In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
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.
* Currently pursuing a degree in Computer Engineering, Computer Science, Statistics, Mathematics or related areas;
* Graduation starting in December 2026;
* Knowledge of Statistics: descriptive statistics, probabilistic distributions, hypothesis testing and Machine Learning;
* Ability to communicate effectively;
* Intermediate level of English.
* Programming: knowledge of SQL and Python programming languages (libraries such as Pandas, Scikit-Learn, Stats Models, PySpark, Keras, PyTorch, TensorFlow and H2O);
* Data manipulation: interaction with databases and data manipulation using SQL;
* Data visualization (PowerBI, Tableu);
* Versioning: Familiarity with code versioning (Git/Bitbucket);
* Azure (or similar platforms: AWS, Google Cloud, IBM Cloud).
