Data Science Trainee

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2 Locations
In-Office or Remote
Software
The Role

We work on AI solutions for enhancing current processes in different service domains, in a very dynamic and fast pacing environment with continuous personal development in the field. You will work with Solution Owners and AI Engineering team, handing on AI/ML, Data Science, AIOps/MLOps technologies. Our Business Group is a leader in wireless mobility networks and associated services. With more than 3.500 patent families essential for 5G, we have a strong 5G portfolio and are a front runner in open and virtualized radio access networks (O-RAN and vRAN).

Responsibilities
  • Collaborate with solution consultants and solution owners to brainstorm AI/ML applications for problem-solving.
  • Blend historical data from diverse sources (customer network data, public information, field reports, etc.) to build efficient algorithms.
  • Apply advanced technologies and techniques, including predictive analytics, natural language processing, computer vision, and optimization algorithms.
  • Work closely with software and data engineers to integrate AI/ML algorithms into industrial products.
  • Engage in AI/ML projects across all phases: discovery, proof of concept, industrialization, and deployment.
  • Conduct functional and technical analysis of customer needs, design solutions, and document results in terms of data analysis and performance.
  • Establish connections with research councils and academic institutions, focusing on countries with high AI Readiness Index.
  • Collaborate with European and American research institutions to leverage bilateral scientific and technological advances.
Qualifications

You have:

  • BSc in Statistics, Machine Learning, Data Science, Computer Science, Computer Engineering, or a related field


  • Machine Learning concepts: supervised and unsupervised learning, linear and logistic regressions, random forests, gradient boosting, neural networks (RNN, LSTM, CNN), text mining and topics extraction, NLP, K-Means, decision trees, ML applied to computer vision
  • Knowledge of Python (scikit-learn, Pandas, NumPy, etc), Jupyter, Spark/Scala or R data science libraries
  • Knowledge of Generative AI and Agentic AI
  • English (written and verbal)
About Us
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. 

Learn more about life at Nokia.


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. 

About the Team
Some of our benefits:
  • Flexible and hybrid working schemes
  • Well-being programs to support your mental and physical health
  • Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
  • Employee Growth Solutions to support your personalized career & skills development
  • Diverse pool of Coaches & Mentors to whom you have easy access
  • A learning environment which promotes personal growth and professional development - for your role and beyond

Learn about additional benefits in specific countries.

Nokia Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nokia and has not been reviewed or approved by Nokia.

  • Equity Value & Accessibility Equity programs include a global employee share purchase plan with company matching and multi‑year share awards. These mechanisms broaden participation and tie rewards to long‑term outcomes.
  • Healthcare Strength Health coverage includes major medical plans with supplementary options such as vision, legal services, and care navigation. The range of offerings indicates comprehensive support for medical needs.
  • Parental & Family Support A global policy grants paid leave for new parents regardless of gender and provides structured return‑to‑work support. Company‑paid life insurance further strengthens family protection across regions.

Nokia Insights

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The Company
Dallas, Texas
132,624 Employees

What We Do

At Nokia, we create technology that helps the world act together. As a trusted partner for critical networks, we are committed to innovation and technology leadership across mobile, fixed and cloud networks. We create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs. Adhering to the highest standards of integrity and security, we help build the capabilities needed for a more productive, sustainable and inclusive world.

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