Urgent! 2026 Intern: Quantum Data Analyst Job Opening In Albany – Now Hiring IBM
**Introduction**
IBM Research takes responsibility for technology and its role in society.
Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations.
Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make.
IBM's product and technology landscape includes Research, Software, and Infrastructure.
Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
**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 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
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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Unlock Your 2026 Intern Potential: Insight & Career Growth Guide
Real-time 2026 Intern Jobs Trends in Albany, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for 2026 Intern in Albany, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 61531 jobs in United States and 318 jobs in Albany. This comprehensive analysis highlights market share and opportunities for professionals in 2026 Intern roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! IBM is currently hiring and seeking a 2026 Intern: Quantum Data Analyst to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: 2026 Intern: Quantum Data Analyst Jobs Albany.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at IBM adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a 2026 Intern: Quantum Data Analyst Jobs United States varies, but the pay scale is rated "Standard" in Albany. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for 2026 Intern: Quantum Data Analyst typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your 2026 Intern: Quantum Data Analyst interview at IBM, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the IBM's products or services and be prepared to discuss how you can contribute to their success.
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