Senior Data Science & AI Specialist
Nokia
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. 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. Lead Certain Aspects of Automation Initiatives
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
Our recruitment process
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If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.
- Flexible and hybrid working schemes
- A minimum of 90 days of Maternity and Paternity Leave, with the option to return to work within a year following the birth or adoption of a child (based on eligibility)
- Life insurance to all employees to provide peace of mind and financial security
- Well-being programs to support your mental and physical health
- Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
- Employee Growth Solutions to support your personalized career & skills development
- Diverse pool of Coaches & Mentors to whom you have easy access
- A learning environment which promotes personal growth and professional development - for your role and beyond
Senior Data Science & AI Specialist reviews end-to-end processes for a given business line and defines, designs, and implements AI & Automation solutions to enhance efficiency and drive realization of related benefits. 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.
Bachelor’s or master’s degree in data science, Computer Science or related fields.
A minimum of 12+ years of industry standard experience, 6-7 years work experience in software development/engineering projects, with minimum 2-3 years of AI/ML & Data Engineering experience.
Strong programming skills in Python and familiarity with ML libraries.
Experience with data manipulation and transformation, big data queries and handling larger datasets.
Understanding of ML algorithms including supervised, unsupervised, and deep learning methods.
Experience in interfacing python tools with relational databases – Atleast 1-2 of these (Click house, Presto, MySQL, Oracle, SQL Server, Postgress)
Solid foundation in statistics and data analysis.
Knowledge of cloud platforms (AWS, GCP, Azure) and experience with containerization (Docker, Kubernetes) is a plus.
Strong problem-solving skills, ability to work independently and collaboratively with customers and internally.
Excellent Communication skills – English.
Spanish and Portuguese is a plus - Optional.
Good knowledge of 5G & LTE network architecture, and network optimization is a plus – Optional
Interprets internal and external business challenges and recommends best practices to improve products, platforms, tools, processes and services using AI & Automation initiatives.
• Has in-depth organisational and relevant market knowledge and uses understanding on how relevant areas can be integrated to achieve objectives.
• Solves complex problems based on sophisticated analytical thought and complex judgment.
• Contributes to development of concepts to determine professional direction of own organisational unit.
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.
Leads certain aspects of Automation Initiatives including E2E backend, frontend and deployment. Drive extended teams.
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.