At a Glance
- Tasks: Lead a diverse team to develop and commercialise AI solutions.
- Company: Join Kantar Group Limited, a leader in data-driven insights.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on innovation and teamwork.
- Why this job: Shape the future of AI while collaborating with top experts in the field.
- Qualifications: Advanced degree in a relevant field and strong machine learning expertise.
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 for professional development and a vibrant work culture that values diversity and creativity. Our hybrid work model ensures flexibility while being part of a dynamic team dedicated to pioneering AI-led solutions.
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 sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation showcasing your past projects in AI and machine learning. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your algorithms and coding skills. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities.
✨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 🫡
Show Off Your Skills:Make sure to highlight your advanced degree and any relevant experience in machine learning and cloud platforms. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific position. Mention your experience in building AI-led solutions and leading teams, as it’ll show us you’re the perfect fit for our diverse data science team.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your communication skills shine through in your writing!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role without any hiccups!
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.
