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- Tasks: Develop cutting-edge ML models to predict claims outcomes and monitor their performance.
- Company: Join Hastings Direct, a digital insurance provider with ambitious growth plans.
- Benefits: Enjoy flexible working, competitive bonuses, and comprehensive financial and mental wellbeing support.
- Why this job: Make a real impact in the insurance industry using innovative data science techniques.
- Qualifications: Proficiency in Python, experience with ML libraries, and strong communication skills.
- Other info: Inclusive workplace with excellent career development opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are unable to offer sponsorship for this position.
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.
We are always looking for new ideas and diverse perspectives to question established thinking and drive meaningful change. 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 Details:
- Develop best in-class ML models to predict claims outcomes, fraud and other risk KPIs.
- Work with ML Engineers to deploy ML models.
- Monitor deployed ML models and link performance to commercial value KPIs.
- Present your work to Operational and Commercial stakeholders.
- Explore new technologies and contribute to setting team’s best practices.
Skills we would love you to have:
- Proficiency in Python and experience with ML libraries for building and deploying machine learning solutions in cloud environments.
- Ability to think commercially and link ML model performance to commercial KPIs.
- Experience using structured query languages (SQL).
- Keen interest in emerging new ML techniques and their commercial value.
- Ability to communicate across teams of Data Scientists, Data Engineers, ML Engineers, Operational and Commercial stakeholders.
The interview process:
- Recruiter screening call
- Intro with Hiring manager
- Interview with hiring team – Case study
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). For more information on the DCS, please visit our inclusive business page on our careers website.
Benefits: In addition to a competitive salary, you will also receive…
- Flexible working – we champion a flexible hybrid working approach – please speak to your recruiter to discuss in more detail.
- Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus.
- Financial wellbeing – as well as providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%, we are proud to provide you with an award-winning package which includes – discounts, cashback, free independent mortgage advice and free access to financial wellbeing support.
- Mental wellbeing programme – we have the thrive mental health app, our colleague assistance programme available 24/7, our own in-house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs.
- There’s more! – 25 days annual leave.
Data Scientist in Leicester employer: Hastings Direct
Contact Detail:
Hastings Direct Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Leicester
✨Tip Number 1
Network like a pro! Reach out to current employees at Hastings Direct on LinkedIn. Ask them about their experiences and any tips they might have for the interview process. A personal connection can really help you stand out!
✨Tip Number 2
Prepare for that case study! Brush up on your machine learning concepts and think about how you can link model performance to commercial KPIs. Practising with real-world scenarios will give you the confidence to impress during the interview.
✨Tip Number 3
Show off your communication skills! During interviews, make sure you can explain complex data science concepts in simple terms. This will demonstrate your ability to collaborate with non-technical stakeholders, which is key for this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest updates and resources to help you ace your job search.
We think you need these skills to ace Data Scientist in Leicester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, ML libraries, and SQL. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and how you can contribute to our team. Don’t forget to mention your interest in emerging ML techniques!
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them! We love seeing practical examples of your work, especially those that link ML performance to commercial KPIs.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets the attention it deserves. Let’s get started on this journey together!
How to prepare for a job interview at Hastings Direct
✨Know Your Data
Make sure you brush up on your data science fundamentals, especially around machine learning models and their applications. Be ready to discuss how you've used Python and SQL in past projects, as well as any specific ML libraries you're familiar with.
✨Understand the Business
Since this role links ML performance to commercial KPIs, do your homework on Hastings Direct. Familiarise yourself with their pricing strategies and how data analytics drives their business decisions. This will help you demonstrate your commercial thinking during the interview.
✨Prepare for Case Studies
The interview includes a case study, so practice solving real-world data problems. Think about how you would approach a problem, what data you'd need, and how you'd present your findings to stakeholders. Clear communication is key!
✨Show Your Curiosity
Hastings Direct values curiosity and innovation, so be prepared to discuss new ML techniques you're excited about. Share any personal projects or research you've done that showcases your passion for data science and your willingness to learn.
