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University Park, TX

Internship

Hybrid

Intern

IBM is a global leader in consulting and technology, and they are seeking a Data Scientist Co-op for 2026 in their Advanced Analytics division focused on Financial Services. This role offers a unique opportunity to work on client projects, develop analytical skills, and gain insights into various industries while being mentored by professionals in the field.

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Responsibilities

Receive mentorship from diverse professionals in science engineering and consulting applying analytical rigor and statistical methods to predict behaviors
Develop skills in writing efficient and reusable programs to cleanse integrate and model data
Assist in conveying analytical results to both technical and non-technical audiences, refining your ability to communicate complex findings
Utilize program languages like Python to build data pipelines, extracting and transforming data from repositories to consumers

Qualification

Required

Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, 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 one or more scripting languages (Python preferred), or a proven computer science foundation

Preferred

Preferred majors: Data Science, AI, ML, Cognitive Science, Statistics or Engineering
Demonstrate familiarity or interest in statistical analysis or data mining through previous internships, personal/academic projects, hackathons, and/or publications
General Familiarity with databases, data-engineering tools (SQL, Spark, Snowflake) and cloud platforms (e.g., IBM Cloud, Azure, AWS)
Experience with NLP/LLM/GenAI is a plus
Experience: familiarity with eval-driven development of AI Agents, ML&AI Ops/Observability
Skills/Tech: Python, Development/Deployment with coding agents (Cursor, Claude Code, Codex, etc)
Ethics/governance awareness, ability to translate business use cases into models
Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas, PyTorch) is a plus