Job Posting Title Associate Data Scientist
Location: CZE - Prague
Remote Type: Work from office
Time Type: Full time
Job Description
2026 Summer Intern - Job Description
About Us
Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.
Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results.When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs.
At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.If this sounds like you, we’d love you to be part of Gen.
About the role
This is a 3-month full-time (40 hours/week) onsite summer internship, running from June 15th to September 15th.
As an intern, you will support the development of anti-scam protection technologies and contribute to prototyping innovative AI-based solutions for new cybersecurity products. You will join a team focused on tackling the rapidly evolving landscape of online scams through research, data, and advanced machine learning approaches.
About the team
Our team focuses on emerging cybersecurity challenges driven by increasingly autonomous and AI-powered systems. Our mission is to understand and anticipate threats ranging from scams and social engineering to vulnerabilities in agent-based workflows and AI-integrated products. We conduct applied research and develop robust, AI-powered protection mechanisms that can operate in dynamic, adversarial environments. Success in this space requires continuously adapting to evolving attacker tactics, securing agent behavior and decision-making, and building resilient, self-improving systems. We rely on a diverse team of security experts and AI researchers to stay ahead of this rapidly shifting landscape.
What you will do in this role
- Following trends in AI-driven and agentic systems, cybersafety including scams, social engineering, and adversarial use of AI
- Creating datasets for training and evaluating AI-based protection systems, including agent behavior and threat scenarios
- Collaborating with AI and security experts to design and prototype robust, secure AI and agent-based solutions
- Having fun in implementing new and unconventional ideas in cutting-edge cybersecurity domains!
What You’ll Need To Be Successful In This Role
- You have programming or scripting experience in Python
- You have a basic understanding of cybersecurity concepts
- You are familiar with machine learning and/or large language models
- You are curious, proactive, and eager to explore new ideas
- You have good communication and presentation skills
Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds.
We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency.
To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.
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