
Intern Data Science
2 days ago
**Summary**:
As a data science intern, you will:
- 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.
**About the Role**:
**Responsibilities**:
As a data science intern, you will:
- 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
Division
People & Organization
Business Unit
Universal Hierarchy Node
Location
India
Site
Hyderabad (Office)
Company / Legal Entity
IN10 (FCRS = IN010) Novartis Healthcare Private Limited
Functional Area
Others
Job Type
Full time
Employment Type
Early Career (Fixed Term)
Shift Work
No
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