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 a consulting intern to work on client projects and contribute to the company's strategic partner ecosystem and technology platforms.
Requirements
- Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
- 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, Snowflake) 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
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- Mentored Analytical Support: Receive mentorship from diverse professionals in science engineering and consulting applying analytical rigor and statistical methods to predict behaviors.
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- Data Integrations: Develop skills in writing efficient and reusable programs to cleanse integrate and model data. Evaluate model results contributing to data-driven insights.
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- Effective Communication: Assist in conveying analytical results to both technical and non-technical audiences, refining your ability to communicate complex findings.
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- 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
- High School Diploma/GED
- Preferred education: Bachelor's Degree
- Strong Interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment
- Willingness to travel as needed
- 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
