Data Scientist Intern 2026 (Baton Rouge, LA)

IntroductionA 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 form 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 centers on long-term career growth and development opportunities — in an environment that embraces your unique skills and experiences.Your Role And ResponsibilitiesDuring your internship, you will 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 that will shape 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 your results and performance.Work Experiences You Could Be Exposed ToMentored 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 and contribute 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 clearly.Tech-Driven Data Transformation: Utilize programming 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 technologies, expanding your technical toolkit.Required Technical And Professional ExpertiseCurrently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.Strong interpersonal skills that enhance collaboration and relationship-building, while effectively managing dynamic workloads in an agile environment.Initiative and passion to actively seek new knowledge and improve skills, while embracing a growth mindset and being open to diverse viewpointsDemonstrated leadership experience and the ability to communicate effectively through active listening; also willing to adapt and ready to take ownership of tasks and challengesFamiliarity with one or more scripting languages (Python preferred), or a solid foundation in computer science.Minimum Required EducationHigh school diploma and actively pursuing completion of a higher education degree in a relevant field.SponsorshipIBM will not provide VISA sponsorship for this position. Eligible candidates must not require sponsorship now or in the future to be considered for this position.Required work location:These positions, anticipated to start in 2026, will have openings based in the Baton Rouge, Louisiana Client Innovation Center.Must be local to your assigned Client Innovation Center location or willing to relocate prior to your start date at your own expense.Average local IBM site work requirement of at least 3 days per week.Role expectation requires minimal business travel however candidate should be willing to travel up to 100% if needed, based on work assignments.Preferred Technical And Professional ExperienceDemonstrate 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.