For an entry-level Data Scientist at Nokia, here are some key skills and knowledge areas to focus on:

• Strong foundation in statistics and probability – critical for understanding data patterns and making sound inferences.
• Proficiency in Python or R – including libraries like pandas, NumPy, scikit-learn, and basic data visualization tools.
• Data wrangling and cleaning – real-world data is messy, and being able to prepare data for analysis is essential.
• Understanding of machine learning basics – especially supervised learning techniques like regression and classification.
• Communication skills – being able to explain findings to non-technical audiences is highly valued.
• Teamwork and curiosity – the best data scientists ask good questions, work well with others, and are eager to keep learning.

I really cannot emphasize the Teamwork and curiosity components enough. Being able to collaborate with cross-functional teams and ask thoughtful questions often leads to the most valuable insights — sometimes even more than the model itself. The best data scientists aren’t just coders — they’re problem-solvers who stay open, adaptable, and always eager to learn from both data and people.

03 June, 2025 13:02