Data Scientist Intern: 2026 - Research Triangle Park

Summary: IBM is a leading organization in AI and data science, and they are seeking a Data Scientist Intern to join their Business Platform Transformation team. The intern will leverage their strategic thinking and technical skills to implement data-driven solutions that align with business goals and improve decision-making. Responsibilities: - 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 LLMs, 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 - Manage and contribute to various stages of AI and data science projects, from data exploration to model development to solution implementation and deployment - Use agile strategies to manage and execute work - Monitor project timelines and help resolve technical challenges - Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs - Communicate regularly and present findings to collaborators and stakeholders, including technical and non-technical audiences - Create compelling data visualizations and dashboards - Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems Required Qualifications: - 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 - Hands on Experience using 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.) - Experience using AI-powered development tools to accelerate software development and data processing - Strategic thinking and business acumen - Strong problem-solving abilities and eagerness to learn - Ability to work with datasets and derive insights - Attention to detail - Excellent communication skills, with the ability to explain technical concepts clearly - Independent and team-oriented - Understands AI Ethics principles - Works in an open and inclusive manner - Adaptable to fast-paced environments - Enthusiasm for learning and applying new technologies - Growth mindset - Ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Preferred Qualifications: - Bachelor's Degree Required Skills: SQL, Python, Machine Learning Important Skills: Statistical Modeling, AI Technologies, Data Analysis, Cloud Platforms Nice-to-Have Skills: Data Visualization, Communication Skills, Problem Solving, Team Collaboration, Attention to Detail Internship Start Date: Start in 2026