Job Specifications
Introduction
A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to advance the hybrid cloud and AI journey for some of the world’s most innovative and valuable companies. Your ability to accelerate impact and drive meaningful change for your clients is enabled by our strategic partner ecosystem and robust technology platforms across the IBM portfolio, including Software and Red Hat.
Curiosity and a constant quest for knowledge are the foundation of success in IBM Consulting. You’ll be encouraged to challenge the status quo, explore ideas beyond your role, and develop creative solutions that deliver groundbreaking impact for a broad network of clients. Our culture of evolution and empathy is centered on long-term career growth and development opportunities in an environment that embraces your unique skills and experiences.
Your Role And Responsibilities
During your internship, you can enhance your knowledge and gain professional experience by working on client projects. This role provides an exceptional opportunity to build a compelling portfolio, acquire new skills, gain insights into diverse industries, and embrace novel challenges for your future career.
At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship. As an intern, you'll experience this culture and have the opportunity to advance to our associate program based on results and performance.
Work experiences you could be exposed to:
Mentored Analytical Support: Receive mentorship from diverse professionals in science engineering and consulting 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. Evaluate model results contributing to 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 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.
Required Technical And Professional Expertise
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.
Minimum Required Education
High school diploma and active pursuit of a higher education degree in a relevant field.
Sponsorship
IBM will not provide visa sponsorship for this position. Eligible candidates must not require sponsorship now or in the future to be considered for this role.
Required work location
These positions, anticipated to start in 2026, will be based at the Buffalo, New York Client Innovation Center.
Candidates must be local to their assigned Client Innovation Center location or willing to relocate prior to their start date at their own expense.
Average on-site work requirement at the local IBM office is at least 3 days per week.
While the role is expected to require minimal business travel, candidates should be willing to travel up to 100% if needed, based on work assignments.
Preferred Technical And Professional Experience
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) and cloud platforms (e.g., IBM Cloud, Azure, AWS). Experience with NLP/LLM/GenAI is a plus.
Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas, PyTorch) is a plus.
About the Company
At IBM, we do more than work. We create. We create as technologists, developers, and engineers. We create with our partners. We create with our competitors. If you're searching for ways to make the world work better through technology and infrastructure, software and consulting, then we want to work with you.
We're here to help every creator turn their "what if" into what is. Let's create something that will change everything.
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