Intern - People Science Team

Palo Alto Networks

9d • Onsite

About The Position

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Build and validate LLM-driven workflows for producing behavioral assessments or work-sample tests, focusing on construct validity and measurement equivalence. Integrate people analytics data with unstructured text data to model drivers of role effectiveness using mixed-methods workforce research. Design and create parameterized, reproducible reporting frameworks to replace manual analytics reporting of our workforce data. Own and lead 1-2 discrete projects from conception to final delivery, scoped around your area of expertise.

Requirements

• Currently enrolled in a PhD program (2nd year or later) in Industrial-Organizational Psychology, Organizational Behavior, Computational Social Science, Quantitative Psychology, or a related field.
• Strong foundations in measurement theory, research design, and an inferential framework (e.g., regression, multilevel modeling, psychometrics).
• Fluency in Python or R for research workflows, automations, and statistical modeling or machine learning.
• A proven track record of translating complex people data into actionable insights (e.g., published research, whitepapers, or previous internships).
• Proactive mindset with comfort navigating ambiguity and owning multiple projects.

Nice To Haves

• Experience with computational text analysis, such as NLP, topic modeling, or working with large language models for qualitative coding.

Responsibilities

• Build and validate LLM-driven workflows for producing behavioral assessments or work-sample tests, focusing on construct validity and measurement equivalence.
• Integrate people analytics data with unstructured text data to model drivers of role effectiveness using mixed-methods workforce research.
• Design and create parameterized, reproducible reporting frameworks to replace manual analytics reporting of our workforce data.
• Own and lead 1-2 discrete projects from conception to final delivery, scoped around your area of expertise.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees