Intern Data Scientist 2027 – AI & Data Analytics

Hakkōda, an IBM Company, is a technology and consulting organization providing analytics, artificial intelligence, and digital transformation solutions across diverse industries. The intern will contribute to client projects involving data science, machine learning, generative AI, and agentic AI while developing technical, analytical, and consulting skills under mentorship.

What you'll do:

• Contributing to client projects that use statistics, machine learning, data science, GenAI, and agentic AI solution patterns
• Receive mentorship from data scientists, AI engineers, consultants, and technical mentors while applying analytical rigor, statistical methods, and responsible AI practices to client challenges
• Develop skills in writing efficient, reusable code to prepare data, build features, test models, and contribute to GenAI, RAG, or agentic AI solution components
• Assisting explaining analytical results, model behavior, assumptions, limitations, and recommendations to both technical and non-technical audiences
• Use tools such as Python, SQL, notebooks, cloud platforms, APIs, data platforms, and AI-assisted coding tools to analyze data and help turn ideas into working analytical or AI assets

What they're looking for:

• Currently pursuing a quantitative degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, AI/ML, Cognitive Science, or a related field
• Strong interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment
• Have initiative and passion to actively seek new knowledge and improve skills while embracing a growth mindset to assimilate diverse viewpoints
• Demonstrate leadership experience and ability to communicate effectively through active listening; while also be willing to adapt and have a readiness to take ownership of tasks and challenges
• Familiarity with programming and analysis tools such as Python, SQL, R, or similar
• Willingness to travel as needed
• Demonstrate familiarity or interest in statistical analysis, machine learning, data mining, GenAI, RAG, or agent-based applications through internships, coursework, personal or academic projects, hackathons, and/or publications
• Familiarity with AI-assisted coding and developer tools such as GitHub Copilot, Codex, Claude Code, Cursor, or similar tools for coding, testing, debugging, documentation, and code review
• Experience using machine learning, data science, or AI frameworks such as pandas, NumPy, SciPy, scikit-learn, PyTorch, TensorFlow,LangChain,LangGraph,LlamaIndex, MCP-based tooling, or similar tools is a plus

Benefits:

• Continuous learning, skill development, and personal growth within a culture of coaching and mentorship
• Mentorship from data scientists, AI engineers, consultants, and technical mentors
• Opportunity to build a compelling portfolio and acquire new skills
• Opportunity to advance to IBM's full-time Associates program based on results and performance