Data Science Intern – Generative AI (Remote, ROU)

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate an inclusive culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Our University Recruiting program is dedicated to attracting and cultivating the future leaders of this industry. This program offers paid positions for students and recent grads, designed to provide exposure to work that makes an impact while being supported through a structured experience with seasoned professionals. Ready to join a mission that matters? The future of cybersecurity starts with you.

Start Date: 7th July 2025

End Date: 27th September 2025

Fully Remote:

The Data Science Internship is fully remote and requires no travel. Your work location is the city/town/province you will be working from remotely. Interns are also invited to work out of the CrowdStrike office located closest to their remote location.

About the Role:

• You will have the opportunity to apply the latest generative AI technologies to cybersecurity challenges. This includes building AI assistants, data generation models, and more to push the boundaries of AI-powered security.
• You’ll be able to leverage large-scale rich data to meaningfully improve our AI models and refine our identification of malicious computer software and behavioral threats.
• Work directly with Sr. Data Scientists on bleeding edge applications of generative adversarial networks, diffusion models, reinforcement learning, and other state-of-the-art techniques.
• Help create and refine AI agents that can automatically detect and mitigate sophisticated cyber threats.
• Experiment with new algorithms and models to generate synthetic datasets, power predictive systems, and more.
• Automate and visualize processes throughout the generative AI development pipeline.

What You’ll Need:

• You should be working towards a University degree in a field related to Computer Science, Maths, Information Systems, Engineering, etc.
• Analytically minded with completed coursework in linear algebra, calculus, statistics, machine learning theory or an equivalent knowledge of applied mathematics.
• Experienced in writing python code to pre-process and analyze data to generate actionable insights and train AI models.
• Knowledge of object oriented programming, data structures and algorithms
• Passionate about staying on top of the latest advancements in generative adversarial networks, diffusion models, data generation, and other AI techniques.

Bonus Points:

• PhD or Master’s students in a field related to Computer Science, Maths, Information Systems, Engineering, etc.
• Eagerness to learn and experiment with generative AI models.
• Experience working with large datasets and neural network architectures.
• Familiarity with Linux, cloud computing, CI/CD pipelines, Docker, Kubernetes, etc.
• Knowledge of cybersecurity challenges and how AI can be applied to tackle them.
• Willing to learn to contribute to the open source community (GitHub, Stack Overflow, blogging)

#LI-HP1

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What You Can Expect:

• Remote-friendly and flexible work culture
• Market leader in compensation and equity awards
• Paid holidays (including birthday holidays) and 401k matching (where applicable)
• Professional development opportunities including workshops, tech talks, and Executive Speaker Series
• Assigned mentors from across the company for continuous support and feedback
• Participation in companywide initiatives including ERGs, FalconFIT, Wellness Programs, and Employee Assistance Program
• Employee Resource Groups, geographic neighbourhood groups and volunteer opportunities to build connections
• Vibrant office culture with world class amenities
• Ownership of impactful projects that move the company forward
• Great Place to Work Certified™ across the globe

CrowdStrike is proud to be an equal opportunity and affirmative action employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation – generating the best possible outcomes for our customers and the communities they serve.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions–including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs–on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.

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