We are seeking a motivated People Analytics Intern to join our team. In this role, you ll work with people data to solve organizational challenges by building solutions using AI/ML models, including large language models (LLMs). You will primarily focus on automating text analysis, building predictive models and identifying patterns to help improve business outcomes.
Internship Duration- 3 months.

What You Can Expect

Collaborate with the HR Leaders and People Analytics team to translate business challenges into technical solutions.
Develop and deploy AI/ML solutions to analyze and interpret workforce data, providing predictive and prescriptive insights.
Fine-tune pre-trained LLMs to align with organizational context and specific business objectives.
Build interactive dashboards for non-technical stakeholders to explore text-based insights.
Stay up to date on the latest developments in LLM architectures and NLP, document findings and present results to the team.

What Were Looking For

Currently pursuing a degree in Data Science, Artificial Intelligence, Computer Science or a related field.
Proficiency in Python, R, or similar languages for data analysis and model development.
Familiarity with NLP tools and libraries (e. g. , NLTK, SpaCy).
Experience with large language models (LLMs) such as GPT, LLAMA, or similar transformer-based architectures.
Understanding of natural language processing tasks, such as text classification, sentiment analysis, and named entity recognition.
Strong analytical, problem-solving and communication skills, with the ability to present complex technical information clearly
Ability to work independently and collaboratively as part of a team.
Preferred Qualifications:
Experience working with HR data and an understanding of people metrics.
Knowledge of cloud platforms (example: AWS, Azure) for model deployment.
Familiarity with visualization tools (e. g. , Power BI, Tableau).
Prior research experience or internships in AI/ML.

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People Analytics Intern