AI Data Science Intern, MS - Summer 2027
About The Position
The AI Data Science Intern will join Marvell’s Data Office, part of the CIO organization, which builds data and analytics capabilities across supply chain, finance, engineering, sales, and operations. The team develops data pipelines using platforms such as Databricks and Snowflake and creates trusted datasets, dashboards, machine learning models, and AI agents. The intern will contribute to real projects that are put into production and used across the company. This is a hybrid internship with a technical mentor and regular team reviews and feedback. The intern will build and maintain ETL/ELT data pipelines, develop and deploy machine learning models and AI applications, analyze datasets, design Power BI dashboards, document work, and present findings and recommendations. The role is intended for a student pursuing a relevant master’s degree, with an expected graduation date between Fall 2027 and Summer 2028.
Requirements
- Currently pursuing a master’s degree in Data Science, Computer Science, Statistics, Data Engineering, or a related field, with an expected graduation date between Fall 2027 and Summer 2028.
- Proficiency in Python for data processing, analysis, and modeling, including tools such as pandas, NumPy, and scikit-learn.
- Strong SQL skills for querying, transforming, and modeling large datasets.
- Understanding of data engineering fundamentals, including ETL/ELT design, data warehousing, data modeling, and pipeline orchestration concepts.
- Solid foundation in statistics, machine learning, and exploratory data analysis, with familiarity with modern AI models such as LLMs.
- Ability to clearly communicate technical findings to technical and non-technical audiences.
Nice To Haves
- Hands-on experience with data platforms and tools such as Databricks, Snowflake, Spark/PySpark, Delta Lake, Airflow, or dbt.
- Experience building dashboards and reports in Power BI, Tableau, or similar BI tools.
- Hands-on experience building AI applications with LLMs and agentic frameworks such as LangChain, LangGraph, or similar, including RAG, prompt engineering, and tool integrations such as MCP.
- Prior project, internship, or research experience in data engineering or data science.
- Familiarity with cloud platforms such as AWS or Azure and Git/CI/CD.
Responsibilities
- Build and maintain scalable ETL/ELT data pipelines in Databricks and Snowflake to ingest, clean, and transform enterprise data, including automated data quality checks.
- Develop, evaluate, and deploy machine learning models and AI applications, including LLM-based and agentic workflows, to address business problems.
- Analyze large, multi-source datasets to identify trends, anomalies, and opportunities for improvement, and define metrics to measure them.
- Design interactive dashboards and visualizations in Power BI to communicate insights to business stakeholders.
- Document pipelines and models.
- Present findings and recommendations to the mentor, Data Office team, and business partners at the end of the internship.
Benefits
- Medical, dental, and vision coverage.
- Perks and discounts.
- Mental health resources.
- Paid holidays.
- Additional compensation may be available for intern PhD candidates.
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What This Job Offers
Career Level
Intern
