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- Tasks: Lead teams to create data-driven solutions for risk assessment and pricing optimisation.
- Company: Global insurance leader with a focus on innovation and collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the insurance industry using your data science skills.
- Qualifications: Proficient in Python or R, SQL experience, and strong analytical abilities.
- Other info: Collaborative environment with potential travel to the US.
The predicted salary is between 36000 - 60000 £ per year.
A leading global insurance company is seeking an IT Assistant Vice President – Data Science, based remotely in the UK. This role involves managing teams and developing data-driven solutions to enhance risk assessment, optimize pricing, and analyze claims data.
Candidates should be proficient in programming languages like Python or R, have experience with SQL, and possess strong analytical skills.
The position offers opportunities for collaboration with various departments and may involve occasional travel to the US.
Remote UK AVP, Data Science & Analytics Leader employer: Tokio Marine Kiln
Contact Detail:
Tokio Marine Kiln Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote UK AVP, Data Science & Analytics Leader
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and data science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Research the company and its culture, and be ready to discuss how your skills in Python, R, and SQL can help them enhance risk assessment and optimise pricing. Practice common interview questions to boost your confidence.
✨Tip Number 3
Showcase your projects! If you've worked on any data-driven solutions or analytics projects, make sure to highlight them in your conversations. This will demonstrate your hands-on experience and analytical skills to potential employers.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. By applying directly, you’ll ensure your application gets the attention it deserves, and you might even find roles that aren’t advertised elsewhere.
We think you need these skills to ace Remote UK AVP, Data Science & Analytics Leader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and analytics. Use keywords from the job description, like Python, R, and SQL, to show we’re on the same page.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share specific examples of how you’ve managed teams and developed data-driven solutions. Let us see your passion for the role!
Show Off Your Analytical Skills: In your application, don’t just say you have strong analytical skills—prove it! Mention projects where you’ve optimised pricing or enhanced risk assessment using data.
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 don’t miss any important updates!
How to prepare for a job interview at Tokio Marine Kiln
✨Know Your Data Science Stuff
Make sure you brush up on your programming skills, especially in Python and R. Be ready to discuss specific projects where you've used these languages to solve real-world problems, as well as your experience with SQL. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Analytical Skills
Prepare to talk about how you've used data analytics to drive decisions in previous roles. Think of examples where your insights led to improved risk assessment or pricing strategies. Being able to articulate your thought process will impress the interviewers.
✨Team Management Experience is Key
Since this role involves managing teams, be ready to share your leadership experiences. Discuss how you've motivated your team, resolved conflicts, or fostered collaboration across departments. Highlighting your ability to lead will demonstrate that you're a good fit for the position.
✨Be Ready for Collaboration Questions
Given the collaborative nature of the role, prepare for questions about how you work with other departments. Think of examples where you’ve successfully partnered with different teams to achieve a common goal. This will show that you understand the importance of teamwork in driving data-driven solutions.