Intern Data Science

Job Description Summary As a data science intern, you will: • Apply your skills to solve real-world challenges related to employee engagement, recruitment optimization, predictive workforce planning, and generative AI use cases.

• Design models, dashboards, and frameworks that influence enterprise-wide decisions. • Collaborate on high-impact projects with direct visibility to stakeholders and leaders.

• Gain hands-on experience with cutting-edge data science methodologies and tools, including machine learning, predictive analytics, large language models (LLMs), and generative AI.

• Build tangible solutions that shape the future of the workforce—strategy, processes, and culture. • Support supervisor in research and development of new algorithms, methods, statistical models and business models and providing insight into structured and unstructured data.

Job Description Responsibilities: As a data science intern, you will: • Apply your skills to solve real-world challenges related to employee engagement, recruitment optimization, predictive workforce planning, and generative AI use cases.

• Design models, dashboards, and frameworks that influence enterprise-wide decisions. • Collaborate on high-impact projects with direct visibility to stakeholders and leaders.

• Gain hands-on experience with cutting-edge data science methodologies and tools, including machine learning, predictive analytics, large language models (LLMs), and generative AI.

• Build tangible solutions that shape the future of the workforce—strategy, processes, and culture. • Support supervisor in research and development of new algorithms, methods, statistical models and business models and providing insight into structured and unstructured data.

Your impact will include: • Leverage statistical and machine learning techniques such as regression, classification, clustering, and design of experiments.

• Develop predictive models to address key HR areas like talent acquisition, employee experience, location strategy, and workforce planning. • Build self-service dashboards and visualizations that empower stakeholders with real-time insights.

• Conduct data mining, exploratory data analysis (EDA), and feature engineering to uncover actionable insights. • Use generative AI to create personalized employee experiences, optimize HR workflows, and support decision-making.

• Explore and prototype LLM-based use cases to revolutionize workforce analytics. What you’ll bring to the role: • Relevant experience in Data Science • Post-graduate or Graduate from a top Tier University in a quantitative discipline • Technical Skills: Statistical Modeling/Machine Learning.

Must have: Statistical and Machine Learning techniques like Regression (esp., GLM, non-linear, etc.), Classification (Trees, Random Forest, Boosting, SVM, CART, etc.