Intern Data Scientist 2027 – AI & Data Analytics

IBM; Dallas (TX); On-site; USD 28,000 - 39,000; Part time

Job summary

IBM is seeking an intern to build data science and AI skills by contributing to client projects across analytics, GenAI, and agentic AI-enabled transformation. You will work with IBM teams on real client challenges, gaining hands-on experience in Python, SQL, and modern AI tooling while developing a portfolio of analytical assets.

The internship emphasizes continuous learning, coaching, and growth with a potential pathway into IBM's Associate Program based on performance.

Qualifications

• Pursuing a quantitative degree or related field.
• Strong written and verbal communication for collaboration.
• Willingness to learn and adapt in fast-paced projects.
• Demonstrated initiative and ownership of tasks.

Responsibilities

• Contribute to client projects using statistics, ML, data science and GenAI.
• Develop data processing and AI components under guidance from IBM teams.
• Explain analytical results and model behavior to technical and non-technical audiences.
• Collaborate with data scientists, AI engineers, and consultants on project tasks.

Skills

Python

SQL

R

Analytical thinking

Communication

Teamwork

Education

Bachelor's Degree

Tools

LangChain

LangGraph

LlamaIndex

PyTorch

TensorFlow

GitHub Copilot

Job description

Introduction

Launch yourcareer like an IBMer

Every IBMer has a story. For many, it started with an internship.

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like an IBMer. From day one, you'll contribute to real client projects across diverse industries, including analytics, AI adoption, generative AI, and agentic AI-enabled transformation, working alongside experienced IBMers who are invested in your success. You'll be challenged, supported, and inspired, often all in the same day. You'll develop technical expertise and consulting skills in a culture built on continuous learning, mentorship, and coaching. High-performing interns have a clear pathway into IBM's Associate Program, launching careers at one of the world's most innovative technology and consulting companies.

To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You'll receive a status update email for each application, so be sure to check your IBM Careers account regularly — it's the best way to get a centralized view of which roles you have active applications against.

Your Role And 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.

Work Experiences You Could Be Exposed To

• 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.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

• 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 Technical And Professional Experience

• 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, and documentation.