At a Glance
- Tasks: Develop ML models to predict claims outcomes and fraud, collaborating with ML Engineers.
- Company: Hastings Direct, a leader in data-driven insurance solutions.
- Benefits: Flexible hours, hybrid working, annual bonus, health programs, and 25 days leave.
- Other info: Exciting opportunity for growth in a dynamic and supportive environment.
- Why this job: Join us to make a real impact in the data community and drive meaningful change.
- Qualifications: Experience in data science and machine learning is essential.
The predicted salary is between 50000 - 60000 € per year.
Hastings Direct is looking for a skilled Data Scientist to develop leading ML models predicting claims outcomes and fraud. The role involves collaboration with ML Engineers to deploy and monitor models, and tie performance to commercial KPIs.
Located in Greater London, this position offers a hybrid working model, flexible hours, and a rich benefits package including an annual bonus, health programs, and 25 days of annual leave. Join us to drive meaningful change within our data community.
Hybrid Data Scientist — ML for Risk & Pricing in London employer: Hastings Direct
Hastings Direct is an exceptional employer that fosters a collaborative and innovative work culture, particularly for Data Scientists looking to make a significant impact in the field of machine learning. With a hybrid working model based in Greater London, employees enjoy flexible hours, a comprehensive benefits package including an annual bonus and health programmes, as well as ample opportunities for professional growth and development within a dynamic data community.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Scientist — ML for Risk & Pricing in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Hastings Direct on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your ML models and data projects. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your data science concepts and coding skills. Use platforms like LeetCode or HackerRank to sharpen your abilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Hybrid Data Scientist — ML for Risk & Pricing in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data science and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to Hastings Direct. Let us know what excites you about the role and the company.
Showcase Your Technical Skills:Don’t forget to mention your technical skills, especially those related to ML models and data analysis. We’re keen to see your proficiency in programming languages and tools that are essential for the job.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Hastings Direct
✨Know Your ML Models
Make sure you brush up on the latest machine learning models relevant to risk and pricing. Be ready to discuss how you've applied these models in past projects, and think about how they can be tailored to predict claims outcomes and fraud.
✨Understand Commercial KPIs
Familiarise yourself with key performance indicators that are important for the role. Be prepared to explain how your work as a Data Scientist can directly impact these KPIs, showcasing your understanding of the business side of data science.
✨Collaboration is Key
Since this role involves working closely with ML Engineers, think of examples where you've successfully collaborated with technical teams. Highlight your communication skills and how you can bridge the gap between data science and engineering.
✨Ask Insightful Questions
Prepare thoughtful questions about Hastings Direct's data community and their approach to deploying and monitoring models. This shows your genuine interest in the company and helps you assess if it's the right fit for you.
