Telecom Data Scientist | Early Career Program
Core
Transform Ericsson R&D into a connected, data-driven, AI-native way of working by applying data science, machine learning, and generative AI to Radio Access Network (RAN) and product-development challenges.
Role type
Early career data scientist (Applied Generative AI)
Builds
Data pipelines, knowledge systems, retrieval capabilities, and AI models for Ericsson technologies and terminology.
Domain
Telecommunications / Radio Access Networks (RAN) / Generative AI
Deliverable
production ML models
Required skills
Data science, machine learning, generative AI (LLMs, RAG, AI agents), statistics, experimentation, model development and evaluation, programming, software development, knowledge of wireless communications or radio networks, analytical judgement, ability to explain uncertainty and model limitations
Preferred skills
Experience in software or product development, knowledge of RAN, strong communication and collaboration skills
Technologies
Large language models, retrieval-augmented generation (RAG), AI-agent systems
Responsibilities
Translate RAN and product-development challenges into data science and AI problems; Make engineering information useful and trustworthy for AI; Build data pipelines and knowledge systems; Experiment with and evaluate machine learning and generative AI; Connect code, system knowledge, and operational evidence to support development and operation; Help develop and assess AI models; Turn successful experiments into maintainable engineering capabilities
