IBM internship Data scientist

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

As a Data Scientist specializing in Artificial Intelligence, you will skillfully combine data analysis and business acumen to tackle cognitive computing challenges. You will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Your primary responsibilities will include:

Assist with AI Solution Development: Participate in designing and delivering AI solutions using cutting-edge technologies, focusing on foundation models and large language models. 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.
Explore AI Tools and Technologies: 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.

Required Technical And Professional Expertise

Develop and deliver AI-driven solutions leveraging foundation models and large language models.
Apply advanced analytics and machine learning techniques to structured and unstructured data.
Design and implement end-to-end AI systems, from research and prototyping to production deployment.
Collaborate with cross-functional teams to identify business opportunities for AI and cognitive computing.
Utilize modern AI-assisted tools such as GitHub Copilot and Amazon CodeWhisperer to enhance productivity.
Develop and optimize NLP, image, video, or voice processing models as required.
Work with a variety of data sources and architectures, including relational and NoSQL databases.
Ensure scalability, performance, and reliability of deployed AI solutions across cloud platforms.

IBM internship Data scientist

Key Skills

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