Telecom Data Scientist | Early Career Program

Ericsson AB

Stockholms kommun

On-site

SEK 420,000 - 540,000

Full time

37 hours ago
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Job summary

Ericsson AB invites candidates for the Early Career Program, a measured 18‑month journey starting in the Telecom Data Scientist role within the Applied Generative AI team. The program includes three rotations, including one international exposure, with day-one hiring into a role and a path to impact across RAN challenges.

You will learn to translate network and product challenges into AI solutions, build data pipelines and AI capabilities, and contribute to data-driven product development while

Qualifications

  • MSc or PhD in data science, computer science, AI, machine learning, telecommunications, electrical or software engineering, mathematics, or a related field.
  • Applied data science and machine-learning skills, including statistics, experimentation, model development and evaluation.
  • Practical generative-AI experience in LLMs, retrieval-augmented generation, model adaptation, AI agents or model evaluation.
  • Knowledge of wireless communications or radio networks, and interest in building deeper RAN expertise.
  • Hands-on programming and software-development experience, including work with complex data and reproducible analyses, models or pipelines.
  • Understanding of how product development connects requirements, architecture, implementation, verification, release and maintenance.
  • Analytical judgement, an experimental mindset, and the ability to explain uncertainty, model limitations and technical trade-offs.
  • Strong communication and collaboration skills, proficiency in English, and readiness to work in global, cross-functional teams.

Responsibilities

  • Translate RAN and product-development challenges into data science and AI problems with defined success metrics.
  • Make engineering information useful and trustworthy for AI by organizing specs, code, tests and logs.
  • Build data pipelines, knowledge systems and retrieval capabilities across formats.
  • Experiment with and evaluate machine learning and generative AI, including LLMs and AI agents.
  • Connect code, system knowledge and operational evidence to support development, verification, deployment and maintenance.
  • Turn successful experiments into maintainable engineering capabilities with attention to data quality and responsible AI.

Skills

Data science
Machine learning
Statistics
Experimentation
Model development
Model evaluation
Communication skills
Collaboration
English proficiency

Education

MSc or PhD in data science or related field

Job description

About this opportunityEricsson’s Early Career Program is an 18-month journey for you who are recently graduated or have up to five years of relevant experience. Through three rotations, including one international and market exposure, you will tackle challenges that matter, work alongside people who expect you to contribute, question, and move things forward.The Innovate track is designed for you who are driven by building what’s next. You’ll rotate across Research, Product Development, Data, and AI contributing to solutions that don’t just support the business but move it forward.This isn’t a program where you sit on the sidelines. From day one, you’re hired into a role, trusted to contribute, supported to grow, and expected to make an impact. Find out more about the Early Career program here.Your journey within the Innovate Program will start as Telecom Data Scientist in the Applied Generative AI team at Business Area Networks.What you will doYou will join a dynamic and international environment where you’ll have the opportunity to learn, grow and make a real business impact. As part of the Applied Generative AI team, you will use data science, machine learning and generative AI to help transform Ericsson R&D from a development flow organized in separate disciplines into a connected, data-driven and AI-native way of working. You will:Translate Radio Access Network (RAN) and product-development challenges into data science and AI problems, define success measures, and evaluate results with engineering and domain teams.Make engineering information, including specifications, architecture, code, tests, logs and operational reports, useful and trustworthy for AI.Build data pipelines, knowledge systems and retrieval capabilities that connect engineering information in different formats.Experiment with and evaluate machine learning and generative AI, including large language models and AI-agent systems.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 with RAN specialists and users.Turn successful experiments into maintainable engineering capabilities, with attention to data quality, security, responsible AI, monitoring and human review.You will bringYou are curious and pragmatic, take initiative, ask questions and work well across disciplines. You combine a strong foundation in data science, machine learning and generative AI with knowledge of telecommunications or radio networks, and want to apply it to real product-development challenges. Experience in software or product development is an advantage.In addition, you have:MSc or PhD in data science, computer science, AI, machine learning, telecommunications, electrical or software engineering, mathematics, or a related field.Applied data science and machine-learning skills, including statistics, experimentation, model development and evaluation.Practical generative-AI experience in one or more areas such as large language models, retrieval-augmented generation (RAG), model adaptation, AI agents or model evaluation.Knowledge of wireless communications or radio networks, and interest in building deeper RAN expertise.Hands-on programming and software-development experience, including work with complex data and reproducible analyses, models or pipelines.An understanding of how product development connects requirements, architecture, implementation, verification, release and maintenance.Analytical judgement, an experimental mindset, and the ability to explain uncertainty, model limitations and technical trade-offs.Strong communication and collaboration skills, proficiency in English, and readiness to work in global, cross-functional teams.Why join Ericsson?At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.Primary country and city: Sweden (SE) || StockholmReq ID: 791456
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