contact Detail:
Direct Line Insurance Group plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarize yourself with the specific statistical and machine learning techniques that are commonly used in insurance pricing. This will not only help you understand the role better but also allow you to speak confidently about your relevant experience during the interview.
✨Tip Number 2
Network with professionals in the insurance and data science fields. Attend industry events or webinars where you can meet people who work at Direct Line Group or similar companies. Building these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your Python expertise by working on relevant projects or contributing to open-source initiatives. Having a portfolio of your work can demonstrate your skills effectively and give you an edge over other candidates.
✨Tip Number 4
Research Direct Line Group's approach to pricing and underwriting. Understanding their business model and how they leverage data science will allow you to tailor your discussions during interviews, showing that you are genuinely interested in the company and its goals.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Scientist position. Familiarize yourself with the specific statistical and machine learning techniques mentioned in the job description.
Tailor Your CV: Customize your CV to highlight relevant experience in data science and pricing within the insurance sector. Emphasize your expertise in Python and any experience with cloud platforms like Domino.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your previous experiences align with the company's goals. Mention specific projects or achievements that demonstrate your ability to analyze and model insurance data.
Showcase Your Soft Skills: In addition to technical skills, emphasize your ability to work collaboratively in an agile environment. Highlight experiences where you've positively influenced team dynamics or contributed to the growth of others in your field.
How to prepare for a job interview at Direct Line Insurance Group plc
✨Showcase Your Data Science Skills
Be prepared to discuss your experience with statistical and machine learning techniques. Highlight specific projects where you've successfully applied these skills, especially in the context of insurance pricing or actuarial modeling.
✨Understand the Insurance Landscape
Familiarize yourself with the insurance industry, particularly how pricing models are developed. Demonstrating knowledge of the balance between business goals and customer needs will show that you understand the complexities of the role.
✨Prepare for Technical Questions
Expect technical questions related to Python and other programming languages. Brush up on your coding skills and be ready to solve problems on the spot, as this will showcase your expertise and adaptability.
✨Emphasize Collaboration and Influence
Since the role involves working closely with actuaries, underwriters, and other data scientists, share examples of how you've positively influenced team dynamics and contributed to collaborative projects in the past.
