Data Scientist Intern 2027

**Introduction** We are seeking enthusiastic and driven interns to join the AI, Automation, and Data Platforms (AADP) team at IBM CIO. As an intern, you will play a critical role in developing cutting-edge solutions using Watsonx LLMs (Large Language Models), Watsonx Orchestrate, Milvus, and other state-of-the-art technologies. You will work closely with cross-functional teams to integrate these solutions into business processes, orchestrate various components, and build scalable solutions leveraging automation, AI, and data technologies. **Role** This role requires a strong understanding of business needs and the ability to translate them into technical stories to guide development: * Hands-on experience working with IBM's cutting-edge technologies, including GenAI (Watsonx.ai platform), LLM technologies, vector databases (Watsonx.data), and automation tools (Watson Orchestrate). * 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. **Role Overview** **Your role and responsibilities** As a Data Scientist intern in the AI, Automation and Data Platform organization, 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.