Data Scientist Intern

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Introduction

IBM Technology Lifecycle Services (TLS) helps clients optimize the value of their IT investments through end-to-end lifecycle support, from deployment and maintenance to asset recovery and transformation. We deliver data-driven insights and operational excellence to support mission-critical infrastructure across industries.

In this role, you will be joining our Business and Performance Management team. Where you will part of project teams that lead analytical initiatives that drive operational efficiency, financial performance, and client satisfaction.

Your Role And Responsibilities

We are looking for a motivated Junior Data Scientist to join our analytics team. In this role, you will assist in collecting, cleaning, analyzing, and visualizing data to support business decisions. You'll work with senior data scientists and analysts to develop predictive models, generate insights, and help optimize company performance. A strong foundation in statistics, Python/R, and SQL is expected, along with a curiosity to learn and grow in a data-driven environment.

You will be part of a team who is responsible for:

• Data Integration: Design, build, and maintain data integration pipelines to combine data from disparate sources, ensuring data quality, completeness, and accessibility.
• Performance Optimization: Monitor and optimize data systems performance, scalability, and availability to ensure timely and accurate data access and processing.
  
  

Required Technical And Professional Expertise

• Analytical thinking
• Business data analysis
• Query and database access tools OR data structures
• Effective communications
• Collaborating / working as a team
• Python (Pandas, Scikit-learn, Model Context Protocol)
  
  

Preferred Technical And Professional Experience

Nice skills to have:

• SQL
• Cognos
  
  

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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