Lead Data Scientist in London

Lead Data Scientist in London

London Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a team to extract insights from complex data and optimise business strategies.
  • Company: Join Kantar, the world's leading data and insights company.
  • Benefits: Flexible working, career progression, and a culture of diversity and inclusion.
  • Why this job: Shape the future of market research and drive impactful results for global brands.
  • Qualifications: Expertise in data science, machine learning, and leadership skills required.
  • Other info: Hybrid work model with a focus on continuous learning and innovation.

The predicted salary is between 36000 - 60000 ÂŁ per year.

Location: Reading, King's Road

We're the world's leading data, insights, and consulting company; we shape the brands of tomorrow by better understanding people everywhere.

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.

What part of Kantar might I be joining?

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.

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.

Lead Data Scientist in London employer: Kantar Group

At Kantar, we pride ourselves on being a leading employer in the data and insights sector, offering a dynamic work environment in Reading that fosters innovation and collaboration. As a Lead Data Scientist, you will benefit from flexible working arrangements, comprehensive learning and development opportunities, and a culture that champions diversity and inclusion, empowering you to reach your full potential while making a meaningful impact on global brands.
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Contact Detail:

Kantar Group 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 landing the Lead Data Scientist role.

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and machine learning techniques. We want to see how you can apply your knowledge to real-world problems!

✨Tip Number 3

Showcase your leadership skills! Think of examples where you've successfully led a team or project. Kantar values collaboration, so highlight how you can guide a team of data scientists to achieve great results.

✨Tip Number 4

Don’t forget to demonstrate your passion for continuous learning! Share any recent courses or projects that showcase your commitment to staying ahead in the data science field. This will resonate well with Kantar's culture of innovation.

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 Approach

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead Data Scientist role. Highlight your expertise in data mining, predictive modelling, and any relevant projects you've led. 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 tell us why you're passionate about data science and how you can contribute to our team. Mention specific technologies or methodologies you’ve used that relate to the job description.

Showcase Your Leadership Skills: Since this role involves mentoring a team, don’t forget to highlight your leadership experience. Share examples of how you've guided teams in the past and the impact it had on project outcomes. We love seeing candidates who can inspire others!

Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Kantar Group

✨Know Your Data Science Stuff

Make sure you brush up on your advanced analytics skills, especially in data mining, predictive modelling, and machine learning. Be ready to discuss specific projects where you've applied these techniques and the impact they had on business optimisation.

✨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. Highlight your ability to manage complex projects from start to finish.

✨Familiarise Yourself with Tools and Technologies

Get comfortable with the technical tools mentioned in the job description, like Python, SQL, and cloud platforms. If you have experience with CI/CD pipelines or ML Ops, be sure to mention it. Showing that you're up-to-date with the latest technologies will set you apart.

✨Understand the Company Culture

Research Kantar's values around diversity, inclusion, and innovation. Be prepared to discuss how you can contribute to this culture and promote continuous learning within your team. This shows that you're not just a fit for the role, but also for the company as a whole.

Lead Data Scientist in London
Kantar Group
Location: London

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