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Epic Games

Data Science Intern

Epic Games is hiring a Data Science Intern. Level rates it ; you can apply on Epic Games.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions scikit-learn, Python and pandas among its tools and skills.
  • Level classes it as an internship.
  • Epic Games has 136 other open roles on Level.

AI in this role

Build and evaluate machine learning models for fraud and abuse detection as a Data Science Intern on Epic's Ecosystem Security team.

scikit-learnpythonpandassql
nlp

WHAT MAKES US EPIC?

At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.

Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.

ECOSEC

What We Do

Our ECOSEC team provides a safer experience for Epic's users. We work across multiple products and services to improve technology and craft transparent policies so our players and users can have positive experiences on our platforms.

DATA SCIENCE INTERN

What You'll Do

We are looking for a Data Science Intern to join the Ecosystem Security team supporting initiatives related to fraud and abuse detection. As part of the EcoSec team, you will be given a detection problem to own as part of our development cycle. You will work with your data science mentor and the operations analysts who investigate these cases to explore the data, build a model, and measure its impact on how we protect players.

In this role, you will

  • Explore large transaction, account, gameplay, and behavioral datasets to characterize how a specific form of abuse actually works
  • Build and evaluate statistical or machine learning models that detect abusive activity at scale
  • Partner with operations analysts to translate their investigation heuristics into model features, and measure your results against real outcomes like confirmed cases and false positive rates
  • Build dashboards or monitoring so the team can track your signal without an analyst in the loop
  • Document your data sources, methodology, and findings so the work can be extended after your internship, and present your results to the team

What we're looking for

  • Experience with Python for data analysis, pandas and scikit-learn preferred
  • Ability to write SQL against large datasets to pull and shape your own data
  • A grounding in statistics and machine learning fundamentals, including classification and evaluation metrics beyond accuracy
  • A desire to develop strong data science and software development skills
  • Genuine curiosity about adversarial problems, specifically how and why people find ways to game a system
  • Good interpersonal and communication skills, with demonstrated ability to communicate technical findings within a team
  • The ability to react and respond effectively to constructive feedback
  • A flexible approach to rapidly evolving problems, and comfort working with messy or sparsely labeled data
  • Nice to have: exposure to any of anomaly detection, graph or network analysis, text classification and NLP, or sequence and time-series modeling
  • Nice to have: interest in games, live services, or online trust and safety

This internship has a flexible start date in 2027. Recruitment will be ongoing until teams find an ideal match. Applicants must be legally authorized to work in the posting location for the duration of the internship. For more information about Epic’s Early Career Program, visit epicgames.com/earlycareers. This is going to be Epic!

ABOUT US

Epic Games​ ​is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.

Like what you hear? Come be a part of something Epic!

Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.

Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

How we rate this

Data Science Intern at Epic Games rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPscikit-learnPythonpandasSQL

Questions you could be asked

  1. What NLP problem have you worked on, and how did you measure whether it actually worked?
  2. Walk me through how you've used scikit-learn in your day-to-day work.
  3. What are the limits of Python that you've run into, and how did you work around them?
  4. What's a project where you used pandas hands-on?
  5. Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: NLP, scikit-learn, Python, pandas, and SQL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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