Job Description

About Chainlink
Chainlink is the industry-standard oracle platform bringing the capital markets onchain and powering the majority of decentralized finance (DeFi). The Chainlink stack provides the essential data, interoperability, compliance, and privacy standards needed to power advanced blockchain use cases for institutional tokenized assets, lending, payments, stablecoins, and more. Since inventing decentralized oracle networks, Chainlink has enabled tens of trillions in transaction value and now secures the vast majority of DeFi.

Many of the world’s largest financial services institutions have also adopted Chainlink’s standards and infrastructure, including Swift, Euroclear, Mastercard, Fidelity International, UBS, S&P Dow Jones Indices, FTSE Russell, WisdomTree, ANZ, and top protocols such as Aave, Lido, GMX and many others. Chainlink leverages a novel fee model where offchain and onchain revenue from enterprise adoption is converted to LINK tokens and stored in a strategic Chainlink Reserve. Learn more at chain.link.

About The Role

The People Intelligence Intern will join the Centre of People Intelligence (COPI), a cross-functional capability focused on delivering decision-grade people insights to build and sustain a high-performing organisation at Chainlink Labs. COPI transforms employee communication metadata, behavioural signals, sentiment data, and people systems data into predictive insights that enable earlier and more effective talent decisions.

This internship offers a unique opportunity to work at the intersection of behavioural science, advanced analytics, and AI, contributing directly to predictive modelling efforts related to burnout, collaboration, performance, and attrition. The intern will support the People Insights & Analytics workstream and help translate complex behavioural data into actionable intelligence that drives strategic workforce decisions.

Your Impact

• Leverage statistical analysis and predictive modelling to generate insights on key talent themes such as work-life integration, retention, organisational health, and collaboration.
• Support the development and refinement of data-driven models that help identify emerging people trends and inform proactive talent decisions.
• Analyze behavioral, engagement, and workforce data to surface patterns and opportunities that improve team effectiveness and overall organisational performance.
• Analyse employee communication metadata, sentiment signals, and survey data to surface early-warning indicators.
• Translate business questions into testable hypotheses and apply rigorous research methods to validate findings.
• Partner with People Team stakeholders to present clear, defensible, and actionable insights.
• Maintain high standards of documentation, methodological rigor, and data integrity when handling sensitive information.

Requirements

• Strong foundation in statistical modelling and research methods.
• Experience with experimental design, hypothesis testing, and applied AI techniques.
• Proficiency in Python, R, or similar statistical analysis tools.
• Ability to clean, structure, and analyse complex datasets, including survey and behavioural data.
• Demonstrated capability to translate analytical findings into clear business insights.
• High discretion and integrity when handling sensitive employee data.

Preferred Requirements

• Academic background in Organisational Behaviour, Organisational Psychology, Talent Management, Business Intelligence, or related fields
• Exposure to People Analytics methodologies and frameworks.
• Experience analysing employee lifecycle, engagement, or performance data.
• Familiarity with HRIS or ATS systems.
• Prior internship or research experience in analytics, consulting, behavioural science, or HR functions.
• Interest in predictive modelling, Organisational Network Analysis (ONA), and behavioural signal detection.

Please note that this is a full-time internship that requires 5 working days per week.

All roles with Chainlink Labs are global and remote-based. Unless otherwise stated, we ask that you try to overlap some working hours with Eastern Standard Time (EST).

We carefully review all applications and aim to provide a response to every candidate within two weeks after the job posting closes. The closing date is listed on the job advert, so we encourage you to take the time to thoughtfully prepare your application. We want to fully consider your experience and skills, and you will hear from us regarding the status of your application shortly after the closing date.

Commitment to Equal Opportunity

Chainlink Labs is an equal opportunity employer. All qualified applicants will receive equal consideration for employment in compliance with applicable laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us via this form.

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