IBM Finance organization is responsible for driving enterprise performance and transformation. We are the financial stewards of IBM, delivering IBM’s financial strategy, developing new business models, and mitigating enterprise risk. The Data Scientist Intern will help transform data into tangible business value by building state-of-the-art agentic AI, communicating outcomes and collaborating on product development.
Requirements
- 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.
- Familiarity with Generative AI, LLMs, Agentic AI, and recent developments in Artificial Intelligence
Responsibilities
- 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
- Enhance business performance through analytics and data science focused initiatives.
- Transform data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development.
Other
- This position is an internal Staff Data Scientist Intern role with IBM Corporate Development (Mergers & Acquisitions).
- Office locations for the position are NYC, NY.
- Start and end dates for this internship are during summer 2026 (3 months)
- Providing thought leadership and strategic thinking to translate business problems into analytical frameworks.
- Demonstrated ability to think strategically about business and technical challenges in an enterprise setting.
