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- Tasks: Lead complex data science projects and mentor fellow data scientists.
- Company: Global insurance company with a supportive culture.
- Benefits: Great employee benefits and dynamic team environment.
- Why this job: Make a real impact on the insurance value chain with advanced analytics.
- Qualifications: Experience in data science and strong problem-solving skills.
- Other info: Opportunities for career growth in a collaborative setting.
The predicted salary is between 43200 - 72000 £ per year.
A global insurance company is looking for a Principal Data Scientist to lead complex data science initiatives in London or York. You will manage the delivery of impactful data science projects and mentor fellow data scientists. Your role is pivotal in enhancing underwriting capabilities and influencing the entire insurance value chain through advanced analytics and problem-solving techniques. Join a dynamic team and enjoy a supportive company culture with great employee benefits.
Lead Principal Data Scientist - ML, AI Solutions in London employer: Hiscox
Contact Detail:
Hiscox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Principal Data Scientist - ML, AI Solutions in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Showcase your skills! Prepare a portfolio of your data science projects that highlight your problem-solving techniques and impact. This will help us stand out during interviews and demonstrate our expertise.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine our responses. Focus on articulating how our experience aligns with enhancing underwriting capabilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight our fit for the role and the company’s values.
We think you need these skills to ace Lead Principal Data Scientist - ML, AI Solutions in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the Lead Principal Data Scientist role. Highlight your experience in managing data science projects and mentoring others, as these are key aspects of the job.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can enhance underwriting capabilities. Share specific examples of past projects that demonstrate your problem-solving techniques and impact on the insurance value chain.
Showcase Your Technical Skills: Don’t forget to include your technical expertise in ML and AI solutions. We want to see how you've applied these skills in real-world scenarios, so be sure to mention any relevant tools or technologies you've used.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. This way, we can easily track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Hiscox
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning and AI knowledge. Be ready to discuss specific projects you've worked on, the techniques you used, and the impact they had. This is your chance to showcase your expertise and how it can benefit the company.
✨Showcase Your Leadership Skills
Since this role involves mentoring fellow data scientists, be prepared to talk about your leadership style. Share examples of how you've guided teams in the past, resolved conflicts, or fostered collaboration. They want to see that you can inspire and elevate others.
✨Understand the Insurance Industry
Familiarise yourself with the insurance value chain and how data science can enhance underwriting capabilities. Research current trends and challenges in the industry so you can speak intelligently about how your skills can address these issues.
✨Ask Insightful Questions
Prepare thoughtful questions to ask during the interview. This shows your genuine interest in the role and the company. Inquire about their current data science initiatives, team dynamics, or how they measure success in their projects. It’s a great way to demonstrate your enthusiasm and strategic thinking.
