Quantum Data Analyst Intern 2027

IBM; San Jose (CA); On-site; USD 20,000 - 30,000; Full time

Job summary

IBM Research in San Jose invites a data scientist intern to support analytics for IBM Quantum partners, turning data into insights that guide decisions.

Ideal candidates are pursuing a Master’s in data science or quantitative fields, with strong SQL and Python skills, knowledge of ML algorithms, and experience creating dashboards with Metabase or Amplitude. You’ll collaborate across IBM Quantum, product, marketing and BD teams.

Qualifications

• Pursuing a master's or PhD in data science or quantitative field.
• Proficiency with SQL and relational databases.
• Proficiency with Python and data-analysis libraries.
• Knowledge of ML algorithms and DL frameworks; experience with dashboards/tools.

Responsibilities

• Support data and analytics for IBM Quantum partners and community members.
• Build analytics resources and perform advanced data analysis to drive decisions.
• Create dashboards and visualizations to track adoption and impact.
• Collaborate with IBM Quantum teams including product, marketing and business development.

Skills

SQL

Python

ML algorithms

Data visualization

Education

Master's Degree

Tools

GitHub

Metabase

Amplitude

Job description

Introduction

At IBM Research, we are the innovation engine of IBM. Exploring what’s next in computing and shaping the technologies the world will rely on tomorrow. From advancing AI and hybrid cloud to pioneering practical quantum computing, we anticipate challenges and unlock new opportunities for clients, partners, and society. Working in Research means joining a team that accelerates discovery at the intersection of high-performance computing, AI, quantum, and cloud. You’ll collaborate with leading scientists, engineers, and visionaries to push boundaries and turn ideas into reality. With a culture built on curiosity, creativity, and collaboration, IBM Research offers the opportunity to grow your career while contributing to breakthroughs that transform industries and change the world.

Introduction

At IBM Research, we are the innovation engine of IBM. Exploring what’s next in computing and shaping the technologies the world will rely on tomorrow. From advancing AI and hybrid cloud to pioneering practical quantum computing, we anticipate challenges and unlock new opportunities for clients, partners, and society. Working in Research means joining a team that accelerates discovery at the intersection of high-performance computing, AI, quantum, and cloud. You’ll collaborate with leading scientists, engineers, and visionaries to push boundaries and turn ideas into reality. With a culture built on curiosity, creativity, and collaboration, IBM Research offers the opportunity to grow your career while contributing to breakthroughs that transform industries and change the world.

Your Role And Responsibilities

Within IBM Quantum, the Adoption Team is an elite team serving our partners as they research quantum computing solutions for their most pressing business challenges. We keep our partners up to date with the latest technical advances, and make sure they are empowered to use our software and services. As a data scientist intern, you will be supporting our data and analytics mission to drive reporting on and insights into the IBM Quantum partners and community members and your work will enable the team to make data-driven decisions. Focus areas will include adoption and impact of IBM Quantum hardware, software, learning and outreach content, and events. As a data scientist intern, your key stakeholders will be client/community-facing teams at IBM Quantum. In addition, you will interface across many individuals and parties at partner institutions and within IBM, including technical teams within IBM Quantum, product, marketing, and business development teams. You will support end-to-end workstreams, such as the building of new analytics resources and performing of advanced (predictive) data analysis. Successful attributes to thrive in this role are: Creative in framing and solving complex problems Self-starter Agile in navigating a complex organization and in stakeholder management Organized, with exceptional project management skills Quick learner with an independent growth mindset Able to absorb new technical concepts quickly and thoroughly Excellent communication skills, with the ability to explain technical concepts clearly Enthusiasm about quantum computing and data science.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Pursuing a masters or PhD degree in data science or other quantitative field such as mathematics, computer science, statistics or physics.
• Proficiency with SQL and experience working with relational databases.
• Proficiency with Python and libraries commonly used for data analysis (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.).
• Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience building dashboards with one or more data visualization tools (experience with Metabase and/or Amplitude a plus)

Preferred Technical And Professional Experience

• Experience with Github or other version control platform(s).
• Demonstrated ability to communicate project insights and findings and propose actionable next steps.