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    Junior Data Scientist - London, United Kingdom - Kantar Media

    Kantar Media
    Kantar Media London, United Kingdom

    2 weeks ago

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    Description


    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.

    Our versatility, scale, technology, and expertise enable our 5000 people across Latin America, Europe, the Middle East, Asia Pacific, North America, and Africa to understand audiences and help the world's leading organisations succeed and grow.


    Job Title:

    Junior Data ScientistLocation:
    London, Grays Inn RoadSalary: CompetitiveFull time/PermanentKantar is the leader in providing audience and advertising measurement tools and intelligence.

    With a track record in audience research services across 50+ countries, Kantar is at the forefront of technological developments in audience measurement in the media industry, working with broadcasters and advertisers, media agencies and industry committees.

    The data science team provides research and technical expertise, support, oversight, and methodological development to our global operating services and sits within the Global Product team.

    About the Project/RoleThe key area of focus for the role is the development and improvement of mathematical and statistical models demonstrating different data sets both at panel level and at census level.

    These will include Kantar's internally owned data and data from Kantar's global partners such as global advertisers, national and international broadcasters, and global online social media and publishing platforms.

    The major area of interest and development in the audience measurement space over the last few years involve the integration of multiple data sources, with a view of creating new and more complete hybrid datasets.

    These data sets combine TV and digital advertising platforms information and use the accuracy of panel-based data together with the breath and extension of census level information.

    The goal is to have individual-level information across advertising platforms and media, providing all the usual features such as demographic reach and frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes.

    Job Role RequirementsDesign and refine machine learning and statistical models to improve their performance and adaptability.
    Develop prototypes of statistical and machine learning models in Python, ensuring they integrate seamlessly into existing data pipelines.

    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 RequirementsVery strong mathematical and statistical skills, and with a passion for the development and implementation of new models.

    Programming and data analysis experience in PythonSkilled 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 settingAt Kantar we have an integrated way of rewarding our people based around a simple, clear, and consistent set of principles.

    Our approach helps to ensure we are market competitive and to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver.

    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.

    We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted, and are allowed to flourish in a space where their mental health and wellbeing is taken into consideration.

    We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.

    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 and Legal StatementPRIVACY 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(s) and for consideration for potential future opportunities by Kantar and its affiliate Kantar group companies.

    For full details of our privacy policy please visit
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