Data & Analytics Data Scientist Co-op – Advanced Analytics – Financial Services University

Overview

A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe.

During your co‑op, you can enhance your knowledge and gain professional experience by working on client projects and building a compelling portfolio.

• Mentored Analytical Support:
  Receive mentorship from diverse professionals applying analytical rigor and statistical methods to predict behaviors.
• Data Integrations:
  Develop skills in writing efficient and reusable programs to cleanse, integrate, and model data and evaluate model results for data‑driven insights.
• Effective Communication:
  Assist in conveying analytical results to both technical and non‑technical audiences, refining your ability to communicate complex findings.
• Tech‑Driven Data Transformer:
  Utilize programming languages such as Python to build data pipelines, extracting and transforming data from repositories to consumers, gaining exposure to cloud platforms, ETL tools, and data integration.

• High School Diploma / GED

• 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.
• Initiative and passion to actively seek new knowledge and improve skills while embracing a growth mindset and assimilating diverse viewpoints.
• Demonstrated leadership experience and ability to communicate effectively through active listening, taking ownership of tasks and challenges.
• Familiarity with one or more scripting languages (Python preferred) or a proven computer science foundation.

• Preferred majors:
  Data Science, AI, ML, Cognitive Science, Statistics or Engineering.
• Demonstrated 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 (IBM Cloud, Azure, AWS).
• Experience with NLP/LLM/GenAI is a plus.
• Experience with evaluation‑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, Sci Py, pandas, PyTorch) is a plus.

Projected minimum salary per year: $73,080.00. Projected maximum salary per year: $.

Supplemental 1 employees may be eligible for up to 8 paid holidays, a minimum of 56 hours paid sick time, and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law.

IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.