Summer (3-month) full-time data science internship researching and developing ML/AI models (NLP, anomaly detection, classification). Collaborate with data analysts, developers, and global teams to implement models and advance ML infrastructure.

The role involves conducting advanced data science research focusing on applying state-of-the-art methodologies in cybersecurity. Responsibilities include leading long-horizon research, designing LLM workflows, and translating academic findings into practical applications.

Lead enterprise data architecture, ensuring alignment with business strategy and digital transformation. Oversee the development of secure, scalable data platforms enabling advanced analytics and AI integration while managing a team of data professionals.