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IBM is a leading technology company that innovates and transforms industries and societies. We're committed to making the world a better place through the application of technology and expertise.
We're seeking highly motivated and talented Data Scientists to join our team as interns. As a Data Scientist Intern at IBM, you'll work on real-world projects that drive business outcomes and contribute to the development of AI, machine learning, and data analytics solutions. You'll have the opportunity to work with a diverse team of experts and develop skills in data science, analysis, and interpretation.
Your Role And Responsibilities
Data Science Projects
- Collaborate with cross-functional teams to design, develop, and deploy data-driven solutions
- Work on data analysis, machine learning, and AI projects to drive business outcomes
- Develop and deploy models using various machine learning algorithms and techniques
- Interpret results, provide insights, and communicate findings to stakeholders
- Collect, process, and analyze large datasets
- Develop data visualizations to communicate insights and findings
- Use statistical and data analysis techniques to identify trends and patterns
- Work closely with data engineers, software developers, and product managers to integrate data science solutions
- Communicate complex technical concepts to non-technical stakeholders
- Collaborate with team members to share knowledge, best practices, and ideas.
- Opportunity to work on real-world projects and contribute to the development of AI, machine learning, and data analytics solutions
- Collaborative and dynamic work environment with a diverse team of experts
- Opportunity to develop skills in data science, analysis, and interpretation
- Professional development opportunities and mentorship.
Education
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
- Strong programming skills in Python, R, or SQL
- Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
- Familiarity with data analysis and visualization tools such as Tableau, Power BI, or D3.js
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills
- Professional level English, additional languages such as French or German are a key differentiator
- Previous experience in data science, machine learning, or a related field is a plus
- Previous exposure to NLP, GenAI, Agentic AI projects/solutions is a plus
- Experience with cloud-based platforms such as Microsoft Azure, AWS, IBM Cloud or GCP is a plus.