Intern Data Science

Descripción del puesto:

Job Description SummaryAs 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.) Clustering, Design of Experiments, Statistical Inference

Skills Desired