Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team of Data Scientists to drive innovation and insights.
- Company: A leading data-driven company based in Greater London.
- Benefits: Competitive salary, leadership opportunities, and a dynamic work environment.
- Why this job: Shape the future of data science and mentor top talent.
- Qualifications: 10+ years in data science with strong people management skills.
- Other info: Collaborative culture with a focus on data-driven decision making.
The predicted salary is between 43200 - 72000 £ per year.
A leading data-driven company based in Greater London is looking for a Head of Data Science to lead their Data Science team. This senior leadership role involves managing a central team of Data Scientists and engineers to drive data-driven insights and innovation. The ideal candidate has over 10 years of experience in data science and proven people management skills. You will collaborate across functions and ensure that product decisions are backed by quantitative analysis while mentoring top talent in the field.
Head of ML & Data Science — Scale AI in Dubai in London employer: Talent Seed
Contact Detail:
Talent Seed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of ML & Data Science — Scale AI in Dubai in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who might know someone at Scale AI. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your past projects and successes in data science. This will give you an edge during interviews and show them what you're capable of.
✨Tip Number 3
Practice makes perfect! Get ready for those tricky interview questions by doing mock interviews with friends or using online platforms. The more you practice, the more confident you'll feel when it’s your turn.
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application directly. Plus, it shows you're genuinely interested in joining our team at Scale AI.
We think you need these skills to ace Head of ML & Data Science — Scale AI in Dubai in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that match the Head of ML & Data Science role. Highlight your leadership experience and any relevant projects that showcase your data-driven insights.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background makes you the perfect fit for leading our team. Be sure to mention any innovative projects you've led.
Showcase Your People Management Skills: Since this role involves managing a team, don’t forget to highlight your people management skills. Share examples of how you've mentored talent and fostered collaboration in previous roles.
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 shows us you’re keen on joining our team!
How to prepare for a job interview at Talent Seed
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts and methodologies. Be prepared to discuss your experience with machine learning algorithms, statistical analysis, and data visualisation techniques. This will show that you have a solid foundation and can lead a team effectively.
✨Showcase Your Leadership Skills
As a Head of ML & Data Science, you'll need to demonstrate your people management abilities. Prepare examples of how you've successfully led teams, mentored talent, and driven innovation in previous roles. Highlighting these experiences will help convey your capability to manage and inspire a central team.
✨Prepare for Cross-Functional Collaboration
Since the role involves collaboration across functions, think of instances where you've worked with other departments. Be ready to discuss how you ensured product decisions were backed by quantitative analysis and how you communicated complex data insights to non-technical stakeholders.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company aligns with your career goals and values.