Senior SQL Machine Learning Data Scientist

At IBM Infrastructure & Technology, we design and operate the systems that keep the world running. From high-resiliency mainframes and hybrid cloud platforms to networking, automation, and site reliability. Our teams ensure the performance, security, and scalability that clients and industries depend on every day. Working in Infrastructure & Technology means tackling complex challenges with curiosity and collaboration. You’ll work with diverse technologies and colleagues worldwide to deliver resilient, future‑ready solutions that power innovation. With continuous learning, career growth, and a supportive culture, IBM provides the opportunities to build expertise and shape the infrastructure that drives progress.
As a Data Scientist specializing in Artificial Intelligence, you will skillfully combine data analysis and business acumen to tackle cognitive computing challenges. You will learn to apply advanced analytics techniques for structured data and explore Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content.
Engage with tools like Github Copilot and Amazon Code Whisperer to develop comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data.
Support AI Project Lifecycle: Contribute to the full AI project lifecycle, from research and prototyping to deployment in production environments, under the guidance of senior team members.
Learn AI Frameworks and Libraries: Familiarize yourself with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, and learn to use libraries like SciKit Learn, Pandas, and Matplotlib.
Interest in exploring tools like Github Copilot and Amazon Code Whisperer to develop comprehensive cognitive solutions.
Basic Understanding of AI Frameworks: Exposure to AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, and curiosity about libraries like SciKit Learn, Pandas, and Matplotlib.
Awareness of AI Project Lifecycle: Basic understanding of the full AI project lifecycle, from research and prototyping to deployment in production environments.
Basic understanding of programming languages, preferably Python, and interest in developing strong programming skills.
Familiarity with Cloud Platforms: Exposure to cloud platforms such as Kubernetes, AWS, Azure, or GCP, and related services is beneficial.
Knowledge of Relational and NoSQL Databases: Basic understanding of working with a variety of relational and NoSQL databases, including SQL, Postgres, DB2, and MongoDB.
Understanding of Modern UI Frameworks: Interest in modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery is advantageous.
IBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Join us to help build our leading-edge technology portfoliodesigned for cognitive business and optimized for cloud computing.

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At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
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Hybrid
Data & Analytics
Intern (Fixed Term)
Contract type
Internship
Internship
Shift
General (daytime)