Heading

Dallas, TX

Internship

Onsite

$61K/yr - $111K/yr

Intern

IBM is a technology and consulting company offering interns opportunities to contribute to real client projects across analytics, artificial intelligence, generative AI, and agentic AI transformation. The Intern Data Scientist will develop data science and AI skills by applying statistics, machine learning, programming, and analytical methods to build client-ready solution components under mentorship.

Apply Now

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. This role provides an opportunity to build a compelling portfolio, acquire new skills, gain insight into diverse industries, and contribute to client-ready analytical and AI solution components with guidance from IBM teams
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, including analytics, AI adoption, generative AI, and agentic AI-enabled transformation.
Continuous learning, mentorship, and coaching from experienced IBMers, data scientists, AI engineers, consultants, and technical mentors.
Build a compelling portfolio and acquire new technical, analytical, and consulting skills.
Potential pathway into IBM's Associate Program or full-time Associates program based on results and performance.
Learn responsible AI practices while developing technical and consulting skills.

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

Glassdoor