Programa de Estágio - Ciência de Dados

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 improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. You will be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide 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 experience.

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.
  
  

Preferred Education

None

Required Technical And Professional Expertise

• 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.
  
  

Preferred Technical And Professional Experience

• 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).