Data Science Intern
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Job Description
About IBM
IBM, a global technology and consulting giant, is known for its relentless pursuit of innovation since 1911. With a vast portfolio spanning software, hardware, and services, IBM is a leader in the hybrid cloud and AI space, serving a wide range of clients, including many Fortune 50 companies. They are committed to responsible technological advancement, pushing the boundaries in areas like artificial intelligence, quantum computing, and blockchain. IBM’s vision is to use technology to improve business, society, and the human condition.
Job Description: IBM Consulting Internship
This internship offers a unique opportunity to gain real-world experience and contribute to meaningful projects within IBM Consulting. You will work alongside experienced professionals across various industries, playing a key role in enhancing clients’ hybrid cloud and AI journeys. This role is a stepping stone towards a potential associate position within the company.
Responsibilities:
• Contribute to client projects: This includes hands-on work, gaining practical knowledge and developing a strong portfolio.
• Learn from mentors: Receive guidance and support from diverse professionals in science, engineering, and consulting.
• Develop technical skills: Hone your abilities in data integration, analysis, modeling, and communication.
• Expand your tech toolkit: Utilize programming languages like Python, explore cloud platforms (IBM Cloud, Azure, AWS), and gain experience with data engineering tools (SQL, Spark).
Key Requirements:
• Academic Background: Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Technical Skills: Familiarity with scripting languages (Python preferred) or a strong computer science foundation.
• Communication and Teamwork: Strong interpersonal skills for collaboration, adaptability, and effective communication.
• Growth Mindset: Initiative, passion for learning, and the willingness to embrace new challenges.
• Leadership Experience: Demonstrated ability to communicate effectively, take ownership, and lead in team settings.
Preferred Qualifications:
• Data Analysis/Mining: Prior experience in statistical analysis or data mining through internships, personal projects, hackathons, or publications.
• Data Engineering: General familiarity with databases, data engineering tools (SQL, Spark), and cloud platforms.
• AI/ML Experience: Experience with NLP, LLM, GenAI, or machine-learning/data science libraries in Python (scikit-learn, SciPy, pandas, PyTorch) is a plus.
This internship provides a chance to build a strong foundation for your future career in IBM Consulting, fostering your skills and allowing you to contribute to groundbreaking projects.
