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Care Data Analytics & AI Intern

Nokia

Nokia

Software Engineering, Data Science
United States
Posted on Feb 28, 2026

Position: Care Data Analytics & AI Intern
Number of Positions: 1
Date: June - August 2026
Location: On-site in Dallas, TX
Duration: 10 weeks


Educational Recommendations

Currently pursuing a Bachelor’s or Master’s degree program in Data Analytics, Business Intelligence, Computer Science, or a related field at an accredited US institution.


Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.



Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.


Some of our benefits for students in the US:
  • Flexible and hybrid working schemes to balance study, work, and life
  • Professional development events and networking opportunities
  • Well-being programs, including Personal Support Service 24/7 - a confidential support channel open to all Nokia employees and their families in challenging situations
  • Opportunities to join Nokia Employee Resource Groups (NERGs) and build connections across the organization
  • Employee Growth Solutions, mentorship programs, and coaching support for your career development
  • A learning environment that fosters both personal growth and professional development – for your role and beyond

Disclaimer for US/Canada

Nokia maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity. Check the salary ranges in the job info section for this role.

All North America job posts will post for a minimum of 3 calendar days and up to 180 days or until candidate/s identified.

You will contribute to projects focused on data collection and distribution, AI model training and inference management, and the development of trustworthy AI solutions for network and service automation. This role offers a unique chance to apply theoretical knowledge to real-world challenges and contribute to Nokia's leadership in AI/ML standardization. If you're eager to expand your skills, embrace new technologies, and make a tangible impact on Nokia's future, we encourage you to apply.
  • Proficiency in SQL, Python, or R for data analysis
  • Familiarity with visualization tools such as Power BI or Tableau
  • Strong analytical and problem-solving skills
  • Ability to work with complex datasets and identify inconsistencies
  • Strong communication skills and ability to collaborate across teams

Nice to Have

  • Knowledge of financial forecasting or variance analysis
  • Experience with workflow automation tools
  • Understanding of machine learning concepts or basic modeling
  • Exposure to AI-enabled productivity or monitoring tools

  • Collaborate with stakeholders to understand reporting needs and translate them into clear data solutions
  • Evaluate operational processes and tools to identify gaps or inefficiencies
  • Identify opportunities to automate manual reporting steps and improve efficiency
  • Develop and update operational and financial dashboards used by business leaders
  • Clean, Integrate & Validate Data