At a Glance
- Tasks: Lead a team of data scientists to drive business optimisation through advanced analytics.
- Company: Join Kantar, the world's leading data and insights company shaping brands globally.
- Benefits: Enjoy flexible working, career progression, and a culture that values diversity and innovation.
- Why this job: Make a real impact by harnessing data to shape the future of market research.
- Qualifications: Expertise in data science, machine learning, and leadership skills required.
- Other info: Hybrid work model with opportunities for continuous learning and development.
The predicted salary is between 36000 - 60000 £ per year.
We’re the world’s leading data, insights, and consulting company; we shape the brands of tomorrow by better understanding people everywhere. Kantar’s Profiles division is home to the world’s largest audience network. With access to 170m+ people in over 100 global markets, we offer unrivalled global reach with local relevancy. Validated by industry leading anti-fraud technology, Kantar’s Profiles Audience Network delivers the most meaningful data with consistency, accuracy, and accountability – all at speed and scale.
As a Lead Data Scientist, you will play a pivotal role in driving excellence for business optimisation! You will harness advanced analytical techniques and machine learning expertise to extract valuable insights from complex datasets. You will embed sophisticated data science techniques inside critical applications (such as pricing, yield etc). The selected candidate will guide a team of data scientists in collaborating with cross-functional stakeholders, identifying business opportunities, recommending data-driven strategies, and shaping key decisions. You will deliver impactful solutions, optimising processes, and enhancing products. You will also promote a culture of continuous learning, empowering the team to push the boundaries of data science, catalysing growth and success for the organisation!
Job Goals
- Collaborate with Data Engineering and other Data Science teams to launch and deliver key business optimisation projects within set timelines (examples include: Pricing, Yield, Forecasting Capacity, Media Optimisation etc).
- Engage with diverse stakeholders across departments to understand business priorities and align data science initiatives accordingly.
- Lead and mentor a team of data scientists to ensure successful completion of critical projects, meeting or exceeding expected outcomes.
- Champion the adoption of new technologies, tools, and methodologies to enhance data processes and promote continuous improvement.
- Establish and maintain robust visualisation and monitoring systems to track performance metrics and alert on key changes.
- Promote best practices and compliance with Data Privacy and Data Security standards throughout all team activities.
- Document all projects comprehensively, ensuring knowledge is shared and accessible for ongoing and future work.
Ideal Skills & Capabilities
- Advanced Analytics Mastery: Expertise in data mining, predictive modelling, forecasting, optimisation and machine learning, delivering actionable insights and business optimisation solutions.
- Technical Excellence: Deep proficiency in Python, possibly R for prototyping, SQL, and specialist tools such as Pandas, NumPy, Spark, and Dask; hands-on experience with cloud platforms (Azure ML, AWS) and ML Ops for robust model deployment and automation. CI/CD pipelines experience is advantageous.
- Ethical and Secure Data Stewardship: Extensive knowledge of data privacy, security compliance, and best practices for responsible data handling throughout the project lifecycle.
- Leadership and Delivery: Demonstrated ability to lead and mentor high-performing data science teams, managing complex projects from conception to impactful delivery in commercial environments.
- Innovative Approach: Enthusiasm for exploring the latest technologies and integrating emerging best practices, ensuring continuous improvement and growth for both the team and the organisation.
What We Offer
As a Lead Data Scientist, you will have the opportunity to work with a diverse and dedicated team of data scientists, data engineers, and other professionals. You will be part of a team that shapes the future of panel market research and drives results for brands everywhere. You will also enjoy flexible working arrangements that support your health and wellbeing. You will have access to learning and development opportunities, mentoring and coaching, and career progression paths. You will also be part of a culture that values diversity, inclusion, and innovation, and encourages you to unleash your potential at Kantar.
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.
You’ll be joining our Data division, home to specialists in survey design, sampling and data science. With the world’s largest audience network (over 170 million people), we’re trusted by many of the worlds leading brands to provide amazing insights from real people.
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 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.
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.
Lead Data Scientist in London employer: KANTAR
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 current employees at Kantar on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. It’s all about making connections!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you’ll be working with advanced analytics and machine learning, make sure you can discuss your past projects and how you’ve used these techniques to drive business optimisation.
✨Tip Number 3
Show off your leadership skills! Be ready to talk about how you’ve mentored others or led teams in the past. Kantar values collaboration, so highlight your ability to work with cross-functional teams to achieve results.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Kantar team.
We think you need these skills to ace Lead Data Scientist in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced analytics mastery and technical excellence in your application. We want to see how your expertise in data mining, predictive modelling, and machine learning can drive business optimisation!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences that align with the Lead Data Scientist role. We love seeing how you can fit into our team and contribute to our goals.
Be Clear and Concise: When writing your application, keep it clear and concise. We appreciate straightforward communication, so make sure your points are easy to understand and get straight to the heart of your achievements and capabilities.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people!
How to prepare for a job interview at KANTAR
✨Know Your Data Science Stuff
Make sure you brush up on your advanced analytics skills, especially in areas like predictive modelling and machine learning. Be ready to discuss specific projects where you've applied these techniques and the impact they had on business outcomes.
✨Showcase Your Leadership Skills
As a Lead Data Scientist, you'll be guiding a team. Prepare examples of how you've successfully led teams in the past, mentored junior data scientists, and collaborated with cross-functional stakeholders to drive projects forward.
✨Familiarise Yourself with Kantar's Values
Understand Kantar’s mission and values, especially around diversity, inclusion, and innovation. Be prepared to discuss how you can contribute to these values and promote a culture of continuous learning within the team.
✨Prepare for Technical Questions
Expect technical questions related to Python, SQL, and cloud platforms like Azure ML or AWS. Brush up on your knowledge of CI/CD pipelines and be ready to explain how you've used these tools in previous roles to enhance data processes.