People Intelligence Intern

Job Description

People Intelligence Intern | Chainlink Labs

The Tone:
This is a full-time internship at Chainlink Labs, located remotely. Chainlink is the industry-standard oracle platform, powering the majority of decentralized finance and bringing capital markets onchain through essential data, interoperability, compliance, and privacy standards. This role is integral to the Centre of People Intelligence, a crucial cross-functional team dedicated to transforming complex people data into decision-grade insights. As an intern, you will contribute directly to predictive modeling efforts, helping to address key organizational challenges like burnout, collaboration, and attrition, operating at the intersection of behavioral science, advanced analytics, and AI.

The TL;DR
• Role: Internship
• Type: Full-time
• Location: Remote

• Team: Centre of People Intelligence (COPI), supporting the People Insights & Analytics workstream
• Mission: To deliver decision-grade people insights and predictive models that enable earlier and more effective talent decisions across the organization.
• Tech Stack: Python, R, statistical analysis tools

What You’ll Actually Do
• Insight Generation: Apply statistical analysis and predictive modelling to generate deep insights on key talent themes including work-life integration, employee retention, organizational health, and collaboration patterns.
• Model Development: Support the development and refinement of data-driven models that identify emerging people trends and enable proactive talent decisions.
• Data Pattern Identification: Analyze behavioural, engagement, and broader workforce data to surface critical patterns and identify opportunities for improving team effectiveness and overall organizational performance.
• Early Warning Detection: Analyze employee communication metadata, sentiment signals, and survey data to detect and surface early-warning indicators of potential issues or areas for improvement.
• Strategic Communication: Partner closely with People Team stakeholders to present clear, defensible, and actionable insights that drive strategic outcomes.

The Must-Haves
• Background: A strong foundation in statistical modelling and research methods.
• Experience: Demonstrable experience with experimental design, hypothesis testing, and applied AI techniques.
• Skills: Proficiency in programming languages and tools such as Python, R, or similar statistical analysis tools; the ability to effectively clean, structure, and analyze complex datasets, including survey and behavioral data; demonstrated capability to translate complex analytical findings into clear, concise, and actionable business insights; unwavering high discretion and integrity when handling sensitive employee data.
• Bonus: An academic background in Organisational Behaviour, Organisational Psychology, Talent Management, Business Intelligence, or other related fields; exposure to People Analytics methodologies and frameworks; prior experience analyzing employee lifecycle, engagement, or performance data; familiarity with HRIS (Human Resources Information System) or ATS (Applicant Tracking System) systems; previous internship or research experience in analytics, consulting, behavioural science, or HR functions; a keen interest in predictive modelling, Organisational Network Analysis (ONA), and behavioural signal detection.