At a Glance
- Tasks: Develop ML models to predict claims outcomes and fraud, collaborating with engineers.
- Company: Join Hastings Direct, a leading digital insurance provider with a focus on innovation.
- Benefits: Enjoy flexible working, competitive bonuses, and a comprehensive wellbeing programme.
- Other info: Inclusive culture with excellent career growth opportunities and support for all applicants.
- Why this job: Make a real impact in the insurance industry using cutting-edge data science techniques.
- Qualifications: Proficiency in Python, experience with ML libraries, and SQL skills are essential.
The predicted salary is between 63000 - 77000 £ per year.
Location: Leicester / Bexhill / London / Hybrid
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:
Our interview process involves the below:
- 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 career's 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 + bank holidays, with the option to buy or sell one of your weeks, access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more.
Join us and you’ll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community. As one of our colleagues, you’ll be helping to drive our growth, so in return, we’ll give you all the support, training and development you need. Our 4Cs principles are simple: we believe by creating the right culture for our colleagues and giving them the right tools to do their job, we’ll deliver good outcomes for every customer, helping us to grow the company profitably and sustainably and allowing us to invest in the communities we serve.
Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please also note that we have a thorough referencing process, which includes credit and criminal record checks.
At Hastings Direct, we’re committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.
Job posting end date: 18/08/2026
Data Scientist - Fraud in London employer: Hastings Insurance Services
Hastings Direct is an exceptional employer, offering a dynamic work culture that prioritises flexibility and employee wellbeing. With a strong commitment to professional development and a comprehensive benefits package, including private medical insurance and a competitive bonus scheme, we empower our colleagues to thrive both personally and professionally. Join us in Bexhill, London or Leicester, and be part of a forward-thinking team dedicated to making a meaningful impact in the insurance industry.
Contact Details:
Hastings Insurance Services Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Fraud in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Hastings Insurance Services!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist - Fraud at Hastings Insurance Services.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hastings Insurance Services.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist - Fraud at Hastings Insurance Services, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist - Fraud 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Hastings Insurance Services, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hastings Insurance Services. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Hastings Insurance Services
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hastings Insurance Services!
✨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.