Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
We are seeking a highly motivated trainee to join a team of Data Scientist/ Machine Learning Engineers. The role involves developing innovative AI applications based on advanced ML techniques and Data Science concepts. These applications will be deployed globally, delivering impactful solutions to Nokia customers.
Position: Internship
Duration: 12 months
Start Date (tentative): July, 2025
Location: Hybrid in Amadora, Portugal
Education Recommendations: Currently a candidate finishing their BSc or MSc degree in Data Engineering, Computer Science, Telecommunications, or a related field with an accredited school
How You Will Contribute And What You Will Learn
- Develop and implement Machine Learning models and algorithms to extract actionable insights from complex datasets.
- Conduct research, implementation, and testing of AI solutions, including generative AI and agent-based applications.
- Utilize Big Data technologies (e.g., Spark, Ray, Dask) to process and review large-scale datasets.
- Apply statistical techniques, descriptive or predictive analytics, and data visualization strategies for effective decision-making.
You have:
- BSc/ MSc degree in Computer Science, Engineering or similar.
- Relevant expertise in Machine Learning algorithms, Deep Learning architectures (e.g., CNN, LSTM, Transformers), and generative AI techniques.
- Programming: Python. Knowledge of R and Scala is an advantage.
- Fluent in spoken and written English.
- Cloud Platforms: Knowledge of GCP, AWS, or Azure is highly valued.
- Web Development: JavaScript experience is a plus for creating visualization or interfacing.
- Big Data: Experience with tools such as Spark, Ray and Dask.
- Streaming Applications: Proficiency in Kafka, Spark and Flink for data processing and real-time analytics.
Come create the technology that helps the world act together
Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
What we offer
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
Nokia is committed to inclusion and is an equal opportunity employer
Nokia has received the following recognitions for its commitment to inclusion & equality:
- One of the World’s Most Ethical Companies by Ethisphere
- Gender-Equality Index by Bloomberg
- Workplace Pride Global Benchmark
We are committed to a culture of inclusion built upon our core value of respect.
Join us and be part of a company where you will feel included and empowered to succeed.
About The Team
As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.