Data Scientist Internship 2026

Introduction

In the IBM Chief Analytics Office, you will be part of a dynamic team driving the future of AI and data science in large-scale enterprise transformations. We offer a collaborative environment where your technical expertise will be valued and your professional development will be supported. Join us to work on challenging projects, leverage the latest technologies, and make a tangible impact on a leading organization.

Role Overview

Your role and responsibilities

As a Data Scientist intern in IBM's Chief Analytics Office, you will be in a unique position to combine your strategic thinking with your technical skills in AI, machine learning, and data analytics. You will apply your skills to help implement data-driven solutions that align with business goals. You will steer enterprise projects that improve decision-making, solve complex problems, and drive business growth. This role involves working with team members and stakeholders to translate data insights into actionable recommendations that deliver meaningful business impact.

Key Responsibilities

* AI, Data Science, and Technical Execution:

* 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.

* Strategic Planning

* 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.

* Project Management and Delivering Business Outcomes:

* 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.

* Communication and Collaboration:

* 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.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

* 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.

Technical Skills

* 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 And Analytical Skills

* Strategic thinking and business acumen.

* Strong problem-solving abilities and eagerness to learn.

* Ability to work with datasets and derive insights.

* Attention to detail.

Communications And Soft Skills

* 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 Technical And Professional Experience

Pursuing a Master’s degree in Computer Science, Data Science, Statistics, Economics, or a related field.