Lead Data Scientist in London

Lead Data Scientist in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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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.

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 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.

Lead Data Scientist in London employer: Kantar Group Limited

Kantar is an exceptional employer that prioritises employee wellbeing and professional growth, offering flexible working arrangements and a culture of inclusion and innovation. As a Lead Data Scientist, you will collaborate with a diverse team, leveraging advanced analytics to drive impactful business solutions while enjoying ample opportunities for learning and career progression in a supportive environment.
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Contact Detail:

Kantar Group Limited 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 great 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

Advanced Analytics Mastery
Data Mining
Predictive Modelling
Forecasting
Optimisation
Machine Learning
Python
R
SQL
Pandas
NumPy
Spark
Dask
Cloud Platforms (Azure ML, AWS)
ML Ops
CI/CD Pipelines
Data Privacy Compliance
Data Security Best Practices
Leadership
Mentoring
Project Management
Innovative Thinking

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with advanced analytics, machine learning, and any relevant projects that showcase your skills. We want to see how you can drive business optimisation!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your leadership experience aligns with our goals at Kantar. Let us know how you can contribute to our culture of continuous learning.

Showcase Your Technical Skills: Don’t forget to highlight your technical expertise in Python, SQL, and any cloud platforms you've worked with. We’re looking for someone who can champion new technologies and methodologies, so make sure we see that in your application!

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 ensure it gets into the right hands. Plus, it shows you’re keen on joining our team at Kantar!

How to prepare for a job interview at Kantar Group Limited

✨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, as well as the tools you used, like Python or SQL.

✨Show Off Your Leadership Skills

As a Lead Data Scientist, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've guided teams in the past, tackled complex projects, and collaborated with cross-functional stakeholders to achieve business goals.

✨Understand the Business Context

Familiarise yourself with Kantar's mission and the specific role data science plays in shaping brands. Think about how your work can drive business optimisation and be ready to suggest data-driven strategies that align with their objectives.

✨Emphasise Continuous Learning

Kantar values a culture of continuous improvement, so be prepared to discuss how you stay updated with the latest technologies and methodologies in data science. Share any recent courses or certifications you've completed that showcase your commitment to professional growth.

Lead Data Scientist in London
Kantar Group Limited
Location: London

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