At a Glance
- Tasks: Create machine learning models to predict claims outcomes and fraud.
- Company: Hastings Direct, a forward-thinking insurance company.
- Benefits: Flexible working, competitive bonuses, and financial wellbeing package.
- Other info: Hybrid role based in Leicester, Bexhill, or London.
- Why this job: Join a dynamic team and make a real impact in the insurance industry.
- Qualifications: Strong Python skills, experience with ML libraries and SQL.
The predicted salary is between 50000 - 65000 £ per year.
Hastings Direct is seeking a Data Scientist based in Leicester, Bexhill, or London (Hybrid). You will develop machine learning models to predict claims outcomes and fraud, collaborating with ML Engineers for deployment and monitoring performance.
The ideal candidate should have:
- Strong Python skills
- Experience with ML libraries and SQL
- Excellent communication abilities
The position offers a flexible working arrangement, competitive bonuses, and a comprehensive financial wellbeing package.
Data Scientist — Hybrid, KPI‑Driven ML in London employer: Hastings Direct
Hastings Direct is an excellent employer that fosters a collaborative and innovative work culture, particularly for Data Scientists looking to make a significant impact in the insurance sector. With flexible working arrangements, competitive bonuses, and a strong focus on financial wellbeing, employees are encouraged to grow their skills and advance their careers in a supportive environment. The hybrid model allows for a balanced work-life integration, making it an attractive opportunity for those based in Leicester, Bexhill, or London.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist — Hybrid, KPI‑Driven ML in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Hastings Direct on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those using Python and SQL. This will help us demonstrate your expertise during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common data science interview questions and be ready to discuss your approach to developing ML models. We want to see how you think!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Scientist — Hybrid, KPI‑Driven ML in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python prowess and experience with ML libraries in your application. We want to see how you can bring your technical skills to the table, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to predicting claims outcomes and fraud, as it shows us you’re genuinely interested.
Communicate Clearly:Since excellent communication is key for this role, ensure your written application reflects that. Use clear language and structure your thoughts logically to demonstrate your ability to convey complex ideas simply.
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 this exciting opportunity at Hastings Direct!
How to prepare for a job interview at Hastings Direct
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, including any specific libraries you've used for machine learning. Practising coding challenges can also help you demonstrate your proficiency.
✨Showcase Your ML Knowledge
Prepare to talk about the machine learning models you've developed in the past. Be specific about the algorithms you used, the problems you solved, and the outcomes. This will show Hastings Direct that you have hands-on experience and can contribute effectively from day one.
✨SQL Skills Are Key
Since SQL is a crucial part of the role, make sure you're comfortable discussing your experience with it. Brush up on common queries and be prepared to explain how you've used SQL to manipulate and analyse data in previous projects.
✨Communicate Clearly and Confidently
Excellent communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with ML Engineers and other stakeholders. Being able to convey your ideas clearly will set you apart from other candidates.
