At a Glance
- Tasks: Lead a diverse team to develop and commercialise AI-led solutions.
- Company: Join Kantar Group Limited, a leader in innovative data science.
- Benefits: Enjoy a hybrid work model, competitive salary, and career growth.
- Other info: Work three days a week in London for a dynamic experience.
- Why this job: Make a real impact in AI while collaborating with top experts.
- Qualifications: Advanced degree in a relevant field and strong machine learning skills.
The predicted salary is between 80000 - 100000 £ per year.
Kantar Group Limited is seeking a Lead Data Scientist to build and commercialize AI-led solutions. This position involves collaboration with the Chief AI Scientist, overseeing the development of algorithms and leading a diverse data science team.
The ideal candidate will hold an advanced degree and possess a strong background in machine learning, cloud platforms, and excellent communication skills.
The role includes a hybrid work arrangement, requiring three days a week in the London office.
Lead AI Scientist - Hybrid London, GenAI & Productization employer: Kantar Group Limited
Kantar Group Limited is an exceptional employer that fosters innovation and collaboration in the heart of London. With a strong emphasis on employee growth, we offer opportunities to work alongside industry leaders in AI and data science, while enjoying a hybrid work model that promotes work-life balance. Our inclusive culture encourages creativity and professional development, making it a rewarding place for those looking to make a meaningful impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Scientist - Hybrid London, GenAI & Productization
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Kantar Group. A friendly chat can open doors and give you insights that might just help you stand out.
✨Tip Number 2
Showcase your skills! Prepare a portfolio or a presentation that highlights your best AI projects. This is your chance to shine and demonstrate how you can contribute to their team.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by doing mock sessions with friends or mentors. Focus on articulating your experience in machine learning and cloud platforms clearly.
✨Tip Number 4
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 Lead AI Scientist - Hybrid London, GenAI & Productization
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Communication Skills:Since this role involves collaboration, it’s crucial to demonstrate your communication prowess. Whether it’s in your CV or cover letter, highlight experiences where you’ve effectively communicated complex ideas to diverse audiences.
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 – just follow the prompts!
How to prepare for a job interview at Kantar Group Limited
✨Know Your Algorithms
Brush up on your knowledge of machine learning algorithms and their applications. Be ready to discuss specific projects where you've implemented these algorithms, as this will showcase your expertise and practical experience.
✨Showcase Your Leadership Skills
Since this role involves leading a diverse data science team, prepare examples that highlight your leadership style. Think about times when you successfully guided a team through challenges or fostered collaboration among team members.
✨Familiarise Yourself with Cloud Platforms
As the job requires experience with cloud platforms, make sure you can speak confidently about your experience with them. Discuss any relevant projects where you utilised cloud technologies to enhance AI solutions.
✨Communicate Clearly and Effectively
Excellent communication skills are crucial for this role. Practice explaining complex technical concepts in simple terms, as you may need to convey your ideas to non-technical stakeholders during the interview.
