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Dallas, TX

Internship

Onsite

Intern

IBM is a technology and consulting company seeking an Intern Data Scientist to support client projects across data science, artificial intelligence, and analytics. The intern will develop analytical and AI solution components, prepare data, build and test models, communicate results, and use tools such as Python, SQL, cloud platforms, APIs, and AI-assisted coding tools under 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
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
At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship
As an intern, you'll strengthen technical, analytical, and consulting skills while learning responsible AI practices, and you could advance to our full-time Associates program based on results and performance
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

High School Diploma/GED
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
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship

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

Up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan for eligible Supplemental 1 employees
Paid family medical leave for eligible employees where required by applicable law
Disability benefits for eligible employees where required by applicable law
Continuous learning, mentorship, and coaching
Mentorship from data scientists, AI engineers, consultants, and technical mentors
Potential advancement to IBM's full-time Associates program based on results and performance
Opportunity to build a compelling portfolio, acquire new skills, and gain insight into diverse industries

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

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