Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team to create innovative machine learning solutions for customer experiences.
- Company: Global travel solutions company based in Greater London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of travel with data-driven insights and ethical practices.
- Qualifications: Strong background in applied machine learning and leadership experience.
- Other info: Join a dynamic team focused on innovation and customer satisfaction.
The predicted salary is between 54000 - 84000 £ per year.
A global travel solutions company based in Greater London is seeking a Data Science Leader to define and manage the enterprise data science strategy. This role involves building a high-performing team, delivering innovative machine learning solutions for customer personalization, and ensuring data ethics compliance.
The ideal candidate will have:
- a strong background in applied machine learning,
- experience in leading data science initiatives,
- excellent communication skills for stakeholder engagement.
Chief Data Science & Analytics Leader employer: Collinson
Contact Detail:
Collinson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Chief Data Science & Analytics Leader
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend local meetups. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio of your machine learning projects and share them during interviews. This gives us a chance to see your work in action and understand your approach to data science.
✨Tip Number 3
Prepare for those interviews! Research the company’s data strategy and think about how you can contribute. We want to hear your ideas on customer personalisation and data ethics compliance.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Chief Data Science & Analytics Leader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Chief Data Science & Analytics Leader role. Highlight your background in applied machine learning and any leadership experience you've had in data science initiatives.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've delivered innovative machine learning solutions and engaged stakeholders effectively.
Showcase Your Team Leadership Skills: Since building a high-performing team is key, mention any relevant experience you have in leading teams. We want to see how you’ve motivated others and driven successful projects in the past.
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 during the process.
How to prepare for a job interview at Collinson
✨Know Your Data Science Stuff
Make sure you brush up on your applied machine learning knowledge. Be ready to discuss specific projects you've worked on, the algorithms you used, and the outcomes. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Leadership Skills
Since this role involves building a high-performing team, be prepared to share examples of how you've led data science initiatives in the past. Talk about how you motivated your team, resolved conflicts, and drove projects to success. This will demonstrate your capability as a leader.
✨Communicate Clearly
Excellent communication skills are key for stakeholder engagement. Practice explaining complex data concepts in simple terms. You might be asked to present your ideas or findings, so think about how you can make your insights accessible to non-technical audiences.
✨Understand Data Ethics
With data ethics being a crucial part of the role, be ready to discuss how you ensure compliance in your work. Familiarise yourself with current regulations and best practices in data ethics, and be prepared to share how you've implemented these in previous roles.
