Data Scientist Intern

About the role

Introduction

We are seeking a motivated and talented intern with a strong foundation in software development and data analytics to join our team. This position offers hands-on experience in software engineering, data science, and systems quality assurance within a collaborative and agile environment.

Your Role And Responsibilities

As a Systems Assurance Data Scientist, you’ll contribute to assuring the availability and reliability of IBM’s industry-leading Server technologies. Responsibilities such as but not limited to:

Data Analytics For

IBM Server Systems client impacting field event analysis (repairs, outages).

System Telemetry data (diagnostics data)

Data visualization for stakeholders (Development, Test, Manufacturing, Client Support… teams) for monitoring, early warning, corrective actions…

Quality Metrics calculation and validation: MTBF, subsystem/part PPM rates

Provide analytics for surgical field corrective actions.

Document and drive to closure issues impacting Server Systems quality

Provide all applicable data analytics to prioritize higher impact (at client) and pervasive events

Track the application of fixes in the Field

Manage Server Systems Field install base Inventory

Provide inventory data analytics (Features, Configurations, usage where available…) to Development, Portfolio Management

Manage Parts data for Incidents and Part ppm tracking.

Manage Quality Targets for all current Servers, subsystems, and parts.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

Skills we are Looking For

Experience or coursework in software development, design, and/or testing

Understanding of computer architecture and programming fundamentals

Strong interpersonal and communication skills

Ability to work effectively in a dynamic, agile team environment

Self-motivated with a growth mindset and eagerness to learn

Leadership potential and ability to take ownership of tasks

Experience with at least one programming language (e.g., Python, Java, SQL), demonstrated proficiency in Python; familiarity with JavaScript or React is a plus

Familiarity with development tools such as Git/GitHub, Visual Studio Code, Eclipse

Exposure to AI coding assistants (e.g., IBM Bob)

Experience with Python data science and machine learning libraries such as scikit-learn, pandas, PyTorch etc.

Understanding of data visualization tools and techniques

Knowledge of basic statistics and data modeling concepts

Ability to learn and deploy dashboard & visual charts using React or other javascript libraries.

Preferred Technical And Professional Experience

Data Visualization Tools: Exposure to data visualization tools and technologies to effectively communicate insights and findings to stakeholders.

Machine Learning Concepts: Basic understanding of machine learning concepts and techniques to support data analysis and statistical modeling.

Programming Languages: Interest in programming languages, such as Python or R, to support data extraction, transformation, and combination.