Data Scientist

Media help partners understand the changing advertising landscape. Specialising in audience measurement, consumer targeting and in-depth intelligence into paid, owned and earned media, their global coverage and local expertise enable better understanding of media audiences and their relationships with brands.

Kantar Media is a wholly owned but operationally independent part of the Kantar Group.

Job Details

As people increasingly move across channels and platforms, Kantar Media’s data and audience measurement, targeting, analytics and advertising intelligence services unlock insights to inform powerful decision-making.

Working with panel and first-party data in over 80 countries, we have the world’s fastest growing cross-media measurement footprint, underpinned by versatility, scale, technology and expertise, to drive long-term business growth for our clients and partners.

Job Title: Data Scientist

We are on a mission to understand who watches what, when, how, with whom and for how long and we aim at doing this across different global social media (Facebook, Instagram, TikTok), traditional TV broadcasters and their online services, and new paid-for services (Netflix, Disney+, Amazon Prime, YouTube).

Kantar Media’s holistic view helps our clients and partners taking short- and long-term business decisions across 80 countries. As people increasingly consume content and adverts across channels and platforms, this complete view can only be achieved by integrating panel data and first-party datasets owned by our partners.

Kantar Media is among the world’s leading cross-media measurement providers, distinguished by its versatility, scale, technology, and expertise in measuring reach for both content (including movies, series, sports events, and news) and advertising campaigns.

The data science team sits at the heart of the Global Product Team and provides research and technical expertise, support, oversight, and methodological development to our globally operating services across 80 markets, supporting the Global Product Team to keep Kantar Media’s forefront position of technological developments in audience measurements in the media industry.

We go beyond the obvious, using intelligence, passion, and creativity to inspire new thinking and shape the world we live in. Apply for a career that’s out of the ordinary and join us.

About The Project/Role

The key area of focus for the role is the development of mathematical, statistical and machine learning models leveraging multiple data sets to support Kantar’s clients and partners in taking pivotal decisions about their broadcasting and content-programming strategies on one side, and brand advertising campaigns on the other.

The major areas of interest and development in the audience measurement space over the last few years involves the integration of multiple data sources, with a view of creating new and more complete hybrid datasets, and providing predictive tools based on these hybrid datasets to facilitate decision making processes.

These datasets that will be used for this role will include Kantar’s internally owned data, both at panel and survey level, and data from Kantar’s global partners such as global advertisers, national and international broadcasters, and global online social media and publishing platforms.

Job Role Requirements

• Develop prototypes of machine learning and statistical models in Python, ensuring they integrate seamlessly into existing data pipelines.
• Refine existing machine learning and statistical models to improve their performance and adaptability.
• Work collaboratively with data scientists, product managers, project managers, and software engineers to align project goals and optimise product development.
• Write detailed requirement documents and practical guides to facilitate the engineering team in deploying models into production environments efficiently.
• Conduct thorough data investigations to ensure the quality and completeness of datasets and oversee quality control measures for modelling outcomes.
• Actively engage in team knowledge-sharing sessions and deliver presentations to discuss findings, insights, and methodologies across the team and broader organisation.

Role Requirements

• Very strong mathematical and statistical skills, and with a passion for the development and implementation of new models.
• Programming and data analysis experience in Python, or willingness to adopt Python as primary language.
• Skilled in working with large and complex datasets with a keen eye for detail and accuracy.
• Experienced in working independently.
• An ability to demonstrate analysing data and looking for stories, patterns, trends, and insights.
• A PhD/master’s degree in a quantitative, mathematical, or scientific subject area.
• Alternatively, equivalent experience in a commercial and data science setting.
• Specifical experience with Market-Mix-Modelling and Bayesian statistics are a plus but not a requirement.
  

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