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- Tasks: Lead a talented AI team, tackling complex data science challenges.
- Company: Join a cutting-edge insure-tech company focused on innovation and technology.
- Benefits: Enjoy 28 days holiday, private medical, share options, and monthly socials.
- Why this job: Be part of a dynamic team that drives real-world impact through data science.
- Qualifications: Experience in data science, machine learning, and Python is essential.
- Other info: Hybrid/remote working options available; we value skills over background.
The predicted salary is between 84000 - 168000 £ per year.
Are you looking for your next data science opportunity within the insure-tech space? This is your chance to work as part of a high-quality AI team, tackling complex problems that provide services for everyone. Ideally, we seek someone with experience in a product-led technology business, emphasizing the use of Data Science, Machine Learning, and AI to drive success.
This role is not traditional; you will lead a team of up to four within the wider team and serve as a key mentor. You should be bright, inquisitive, and curious while possessing the ability to set high standards and positively challenge those around you. Experience with projects involving LLMs is a significant plus, and there is an expectation that you come from a technical background with commercial experience in Python. The team is a highly talented group that consistently drives innovation.
Benefits:
- 28 days holiday + bank holidays
- Private medical
- Share options
- Learning & development budgets
- Monthly socials
- WeWork office space for in-office days
- Top spec equipment
Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.
Data Science Lead employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Lead
✨Tip Number 1
Familiarise yourself with the latest trends in data science, machine learning, and AI, especially within the insure-tech sector. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the data science community, particularly those who work in similar roles or industries. Engaging in discussions on platforms like LinkedIn can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to showcase your leadership skills and mentoring experience. Think of specific examples where you've led a team or guided colleagues, as this role emphasises the importance of mentorship.
✨Tip Number 4
If you have experience with large language models (LLMs), be ready to discuss your projects and their impact. Highlighting relevant projects can set you apart from other candidates and show your technical expertise.
We think you need these skills to ace Data Science Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and AI. Emphasise any leadership roles or mentoring experiences, as this position requires you to lead a team.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the insure-tech space and how your background aligns with the company's goals. Mention specific projects involving LLMs if applicable, and demonstrate your curiosity and high standards.
Showcase Technical Skills: Clearly outline your technical skills, particularly in Python and any relevant data science tools or frameworks. Provide examples of how you've used these skills in previous roles to drive success.
Highlight Team Leadership Experience: Since this role involves leading a team, be sure to include any past experiences where you've successfully managed or mentored others. Discuss your approach to fostering innovation and setting high standards within a team.
How to prepare for a job interview at Burns Sheehan
✨Showcase Your Leadership Skills
As a Data Science Lead, you'll be expected to mentor and guide your team. Prepare examples of how you've successfully led projects or teams in the past, highlighting your ability to inspire and challenge others.
✨Demonstrate Technical Proficiency
Make sure to brush up on your Python skills and any relevant machine learning frameworks. Be ready to discuss specific projects where you've applied these technologies, especially if they involved LLMs.
✨Emphasise Problem-Solving Abilities
The role involves tackling complex problems, so be prepared to discuss your approach to problem-solving. Think of examples where you've used data science to drive business success and how you overcame challenges.
✨Prepare Questions About Company Culture
Since the company values a collaborative and innovative environment, come with questions that show your interest in their culture. Ask about team dynamics, how they encourage creativity, and what their approach is to continuous learning.
