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Jobs via Dice · 4 hours ago

Data Scientist Intern: 2026 - Research Triangle Park

Durham, NC

Internship

Onsite

Intern

IBM is a leading organization in technology and consulting, seeking a Data Scientist Intern to join their Business Platform Transformation team. The intern will apply strategic thinking and technical skills in AI and data science to implement data-driven solutions, improve decision-making, and drive business growth.

Computer Software

No H1B

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

Qualification

SQLPythonMachine LearningStatistical ModelingAI TechnologiesData AnalysisCloud PlatformsData VisualizationCommunication SkillsProblem-SolvingTeam CollaborationAttention to Detail

Required

High School Diploma/GED

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