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Kantar

Lead Data Scientist

Reposted 8 Days Ago
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In-Office
2 Locations
Senior level
In-Office
2 Locations
Senior level
Lead Data Scientist role focusing on business optimization through advanced analytics and machine learning. Responsibilities include mentoring, project delivery, and collaboration with stakeholders to implement data-driven strategies.
The summary above was generated by AI

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.

Job Details

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

About the job

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.

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 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.

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Country

United Kingdom

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 by amplifying our in-depth expertise of human understanding alongside ground-breaking technology, we can help brands find concrete insights that will help them succeed in our fast-paced, ever shifting world.

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 supports their health and wellbeing. While we encourage teams to spend part of their working week in the office, we understand no one size fits all; our approach is flexible to ensure everybody feels included, accepted, and that we can win together. We’re dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, and 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.

Top Skills

AWS
Azure Ml
Dask
Numpy
Pandas
Python
R
Spark
SQL

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