Data Scientist Co-op 2026 – Advanced Analytics – Financial Services
University Park, TX
Full-time
Hybrid
New Grad
IBM is a global consulting firm that emphasizes long-term relationships and collaboration with clients. They are seeking a Data Scientist Co-op for 2026, where the candidate will work on client projects, gain professional experience, and develop skills in data integration, analytical support, and effective communication.
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
Evaluate model results contributing to data-driven insights
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
Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit
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
Benefits
IBM is an IT technology and consulting firm providing computer hardware, software, infrastructure, and hosting services.
