IBM Consulting is looking to solve business and technical problems for its clients across the globe, particularly in the areas of hybrid cloud and AI journey, by hiring interns who can work on client projects and develop their skills in data integration, analytical support, and effective communication.
Requirements
- Familiarity with one or more scripting languages (Python preferred), or a proven computer science foundation
- 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
Responsibilities
- 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.
Other
- Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
- High School Diploma/GED
- Willingness to travel up to 100%
- Must have the ability to obtain and maintain a Federal security clearance while in IBM Federal Consulting
- Strong Interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment
