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- Tasks: Lead and build a Data Science & ML team to drive impactful AI solutions.
- Company: Global insurance and reinsurance leader with a focus on innovation.
- Benefits: Competitive salary, leadership opportunities, and a chance to shape AI capabilities.
- Other info: Mentorship and collaboration in a regulated environment for career growth.
- Why this job: Be at the forefront of AI development in a dynamic industry.
- Qualifications: Strong machine learning experience and excellent communication skills required.
The predicted salary is between 80000 - 100000 £ per year.
A global insurance and reinsurance business is seeking a key leader to build and lead a Data Science & Machine Learning function. The role requires hands-on involvement in architecting data solutions, mentoring a team, and engaging with stakeholders to identify impactful AI use cases.
Ideal candidates have strong experience in machine learning, cloud ecosystems, and excellent communication skills. Experience in regulated environments is a plus. This role is essential for shaping AI capabilities within the organization.
Head of Data Science & ML — AI Solutions Leader in London employer: SPG Resourcing
Contact Detail:
SPG Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science & ML — AI Solutions Leader in London
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or at events. We can’t stress enough how important it is to make connections that could lead to opportunities in data science and machine learning.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI use cases. This will help us see your hands-on experience and problem-solving abilities in action.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. We want to hear how you can engage with stakeholders and mentor a team effectively. Practice explaining complex concepts in simple terms!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Head of Data Science & ML — AI Solutions Leader in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and machine learning. We want to see how you've architected data solutions and mentored teams, so don’t hold back on those details!
Showcase Your Communication Skills: Since this role involves engaging with stakeholders, it’s crucial to demonstrate your excellent communication skills. Use clear and concise language in your application to show us you can convey complex ideas effectively.
Highlight Relevant Experience: If you’ve worked in regulated environments or have experience with cloud ecosystems, make sure to mention it! We’re looking for candidates who can navigate these areas smoothly.
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 out on any important updates from us!
How to prepare for a job interview at SPG Resourcing
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning concepts and data architecture. Be ready to discuss specific projects you've worked on, especially those that involved hands-on coding or model deployment. This will show your technical prowess and hands-on experience.
✨Showcase Your Leadership Skills
Since this role involves mentoring a team, be prepared to share examples of how you've successfully led teams in the past. Talk about your approach to fostering collaboration and innovation within your team, as well as any challenges you've overcome.
✨Engage with Stakeholders
Demonstrate your ability to communicate complex AI concepts to non-technical stakeholders. Prepare examples of how you've identified impactful AI use cases in previous roles and how you engaged with different departments to implement these solutions.
✨Understand the Regulatory Landscape
If you have experience in regulated environments, make sure to highlight it. Discuss how you've navigated compliance issues in your previous projects and how you can apply that knowledge to ensure the organisation's AI initiatives are both innovative and compliant.