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New York, United States

Internship

Onsite

Intern

IBM is a leading technology and consulting company that leverages data to create tangible business value. As a Senior Data Scientist Intern, you will collaborate with various teams to enhance business performance through analytics and data science initiatives, focusing on translating business problems into analytical frameworks and developing applications using machine learning and large language models.

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Responsibilities

Providing thought leadership and strategic thinking to translate business problems into analytical frameworks.
Designing, researching and developing applications from Large Language models, machine learning algorithms, agentic and orchestration technologies, and more to get insights from structured and unstructured data.
Operating as a subject matter expert on statistical analysis and machine learning for modeling, writing code, testing, and validating.
Interpreting output and performance of models in business terms, and communicating findings to the team and stakeholders.
Collaborating with cross-functional teams to understand their business needs; formulating and completing end-to-end analysis

Qualification

Required

BS or MS in Data Science, Machine Learning, Statistics, or related STEM field.
Proficiency in Python.
Experience and/or coursework with common Python libraries used by data scientists (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.).
Experience and/or coursework in statistics and machine learning.
Experience and/or coursework working with structured and unstructured data.
Experience and/or coursework in deep learning and natural language processing.
Understanding of database technologies, data structures and SQL.
Demonstrated ability to think strategically about business and technical challenges in an enterprise setting.
Strong presentation and communication skills with the ability to explain complex analytical concepts to people from other fields.
Demonstrated ability to share data science and machine learning experiment results with both technical and non-technical people.
Innovative mindset and an ability to take calculated risks.
Demonstrated a strong desire to learn new skills and excitement towards undertaking challenging transformations.

Preferred

Student pursuing PhD or Master’s in Data Science, Generative AI, Machine Learning, Statistics, or related STEM field
Understanding of coding requirements for production applications (e.g., modularity, documentation, quality assurance, testing, logging, etc.)
Familiarity with Generative AI, LLMs, Agentic AI, and recent developments in Artificial Intelligence
Knowledge of big data technologies (e.g., spark, Hadoop, etc.)
Understanding of code versioning
Experience in Agile development
Experience deploying analytical models to solve business problems
Experience in a project management function
Ability to own analytical work from inception to completion, preparing project plans, creating and monitoring performance metrics
Ability to manage key stakeholder expectations and asset delivery