Junior Engineer - Working Student Thesis

About Gen:

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:

You’ll be part of our Data & Reporting team in Threat Labs, helping us work with data that supports the classification of threats and improves our understanding of the ever-changing threat landscape. You will collaborate with malware analysts, researchers, and engineers to explore datasets, prepare data for analysis, and help derive insights that improve our threat intelligence systems.

We are looking for an ambitious university student who is curious about data, eager to learn, and not afraid of tackling new challenges. You will gain hands-on experience working with real-world cybersecurity data and learn how data analysis supports threat intelligence and security research.

Competencies

- Basic knowledge of SQL and working with databases

- Interest in data analysis, including exploring datasets, identifying patterns, and drawing insights

- Some experience with data analysis tools or languages (e.g., Python, R, Excel, or similar – academic projects or hobbies count)

- Basic knowledge of Git and collaboration on projects

- English communication skills (both written and verbal)

- Team player, ambitious, reliable, flexible, and willing to learn new skills

- Interest in technology, cybersecurity, or data-related topics demonstrated through studies, projects, or hobbies

Nice to Have

- Basic knowledge of Python for data analysis (e.g., pandas, notebooks, scripting)

- Experience with Linux environment

- Experience with Google Cloud Platform or other cloud platforms

- Interest or basic knowledge in cybersecurity

- Familiarity with Terraform or infrastructure-as-code concepts