Lead Data Scientist in London

Lead Data Scientist in London

London Full-Time 80000 - 100000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead innovative AI and data science projects that shape the future of marketing.
  • Company: Join Kantar, a global leader in AI-native marketing data and analytics.
  • Benefits: Enjoy a hybrid work model, competitive pay, and a supportive environment.
  • Other info: Diverse and inclusive workplace that values mental health and well-being.
  • Why this job: Make a real impact with cutting-edge technology in a dynamic team.
  • Qualifications: Advanced degree in relevant field and experience in AI/ML product development.

The predicted salary is between 80000 - 100000 ÂŁ per year.

We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Kantar is the world’s leading AI-native marketing data and analytics business and an indispensable brand partner to the world’s top companies. We combine the most meaningful attitudinal and behavioural data with deep expertise and advanced analytics to uncover how people think and act. We help clients understand what has happened and why and how to shape the marketing strategies that shape their future.

We are searching for a dynamic Lead Data Scientist to join our team and evolve, build, and lead our portfolio of AI, Machine learning and sophisticated data science solutions. This position offers an outstanding opportunity to lead and develop some of the most exciting and challenging AI-led projects for Kantar and its clients, and make an impact in a fast-paced, entrepreneurial environment.

Job Goals

As a leader you will be responsible for collaborating with the Chief AI Scientist and the Executive Committee to build an outstanding portfolio of AI-led solutions within KANTAR, employing the latest developments in AI/ML. You will engage in several R&D efforts to demonstrate and develop new capabilities, algorithms, and technologies across the entire breadth of data science, including but not limited to Generative AI. Subsequently, you will work closely with Engineering, Product, Operations, and Commercial teams to scale and commercialize the products and solutions you develop.

In this role, you are accountable for the process of translating potential AI, ML and other data science ideas into concrete, scalable products. You will work hands-on and lead a very hardworking, cross-functional, and geographical team with multifaceted strengths of data scientists. As part of the global data science and innovation team, you will serve as a representative and ambassador for data science, AI, and ML-led solutions with all collaborators.

Ideal Skills & Capabilities

  • Advanced degree or equivalent experience from world-class technical institutes in relevant field
  • Demonstrated ability in Data science including traditional supervised and unsupervised machine learning methods, with some exposure to / experience in Generative AI in the last few years.
  • Strong background in mathematics, probability, analytic problem solving and multivariate statistics
  • Confirmed experience of having led, or responsible for AI / ML product / solution development.
  • Demonstrable experience in building and deploying applications on cloud platforms like Azure/AWS/Google Cloud using server-less architecture.
  • Proficiency in tools such as Azure machine learning service, Amazon Sagemaker, Google Cloud AI
  • Proficiency with Python is critical
  • Ambitious, dedicated, curious, and entrepreneurial
  • Experience in Agile working methodologies for product development
  • Excellent (English) communication skills to address both technical audience and business stakeholders
  • Comfortable working in global set-ups with diverse cross-geography teams and cultures
  • Technology savvy – closely follows the latest developments in Data Science and technology
  • Willing to try out new things and quickly prototype solutions.
  • Meticulous and deep attention to detail
  • Being able to straddle ‘big picture strategy’ and ‘tactical details’ with ease

Please be aware, the majority of our roles are hybrid, working three days a week in our office. We’re not able to offer visa sponsorship or help with relocation support for this role. Please make sure you’ve got the right to work in the country where this role is located before applying.

Why join Kantar?

We shape the brands of tomorrow by better understanding people everywhere. By understanding people, we can understand what drives their decisions, actions, and aspirations on a global scale. And if we combine the expertise of our people with the latest AI technology, we can really help brands discover some amazing insights. And because we know people, we like to make sure our own people are being looked after as well. Equality of opportunity for everyone is our highest priority and we support our colleagues to work in a way that works for them. We encourage applications from all backgrounds and sections of society. Even if you feel like you’re not an exact match, we’d love to receive your application and talk to you about this job or others at Kantar.

Privacy and Legal Statement

At Kantar, the diversity of our employees provides a richer environment for our employees and broader depth and breadth of thinking for our clients. Kantar is committed to inclusion and diversity; therefore, we welcome applications from all sections of society and do not discriminate based on age, race, religion, gender, pregnancy, sexual orientation, gender identity, disability, marital status, or any other legally protected characteristics.

PRIVACY DISCLOSURE: Please note that by applying to this opportunity you consent to the personal data you provide to us to be processed and retained by The Kantar Group Limited (“Kantar”). Your details will be kept on our Internal ATS (Applicant Tracking System) for as long as is necessary for the purposes of recruitment, which may include your details being shared with the hiring manager.

Kantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar’s 30,000 people help the world’s leading organisations succeed and grow.

Lead Data Scientist in London employer: Kantar

Kantar is an exceptional employer that fosters a dynamic and inclusive work culture, where creativity and innovation thrive. Located in the vibrant South Bank area of London, employees benefit from a hybrid working model, competitive rewards, and ample opportunities for professional growth in cutting-edge AI and data science projects. With a strong commitment to diversity and employee well-being, Kantar empowers its team members to make meaningful contributions while enjoying a supportive environment.
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Contact Detail:

Kantar Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Scientist in London

✨Tip Number 1

Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and machine learning. This gives potential employers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by practising common questions and scenarios related to data science. We want to see how you think on your feet, so be ready to discuss your past experiences!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to join our team.

We think you need these skills to ace Lead Data Scientist in London

Data Science
Machine Learning
Generative AI
Mathematics
Probability
Analytic Problem Solving
Multivariate Statistics
AI/ML Product Development
Cloud Platforms (Azure/AWS/Google Cloud)
Server-less Architecture
Python
Agile Methodologies
Communication Skills
Cross-Functional Team Leadership
Attention to Detail

Some tips for your application 🫡

Show Your Passion: When writing your application, let your enthusiasm for data science and AI shine through. We want to see your passion for the field and how it drives your work. Share specific examples of projects or experiences that fuel your excitement!

Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight relevant skills and experiences that align with the job description. We love seeing how your background fits into our vision at Kantar, so don’t hold back!

Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your experience and skills. We appreciate a well-structured application that makes it easy for us to see why you’re a great fit for the team.

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about Kantar and what we stand for.

How to prepare for a job interview at Kantar

✨Know Your AI and ML Inside Out

Make sure you brush up on the latest developments in AI and machine learning, especially generative AI. Be ready to discuss your experience with these technologies and how you've applied them in real-world scenarios.

✨Showcase Your Leadership Skills

As a Lead Data Scientist, you'll need to demonstrate your ability to lead cross-functional teams. Prepare examples of how you've successfully managed projects or guided teams in the past, highlighting your collaborative approach.

✨Be Ready for Technical Questions

Expect to face technical questions that test your knowledge of data science methodologies and tools. Brush up on your Python skills and be prepared to discuss cloud platforms like Azure or AWS, as well as any relevant algorithms you've worked with.

✨Communicate Clearly and Confidently

You’ll need to convey complex ideas to both technical and non-technical audiences. Practice explaining your past projects and findings in a way that's easy to understand, showcasing your excellent communication skills.

Lead Data Scientist in London
Kantar
Location: London

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