Senior Data Science & AI Specialist

Nokia Corporation

3d

About The Position

Closely work with the AI Lead to define organizations and customers vision, roadmap, and priorities for AI adoption and integration. Evaluate business needs and identify high-value AI opportunities across functions. Explore new AI tools, technologies, and industry trends to ensure the organization stays ahead. Develop, train, and optimize machine learning models using state-of-the-art algorithms and techniques. Process and analyze large datasets to extract meaningful features and insights. Build scalable ML pipelines and deploy models into production environments. Collaborate with data scientists, telco engineers, automation experts and product managers to understand business requirements and translate them into AI solutions. Monitor model performance and continuously improve accuracy, efficiency, and robustness. Stay updated on emerging AI/ML trends and tools to apply best practices. Document experiments, processes, and results clearly for knowledge sharing and reproducibility. Use traditional automation languages like python combined with ML models to create a final product beneficial for Network Planning and Optimization practices. Python practical experience is a must

Requirements

• Experience with python

Responsibilities

• Define organizations and customers vision, roadmap, and priorities for AI adoption and integration.
• Evaluate business needs and identify high-value AI opportunities across functions.
• Explore new AI tools, technologies, and industry trends.
• Develop, train, and optimize machine learning models.
• Process and analyze large datasets.
• Build scalable ML pipelines and deploy models into production environments.
• Collaborate with data scientists, telco engineers, automation experts and product managers to understand business requirements and translate them into AI solutions.
• Monitor model performance and continuously improve accuracy, efficiency, and robustness.
• Stay updated on emerging AI/ML trends and tools to apply best practices.
• Document experiments, processes, and results clearly for knowledge sharing and reproducibility.
• Use traditional automation languages like python combined with ML models to create a final product beneficial for Network Planning and Optimization practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees