At a Glance
- Tasks: Develop ML models to predict claims outcomes and fraud while collaborating with ML Engineers.
- Company: Hastings Direct, a forward-thinking company in the data community.
- Benefits: Flexible hours, hybrid working model, annual bonus, health programs, and 25 days leave.
- Other info: Join a dynamic team with opportunities for growth and innovation.
- Why this job: Make a real impact by driving meaningful change in data science.
- 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 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
✨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. When you get that interview, having tangible examples will set you apart from the crowd.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for Data Scientists, especially those related to ML and risk assessment. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our data community at Hastings Direct.
We think you need these skills to ace Hybrid Data Scientist — ML for Risk & Pricing
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 machine learning models relevant to risk and pricing. Be ready to discuss your experience with predictive modelling, especially in relation to claims outcomes and fraud detection. This will show Hastings Direct that you’re not just familiar with the theory but can apply it practically.
✨Understand Commercial KPIs
Familiarise yourself with key performance indicators that are important in the insurance industry. Be prepared to explain how your work as a Data Scientist can directly impact these KPIs. This demonstrates that you understand the business side of data science, which is crucial for the role.
✨Collaboration is Key
Since the 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’ve contributed to deploying and monitoring models in past projects. This will show that you can work well in a team environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about Hastings Direct’s data community and their approach to ML. This not only shows your interest in the company but also gives you a chance to assess if their culture aligns with your values. Plus, it makes for a more engaging conversation!
