Data Scientist Intern

France·ParisInternshipentry

OtherData Scientist Intern

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Quick Summary

Key Responsibilities

Improving existing algorithms and building new prediction models for large-scale, high-volume data scenarios Identifying key performance issues and proposing innovative,

Requirements Summary

Looking for a 6 months internship starting in September Currently pursuing a Master’s degree in Applied Mathematics, Computer Science,

Technical Tools

OtherData Scientist Intern

👫About the team

At Equativ, we’re on a mission to develop advertising technologies that empower our customers to reach their digital business goals. This means that we rely on massively scalable, widely distributed, highly available, and efficient software systems; the platform deals with over 3 millions requests per second managed by 3,000 servers.

Our innovation team based in Paris, Nantes, Limoges, Krakow and Berlin is composed of 100+ straightforward and energetic engineers working in an Agile environment and ready to tackle the most complex technical challenges.

Join our Data Science team in Paris and help us design and deploy powerful deep-learning algorithms that enhance our products every day. We train our models on Google Cloud Platform with billions of logs and serve them in our own data centers. Our stack includes Google Dataflow, Vertex AI, and TensorFlow, powering neural networks that generate over 1 million predictions per second, each processed in under 2 milliseconds.

You'll get hands-on experience with a wide range of machine learning problems—classification, regression, time series, recommendation systems, generative AI—all powered by more data than you can imagine 😉. Your work will have a visible impact, fast.

As part of the Data Science team, your responsibilities will include:

Improving existing algorithms and building new prediction models for large-scale, high-volume data scenarios

Identifying key performance issues and proposing innovative, data-driven solutions

Collaborating with team members to enhance our optimization and modeling systems

Minimum Qualifications:

Looking for a 6 months internship starting in September

Currently pursuing a Master’s degree in Applied Mathematics, Computer Science, or a related field (final-year or gap year)

Solid foundation in machine learning and mathematics

Proficient in Python

Strong analytical and problem-solving skills

Entrepreneurial mindset with a knack for spotting areas for improvement

Professional fluency in English, both written and spoken

Passion for reading, analyzing, and critiquing scientific papers

Personal ML/AI projects, especially with open-source contributions or shared code

A love for playing with massive datasets

👋 About us

Equativ, a leading independent ad platform, brings scale and simplicity to digital advertising. Following its recent merger with Sharethrough and the acquisition of Kamino Retail, advertisers, media owners, and technology partners rely on Equativ’s advanced SSP, curation, and retail media services and technology to achieve maximum business outcomes.With a focus on privacy-first programmatic video, CTV, and data-driven solutions, Equativ enables clients to activate across the digital ecosystem while protecting consumer privacy. The company’s global expertise is also backed by a team of over 750 employees across 19 countries. As a proud recipient of the HappyIndex@Work label, Equativ is committed to providing a dynamic, flexible workplace where employees thrive, grow, and excel in both their professional and personal lives. Come and lead the charge with us in building a transparent ecosystem based on quality!

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Equativ is an equal opportunity employer. Equal access to employment, services, and programs are available to everyone, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you require reasonable accommodation throughout the application and/or interview process, please contact the recruitment team at ta-team@equativ.com