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 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.

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.

Company Benefits

• Private Medical Cover
• Life Assuranc
• Pension

Flexible benefits

• Health Assessment
• Dental Insurance
• Private Medical – increase your cover
• Healthcare Cash Plan – add your dependants
• Pension – increase your employee contributions
• Critical Illness Life Assurance – flex your cover
• Partner Life Assurance Income Protection – flex your cover

Lifestyle Flexible benefits

• Holiday Buy & Sell
• Discount Gym
• Retail Discounts
• Cashback Travel Insurance
• Give as You Earn
• Wine Club Dining Card
• Cycle to Work
• Gadget Insurance
• Kids Pass
• Employee Assistance Programme
• Eyecare Scheme
• Season Ticket Loan

Interview Process

• screening call wit talent acquisition
• 45 minute, informal interview via Teams, wit the hiring manager
• 1.5 hour python task
• 1 hour interview with case study presentation.