Data Science Trainee

Job Description:

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).

* 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

Candidate Requirements:

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)