Telecom Data Scientist | Early Career Program
Core
Transform Ericsson R&D from a development flow organized in separate disciplines into a connected, data-driven and 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 (generative AI & RAN)
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, statistics, model development and evaluation, programming, software development, knowledge of wireless communications or radio networks, analytical judgement, experimental mindset
Preferred skills
Experience in software or product development, knowledge of RAN, ability to explain uncertainty and technical trade-offs
Technologies
Large language models, retrieval-augmented generation (RAG), AI-agent systems
Responsibilities
Translate RAN and product-development challenges into data science and AI problems, define success measures, and evaluate results; Make engineering information useful and trustworthy for AI; Build data pipelines, knowledge systems and retrieval capabilities; Experiment with and evaluate machine learning and generative AI; Connect code, system knowledge and operational evidence to support work throughout development, verification, deployment, operation and troubleshooting; Help develop and assess AI models for Ericsson technologies and terminology; Turn successful experiments into maintainable engineering capabilities
Seniority
Early career (0-5 years experience)
