Thank you for your interest in Nokia! Let me help provide some perspective on your question.

Nokia is a global technology company with tens of thousands of employees working across multiple business groups, products, and technologies. While I assume your question about 'tech stack' refers to software development, it's important to note that Nokia's scope is much broader. The company includes many different areas such as:

• Software development teams
• Hardware engineering and development
• Research and innovation teams
• Network deployment and maintenance
• Customer service and technical support
• Sales and marketing
• Legal and compliance
• Finance and operations
• And many other functions

Each of these areas requires different skill sets, uses different tools and technologies, and has very different day-to-day responsibilities. Even within software development alone, there isn't a single tech stack or uniform daily routine that would apply across the company.

To help narrow down the discussion, it would be helpful to know:

• Which area interests you most
• What type of role you're looking into (e.g., software development, testing, project management, etc.)
• The general level of experience you are interested in (e.g., student, early career, experienced professional)

However, I can share some general insights from my experience with the software development teams I've worked with:

• Many teams use modern agile development practices
• Common programming languages include Go, Python, Java, C++, TypeScript/JavaScript (though specific choices depend on the project)
• Strong emphasis on cloud technologies and automation
• Particularly strong focus on cybersecurity and quality assurance, as telecommunications networks must maintain extremely high availability (think emergency calls) and handle sensitive private information that millions of people trust us with every day
• Collaborative global teams using modern communication and project management tools

If you can share which area interests you most, what type of role you're considering, and your experience level (as mentioned above), I'll try my best to provide more specific insights relevant to your interests, particularly if they relate to software development and adjacent roles. However, please note that my knowledge is limited to the specific areas I've worked in, so I may not be able to provide detailed information about the roles you are interested in.

04 June, 2025 17:29

Hi Vilmos,
Thank you so much for taking your time to respond to my question. I am attaching the specifics that you asked for.
I am focusing on Data Science specific roles and am interested in early career level roles.

Thanks,

Rishy

04 June, 2025 19:03

Dear Rishy,

Thank you for providing the details about your interest! Unfortunately, I don't work directly in Data Science and therefore can't provide specific details about the tech stack and daily responsibilities. Nevertheless, I can share some valuable context about why this field is crucial at Nokia.

Data Science, along with Machine Learning and AI, plays a fundamental role in Nokia's vision for the future of telecommunications. As a telecommunications company, Nokia's networks generate vast amounts of data that need to be analyzed continuously to optimize performance, predict issues before they occur, and help make critical decisions.

A great example of this is Nokia's commitment to "Autonomous Networks" (https://www.nokia.com/autonomous-networks/) — a concept where networks "sense, think, and act". This involves:

• Gathering and analyzing enormous amounts of network data in real-time
• Using advanced AI and Machine Learning models to detect anomalies and predict potential issues
• Implementing automated solutions based on this analysis
• Creating continuous feedback loops for ongoing optimization

For early career Data Scientists, this means working on meaningful problems that directly impact millions of users worldwide. You would be contributing to systems that help telecommunications networks become more efficient, reliable, and intelligent.

I apologize that I couldn't provide more specific details about the day-to-day work, but I hope this gives you a better picture of how Data Science fits into Nokia's broader mission and why it's such an important field for the company. I wish you the best in your career journey and hope you'll find an exciting Data Science role where you can work on meaningful projects that make a real difference!

06 June, 2025 16:14