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- Tasks: Lead the development of AI solutions and drive business growth through data science.
- Company: A leading UK insurance group committed to diversity and innovation.
- Benefits: Flexible working arrangements and opportunities for career advancement.
- Why this job: Shape the future of AI in a dynamic environment with real impact.
- Qualifications: Experience in data science and a passion for emerging technologies.
- Other info: Potential to evolve into a leadership role as the team grows.
The predicted salary is between 43200 - 72000 £ per year.
A leading insurance group in the UK is seeking a Data Science Lead to build and grow its data science capability within the central office. This hands-on role involves coding and developing AI solutions, focusing on driving business growth and efficiency.
The successful candidate will explore emerging technologies and identify impactful use cases, with potential to evolve into a leadership role as the function expands. The company values diversity and encourages flexible working arrangements.
Data Science Lead — AI & Analytics Builder in London employer: Chaucer
Contact Detail:
Chaucer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Lead — AI & Analytics Builder in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI solutions and data science projects. This is your chance to demonstrate your hands-on experience and how you can drive business growth and efficiency.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills and understanding the latest trends in AI and analytics. Be ready to discuss how you can explore emerging technologies and identify impactful use cases for the company.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Science Lead — AI & Analytics Builder in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how you can contribute to our mission. We love seeing enthusiasm and a clear understanding of what we do.
Showcase Your Technical Skills: Since this role is hands-on, make sure to mention your coding skills and any specific AI solutions you've developed. We’re keen on candidates who can demonstrate their technical prowess and innovative thinking.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Chaucer
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around AI and analytics. Be ready to discuss your previous projects, the technologies you used, and how they drove business growth. This role is hands-on, so showing your coding skills and understanding of emerging technologies will definitely impress.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific use cases where you've identified impactful solutions in your past roles. Think about challenges you faced and how you overcame them using data-driven decisions. This will demonstrate your ability to think critically and creatively, which is key for this position.
✨Emphasise Leadership Potential
Since this role has the potential to evolve into a leadership position, be ready to discuss your vision for leading a team. Share examples of how you've mentored others or led projects in the past. This shows that you're not just a tech whiz but also someone who can inspire and guide a team.
✨Be Yourself and Embrace Diversity
The company values diversity, so don’t hesitate to bring your unique perspective to the table. Be authentic in your responses and share how your background can contribute to a diverse team environment. This will resonate well with their culture and show that you’re a great fit.
