Data Scientist Intern 2027

IBM is seeking enthusiastic interns to join its AI, Automation, and Data Platforms team. The Data Scientist intern will develop and deploy AI and machine learning solutions, analyze complex datasets, translate business requirements into technical strategies, and collaborate with stakeholders to deliver data-driven business outcomes.

What you'll do:

• Support the design, implementation and optimization of AI-driven strategies per business stakeholder requirements
• Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights
• Apply GenAI, traditional AI, ML, NLP, computer vision, or predictive analytics where applicable
• Collect, clean, and preprocess structured and unstructured datasets
• Help refine data-driven methodologies for transformation projects
• Learn and utilize cloud platforms to ensure the scalability of AI solutions
• Leverage reusable assets and apply IBM standards for data science and development
• Apply ML Ops and AI ethics
• Translate business requirements into technical strategies
• Ensure alignment to stakeholders’ strategic direction and tactical needs
• Apply business acumen to analyze business problems and develop solutions
• Collaborate with stakeholders and team to prioritize work

What they're looking for:

• Pursuing a Bachelor's degree in Computer Science, Data Science, Statistics, Economics, or a related field
• Experience with AI/ML technologies and statistical modeling through coursework, projects, or past internships or full time positions
• Proficiency in SQL and Python for performing data analysis and developing machine learning models
• Experience and/or coursework in statistics, machine learning, generative and traditional AI
• Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch
• Familiarity with cloud-based platforms and data processing frameworks
• Understanding of large language models (LLMs)
• Familiarity with object-oriented programming
• Experience and/or coursework with common Python libraries used by data scientists (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.)
• Strategic thinking and business acumen
• Strong problem-solving abilities and eagerness to learn
• Ability to work with datasets and derive insights

Benefits:

• Hands-on experience working with IBM's cutting-edge technologies, including GenAI, LLM technologies, vector databases, and automation tools.
• Opportunities to enhance your programming skills, critical thinking, and problem-solving abilities.
• Exposure to real-world challenges in AI orchestration, automation, and business-driven development.
• Experience working in a dynamic, innovation-focused environment alongside leading experts in AI, automation, and data platforms.
• Networking opportunities within IBM's global business and technology ecosystem.