IBM Business Platform Transformation is seeking a Data Scientist intern to drive AI and data science initiatives in large-scale enterprise transformations, focusing on implementing data-driven solutions aligned with business goals.
Requirements
- 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.)
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.
Other
- 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.
- Strategic thinking and business acumen.
- Strong problem-solving abilities and eagerness to learn.
- Excellent communication skills, with the ability to explain technical concepts clearly.
