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- Tasks: Lead a team to enhance data analytics and drive innovation in finance.
- Company: A leading global (re)insurance group focused on inclusivity.
- Benefits: Comprehensive benefits package and a culture of innovation.
- Why this job: Shape the future of data science in a dynamic industry.
- Qualifications: Quantitative degree and experience in insurance or financial services.
- Other info: Opportunity to mentor and grow within a multidisciplinary team.
The predicted salary is between 54000 - 84000 £ per year.
A leading global (re)insurance group is seeking a Head of Data Science to lead analytical capabilities within their Data Office. You will build and mentor a multidisciplinary team to enhance Finance & Data Transformation. This role requires expertise in data science and Machine Learning, combined with strong stakeholder engagement skills. Ideal candidates will have a quantitative degree and proven experience in insurance or financial services. The company offers comprehensive benefits and a focus on innovation and inclusivity.
Director of Data Science & Analytics in London employer: Enstar Group
Contact Detail:
Enstar Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Data Science & Analytics in London
✨Tip Number 1
Network like a pro! Reach out to connections in the insurance and financial services sectors. Attend industry events or webinars to meet potential employers and showcase your expertise in data science and analytics.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and stakeholder engagement strategies. We recommend practising common interview questions related to data science and thinking about how you can demonstrate your leadership abilities.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your experience with machine learning and data transformation. This will give you an edge and help potential employers see your hands-on capabilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s a great way to ensure your application gets noticed. Plus, we’re always looking for innovative minds to join our team, so make sure to put your best foot forward!
We think you need these skills to ace Director of Data Science & Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in data science and analytics, especially in finance or insurance. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how you can lead our Data Office. Be sure to mention any relevant projects or teams you've built in the past.
Showcase Your Stakeholder Engagement Skills: Since this role involves strong stakeholder engagement, include examples of how you've successfully collaborated with different teams or departments. We love to see how you can bridge the gap between data science and business needs!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, we can't wait to hear from you!
How to prepare for a job interview at Enstar Group
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning knowledge. Be ready to discuss specific projects you've worked on, the methodologies you used, and the outcomes. This is your chance to showcase your expertise and how it can benefit the company.
✨Showcase Your Leadership Skills
As a Director of Data Science, you'll need to lead and mentor a team. Prepare examples of how you've successfully built and managed teams in the past. Highlight your approach to fostering collaboration and innovation within your team.
✨Engage with Stakeholders
Strong stakeholder engagement is key for this role. Think about times when you've effectively communicated complex data insights to non-technical stakeholders. Be ready to discuss how you can bridge the gap between data science and business needs.
✨Align with Company Values
Research the company's focus on innovation and inclusivity. Be prepared to discuss how your values align with theirs and how you can contribute to their culture. Showing that you understand and appreciate their mission can set you apart from other candidates.
