Intern - Data Science

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

About The Organization 

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. 

Who Are We 

Warner Bros. Discovery’s Technology & Operations organization builds the machine learning and optimization models that power WBD’s advertising ecosystem across linear and digital platforms. Our data science teams turn large-scale advertising data into predictive insights that drive revenue and smarter decision-making, working across forecasting, yield optimization, personalization, and audience intelligence. 

Your New Role 

Join Warner Bros. Discovery as a Technology & Operations Data Science Intern, where you will help build the machine learning and optimization models that power WBD’s advertising ecosystem. Working alongside experienced data scientists, you will design, test, and support models for forecasting, yield optimization, personalization, and audience intelligence, and gain hands-on exposure to how AI/ML turns large-scale advertising data into predictive insights. This is a strong foundation role for a student or 2027 graduate who enjoys problem-solving, logical thinking, and working with data at scale, is curious about how AI powers advertising and business decisions, and is motivated to learn modern ML, cloud, and experimentation techniques in a collaborative, fast paced engineering environment. Structured training, on-the-job support, and mentorship from experienced data scientists and technical leaders run through the six months. 

In this role, you will:

 • Support the development, testing, and tuning of machine learning, deep learning, and generative AI models for forecasting, optimization, and personalization using Python and relevant open-source or cloud-based frameworks. 

• Work with an assigned mentor to translate a defined business need into an analytical or AI problem statement, success measures, and an achievable project plan.

 • Design and run A/B tests and evaluations covering model quality, factuality, relevance, robustness, latency, and cost, and analyze the impact of models on business outcomes.

 • Work with large, structured and semi-structured advertising datasets across cloud-based platforms, and assist with automation, monitoring, and data-quality checks that keep models running reliably.

 • Apply sound engineering practices — version control, reproducible experiments, code review, and testing — and document models, data flows, and best practices for team use. 

Key Domain 

• Machine Learning and AI: regression, classification, and clustering, deep learning, large language models, embeddings, prompt design, retrieval-augmented generation, and agentic AI workflows. 

• Programming and Data: Python, SQL, Git, APIs, and ML frameworks such as scikit-learn, TensorFlow, PyTorch, and Spark ML. 

• Cloud and Experimentation: AWS, Databricks, Azure, or GCP platforms, alongside statistics and A/B testing fundamentals.  

Core Elements 

• Duration: 6 Months 

• Eligibility: B.Tech/M.Tech 

• Date of joining: Jan 2027 

Key Learning Outcomes 

• Structured onboarding into WBD’s advertising data science and cloud ecosystem. 

• Mentorship from experienced data scientists and technical leaders. 

• Hands-on experience with ML models, experimentation, and data pipelines. 

• Exposure to the modern AdTech data and ML stack, including emerging agentic AI approaches.

 • Learning pathways to grow into Data Scientist, Machine Learning Engineer, or Applied Scientist roles by contributing to problems that impact advertising revenue and efficiency. 

How We Get Things Done 

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. 

Championing Inclusion at WBD Warner Bros. 

Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.