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- Tasks: Use analytics and big data to drive business decisions in insurance.
- Company: Leading specialist insurer based in London with a focus on innovation.
- Benefits: Competitive pay, 25 days annual leave, and a contributory pension.
- Why this job: Join a dynamic team and make impactful decisions using cutting-edge data science.
- Qualifications: Experience in machine learning, data analysis, and programming tools like R, Python, and SQL.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading specialist insurer in London is seeking a Data Scientist to collaborate in a wider technical team. The role involves using analytics to drive business decisions, leveraging emerging methodologies and big data.
Ideal candidates will have experience in machine learning and data analysis, as well as proficiency in programming tools like R, Python, and SQL.
The position offers competitive pay and generous benefits including 25 days annual leave and a contributory pension.
Hybrid Data Scientist — Insurance Analytics & ML in London employer: Candour Solutions
Contact Detail:
Candour Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Scientist — Insurance Analytics & ML in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance analytics field on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and data analysis work. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your programming skills in R, Python, and SQL. Practice common data science interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles.
We think you need these skills to ace Hybrid Data Scientist — Insurance Analytics & ML in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and data analysis. We want to see how you've used R, Python, and SQL in your previous roles, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your skills can help us drive business decisions through analytics. Keep it engaging and personal.
Showcase Your Projects: If you’ve worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We love seeing practical applications of your skills, especially in insurance analytics!
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 with our team!
How to prepare for a job interview at Candour Solutions
✨Know Your Data Science Fundamentals
Brush up on your machine learning concepts and data analysis techniques. Be ready to discuss how you've applied these in past projects, especially in the context of insurance analytics. This will show that you understand the industry and can leverage big data effectively.
✨Showcase Your Programming Skills
Make sure you're comfortable with R, Python, and SQL. Prepare to demonstrate your coding abilities during the interview, perhaps by solving a problem or discussing a project where you used these tools. This will highlight your technical proficiency and problem-solving skills.
✨Understand the Business Impact
Be prepared to talk about how your work as a Data Scientist can drive business decisions. Think of examples where your analytics led to actionable insights or improved outcomes. This shows that you can connect technical work with real-world applications, which is crucial for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to data science and their current projects. This not only demonstrates your interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a two-way street!
