Quantum Data Analyst Intern 2027

IBM

Boston (MA)

On-site

USD 92,000 - 185,000

Part time

2 days ago

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Benefits offered by this job

Paid holidays

Stock purchase plan

Paid family medical leave

Job summary

IBM Research is seeking a Data Scientist Intern to support analytics efforts for the IBM Quantum adoption team. You will work with partners and community members to drive insights from data and enable data-driven decisions across hardware, software, and outreach initiatives.

The role emphasizes collaboration across IBM Quantum, product, marketing, and business development teams, with emphasis on hands-on analytics, dashboards, and predictive modeling.

Qualifications

Pursuing a masters or PhD in data science or 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 (NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn).
Knowledge of ML algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (XGBoost/LightGBM), neural networks and deep learning; experience with dashboards (Metabase/Amplitude) is a plus.

Responsibilities

Support data and analytics reporting on IBM Quantum partners and community members to enable data-driven decisions.
Assist end-to-end workstreams, including building new analytics resources and performing predictive analysis.
Collaborate with IBM Quantum teams and cross-functional partners in product, marketing and business development.

Skills

SQL

Python

Data analysis

ML algorithms

Data visualization

Communication

Education

Bachelor's Degree

Master's Degree

Tools

Github

Metabase

Amplitude

TensorFlow

PyTorch

Job description

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.

Required education

Bachelor's Degree

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.

ABOUT BUSINESS UNIT

IBM Research is the organic growth engine of IBM and an innovation engine for our customers and partners. As part of this mission, IBM Research anticipates and examines 'What's Next in Computing' to ultimately create and integrate the technologies the world relies upon to solve big challenges and unlock new opportunities. We create and pioneer new markets for IBM, our partners and customers as exemplified in our ongoing quest to reach practical and large-scale quantum computing. Across IBM Research, we realize the power and potential to accelerate discovery with our partners and clients by combining the power of high performance computing, AI, and Quantum, all integrated through the hybrid cloud.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM 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, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law.

This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role.

We consider qualified applicants with criminal histories, consistent with applicable law.

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

City / Township / Village

Yorktown Heights, San Jose, Cambridge

State / Province

New York, Massachusetts, California

Country

United States

Work arrangement

Onsite

Area of work

Data & Analytics

Employment type

Co-Op (Fixed Term)