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New York, NY

Internship

Onsite

$61K/yr - $111K/yr

Intern

IBM is a technology and consulting company offering internships that provide experience on real client projects across analytics, AI adoption, generative AI, and agentic AI-enabled transformation. The Intern Data Scientist will contribute to data science and AI projects involving statistics, machine learning, data preparation, model testing, GenAI, and agentic AI solution components while developing technical, analytical, and consulting skills through mentorship.

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Responsibilities

During your internship, you can build data science and AI skills by contributing to client projects that use statistics, machine learning, data science, GenAI, and agentic AI solution patterns
Mentored Analytical Support: Receive mentorship from data scientists, AI engineers, consultants, and technical mentors while applying analytical rigor, statistical methods, and responsible AI practices to client challenges
Data Science and AI Development: Develop skills in writing efficient, reusable code to prepare data, build features, test models, and contribute to GenAI, RAG, or agentic AI solution components
Effective Communication: Assisting explaining analytical results, model behavior, assumptions, limitations, and recommendations to both technical and non-technical audiences
Tech-Driven Problem Solver: Use tools such as Python, SQL, notebooks, cloud platforms, APIs, data platforms, and AI-assisted coding tools to analyze data and help turn ideas into working analytical or AI assets

Qualification

Required

• Currently pursuing a quantitative degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, AI/ML, Cognitive Science, or a related field
• Strong interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment
• Have initiative and passion to actively seek new knowledge and improve skills while embracing a growth mindset to assimilate diverse viewpoints
• Demonstrate leadership experience and ability to communicate effectively through active listening; while also be willing to adapt and have a readiness to take ownership of tasks and challenges
• Familiarity with programming and analysis tools such as Python, SQL, R, or similar
• Willingness to travel as needed

Preferred

Bachelor's Degree
• Demonstrate familiarity or interest in statistical analysis, machine learning, data mining, GenAI, RAG, or agent-based applications through internships, coursework, personal or academic projects, hackathons, and/or publications
• Experience using machine learning, data science, or AI frameworks such as pandas, NumPy, SciPy, scikit-learn, PyTorch, TensorFlow,LangChain,LangGraph,LlamaIndex, MCP-based tooling, or similar tools is a plus
• Familiarity with AI-assisted coding and developer tools such as GitHub Copilot, Codex, Claude Code, Cursor, or similar tools for coding, testing, debugging, documentation, and code review

Benefits

Contribute to real client projects across diverse industries
Continuous learning, mentorship, and coaching
Build a compelling portfolio and acquire new skills
Mentorship from data scientists, AI engineers, consultants, and technical mentors
Could advance to IBM's full-time Associates program based on results and performance

IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions.

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