State Street Investment Management (SSIM) is seeking to hire a Data Science Intern to bring AI solutions to life for their Investment Management business, supporting technology platforms and services in a global financial organization.
Requirements
- 3+ months with GenAI solution, development experience with known LLMs (OpenAI ChatGPT, Claude, Llama, or DeepSeek), Agentic AI technologies like MCP, prior experience with RAG, Text2SQL, fine tuning, distillation, and responsible AI framework integration.
- 3+ months of hands-on coding experience with foundational AI/ML algorithms and familiar with deep learning neural network like various supervise and unsupervised models.
- 3+ months of modern, object-oriented or functional programming and design experience (Python, Java) and proficient in AI code generation tools like GitHub Co-pilot/Cursor.
- GenAI/LLMs, Data Science and Machine Learning Frameworks (Anthropic, MCP, Agentic AI, RAG, Text2SQL, Vectorized DB, Agentic Flow management frameworks like LangGraph, AutoGen, CrewAI, LangChain, LlmaIndex)
- Structured and unstructured data management tools (Snowflake, Databricks, PGVector, PostgreSQL, Hadoop, etc.)
Responsibilities
- Adopt various modern AI tools to design and develop AI solution and disrupt traditional AI development approach and improve productivity.
- Become familiar in GenAI/LLM model evaluation, benchmarking, solution design, development, and validation.
- Integrate, customize, and train known LLMs and agentic frameworks to solve financial problem, perform validation, and fix bugs.
Other
- Bachelor’s degree required (preferably in computer science, financial mathematics, and financial engineering).
- Result driven, detail oriented, candid attitude.
- Access to flexible Work Programs to help you match your needs.
- Paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.
- Employees are eligible to participate in State Street’s comprehensive benefits program
