K

Data Scientist - Ad Intel

icon building Empresa : Kantar
icon briefcase Tipo de Emprego : Periodo Integral

Número de Aplicantes

 : 

000+

Click to reveal the number of candidates who applied for this job.
icon loader
icon loader

Let AI Supercharge Your Job Hunt!

JobCopilot scans 500,000+ company career sites daily to find jobs for you

Never miss an opportunity Save hours by auto-filling applications forms Land more interviews with tailored applications
happy man
thunder iconActivate JobCopilot

Descrição do Emprego - Data Scientist - Ad Intel

Kantar Media is a global leader in data, insights, and consulting services, specialising in media measurement, audience analysis, and advertising effectiveness. As people increasingly move across channels and platforms, our data and audience measurement, targeting, analytics and advertising intelligence services unlock insights to inform powerful decision-making. We help brands, agencies, and media owners navigate the complex world of media and advertising through cutting-edge technology and deep expertise. Our presence in over 80 countries and innovative approach has earned us a global reputation for delivering actionable insights that shape the future of the media landscape.

#LI-KantarMedia

Job Details

We are seeking a Data Scientist to join the Ad Intel transformation team, focusing on AI-driven solutions for TV content segmentation and classification. In this role, you will build and optimize machine-learning pipelines that analyze TV content - including segmenting programs, detecting events, classifying scenes, and extracting insights using state-of-the-art AI. You will work with frontier GenAI models and develop custom models when required to address unique media-industry challenges. This position requires someone who can turn data into actionable insights and communicate findings clearly to both technical and non-technical stakeholders.

Key Responsibilities

  • Intelligence & ML Development: Build and optimize machine-learning models and pipelines for video segmentation, classification, and semantic understanding.
  • GenAI and Frontier Model Integration: Evaluate, fine-tune, and apply multimodal GenAI and frontier video models to extract insights and automate metadata generation.
  • Data Engineering & MLOps: Develop scalable data pipelines and collaborate on deploying, monitoring, and optimizing video-focused ML models in production
  • Cross-Functional Collaboration: Work closely with internal and external product and engineering teams to define requirements, deliver insights, and communicate model performance effectively.

Requirements:

  • The ideal candidate combines strong technical expertise in data science with a passion for innovation in media analytics. They are skilled in applying statistical methods, machine learning techniques, and data engineering practices to solve complex problems and deliver actionable insights.
  • They thrive in collaborative, fast-paced environments and are eager to stay current with emerging tools and techniques to continuously improve outcomes.
  • Minimum 3-5 years of experience in data science or machine learning roles, preferably within media, technology, or data-driven environments.
  • Experience working with frontier AI models (e.g., GPT-5.1, Gemini 3) and their application in video or multimodal analysis.
  • Hands-on experience with video, audio, or multimodal data processing.
  • Experience working in cross-functional, agile product development teams (e.g., using Scrum or SAFE) as well as familiarity with cloud platforms (GCP, Azure, or AWS) is desirable.

Skills & Qualifications

  • Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
  • Strong competence in Python including common data science libraries (e.g., Pandas, Scikit-learn, or TensorFlow) as well as multimodal data processing libraries (e.g., OpenCV, FFmpeg).
  • Expertise in supervised and unsupervised learning, deep learning architectures, and model optimization.
  • Knowledge of TV/media data structures and familiarity with video/audio feature extraction is a plus.
  • Strong analytical and problem-solving skills, with attention to detail and quality
  • Excellent communication skills to explain technical concepts to non-technical stakeholders.
  • Advanced/fluent English.

Why Join Us?

  • Be part of a groundbreaking initiative transforming TV monitoring through AI.
  • Work with a collaborative team of experts in data science, technology, and media operations.
  • Opportunity to innovate and shape the future of advertising intelligence at scale

Country

Brazil

Why join Kantar Media?

We pride ourselves on understanding people, and what makes us think and act the way we do.

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 Media.

Original job Data Scientist - Ad Intel posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
Share Job
Share Job

Auto-Apply to Data Scientist Jobs with your AI JobCopilot

thunder icon Auto-Apply with AI

Similar Data Scientist Jobs in Brazil

O GrabJobs é o portal de empregos número 1 em Brazil, conectando você rapidamente a milhares de empregos de ! Encontre os melhores empregos de em Brazil, candidate-se com apenas 1 clique e consiga um emprego hoje!

Aplicativos de Celular

Copyright © 2026 Grabjobs Pte.Ltd. All Rights Reserved.