At a Glance
- Tasks: Innovate pricing solutions and analyse data to enhance insurance models.
- Company: Join Hastings Direct, a leading digital insurance provider in the UK.
- Benefits: Flexible working, competitive salary, private medical insurance, and mental wellbeing support.
- Other info: Opportunity for career growth and learning from industry experts.
- Why this job: Be part of a dynamic team driving change in the insurance industry with cutting-edge technology.
- Qualifications: Proficiency in Python, SQL, and experience in data science roles.
The predicted salary is between 26159 - 31972 £ per year.
Location: London / Leicester
Welcome to Hastings Direct. We're a digital insurance provider with ambitious plans to become the best and biggest in the UK market. We've made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4Cs culture. We provide insurance for over four million customers, but we know there's even bigger opportunity out there - our Pricing, Data and Analytics community value curiosity, collaboration and constructive challenge.
Great pricing is built on trust, innovation and precision, so our aim is to ensure customers receive a fair and accurate price based on their individual risk, supporting fair outcomes, while delivering sustainable and profitable growth for our company. Pricing is more than just a number - it's a strategic capability. At the heart of Hastings is deep risk insight - continually improving how we assess, segment and price risk through data and analytics.
Job Description: Working as part of the Pricing team within the Alternative Pricing Department (APP) you will be central to the evolution of our pricing. You will have the opportunity to innovate through suggesting new approaches, exploring them using cutting edge technology and deploying them through market leading rating mechanisms. You'll have a vast array of datasets, some unique to Hastings, to work with to enhance our models and maintain our position as a leader in data and analytics in the UK general insurance market. This role focuses on deep analysis of our portfolio through new and existing data to support iterative improvements to our pricing. We're looking for a curious mind that can explore our performance from many different angles and use this insight to propose changes to our approach.
Hastings has a pricing, data and analytics community of 200+ individuals with a huge breadth and depth of expertise. We're at the forefront of change and you'll have an opportunity to play a part in this while learning from the best people in the market!
Accountabilities:
- Challenge the status quo in insurance pricing by developing innovative pricing solutions
- Own the end to end delivery of pricing changes from concept to live deployment
- Seek out new data opportunities and work to extract value from them
- Develop best in-class models to predict claims outcomes, fraud and other risk KPIs
- Support the development of junior analysts within the team
Skills Knowledge & Experience:
- Proficiency in Python, SQL, Azure ML, Git, Azure Cloud Services (Essential)
- Multiple track record of delivery of ML projects from EDA to deployment, post deployment evaluation and model refreshing (Essential)
- Work accurately and independently with little supervision when required (Essential)
- 3 - 6 years' experience in data science roles (Essential)
- Knowledge of UK motor insurance market (Desirable)
- Nearly / newly qualified actuary (Desirable)
The interview process:
- Recruiter screening call
- 1st stage interview - Initial Intro with hiring leader
- 2nd interview (Technical) will include panel
- 3rd Short call with Hiring Leader
As a Disability Confident employer, we're committed to ensuring our recruitment processes are fully inclusive. What this means to you is if you're applying for a job with us, you'll have fair access to support and adjustments throughout your recruitment journey. We also welcome applications through the Disability Confident Scheme (DCS).
Benefits:
- Flexible working - we champion a flexible hybrid working approach
- Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus
- Physical wellbeing - Hastings pays for you to receive private medical Insurance (PMI)
- Financial wellbeing - providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%
- Mental wellbeing programme - we have the thrive mental health app, our colleague assistance programme available 24/7, and support groups
- 27 days annual leave + bank holidays, with the option to buy or sell one of your days
Senior Data Scientist in London employer: hastingsdirect
Hastings Direct is an exceptional employer that prioritises employee growth and well-being, offering a flexible hybrid working model and a competitive bonus scheme. With substantial investments in technology and a strong focus on nurturing talent within a supportive culture, employees have the opportunity to thrive in their roles while contributing to meaningful projects that impact millions of customers. Join us in Leicester, Bexhill, or London, and be part of a dynamic team that values innovation and collaboration.
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We think this is how you could land Senior Data Scientist in London
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We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
