About this opportunity
Ericsson's Early Career Program is an 18-month journey for recent graduates and professionals with up to five years of relevant experience. Through three rotations, including an international placement and market exposure, you will work on meaningful challenges, contribute new ideas, and develop your professional network.
The Excellerate track develops future leaders motivated by performance, pace, and commercial impact. Rotations across areas such as Sales, Commercial Management, Strategy, Supply, and Finance will help you understand how different parts of the business create value.
Position summary
As a Data Scientist, you will apply data science, artificial intelligence, and MLOps practices to evolve Ericsson's Intelligent Mobile Core and improve the performance and efficiency of future mobile networks on the path towards 6G.
You will work on packet core traffic, network analytics and optimization, data lake initiatives, and AI-driven tools that improve software development workflows, including test prioritization, regression detection, log analysis, code review, and CI/CD feedback.
What you will do
- Develop and evaluate machine learning and statistical models for traffic classification, network analytics, and optimization.
- Analyse network, system, application, log, and telemetry data to identify patterns and improvement opportunities.
- Build data preparation, feature engineering, experimentation, evaluation, and visualization workflows.
- Apply MLOps practices for model versioning, testing, deployment, monitoring, and continuous improvement.
- Contribute to data lake and data product initiatives.
- Translate technical questions into data requirements, success criteria, recommendations, and documented solutions.
- Collaborate with software engineering, data engineering, architecture, technology, and international teams.
What you bring
- A bachelor's or master's degree, or equivalent practical experience, in Data Science, Computer Science, Statistics, Mathematics, Engineering, Telecommunications, or a related field.
- Strong Python skills, including pandas and NumPy.
- Familiarity with data pipelines, distributed processing tools such as Spark or Airflow, and efficient data formats such as Parquet or Arrow.
- Foundational knowledge of machine learning, statistics, feature engineering, model evaluation, cross-validation, class imbalance, and MLOps.
- Experience with deep learning frameworks such as PyTorch or TensorFlow and architectures including CNNs, RNNs, or Transformers.
- Familiarity with Linux, Docker, Kubernetes, and reproducible development environments.
- Practical experience gained through academic projects, internships, research, or professional work.
- Curiosity, ownership, structured problem-solving, clear English communication, and a collaborative mindset.
Preferred experience
Experience with MLOps, ML pipelines, model monitoring, data lakes, large-scale telemetry, telecommunications, 4G/5G Core, anomaly detection, time-series analysis, generative AI, Git, CI/CD, containers, or infrastructure automation.
Why Ericsson?
You will work with advanced technologies, learn from experienced colleagues, and help make networks smarter, more efficient, and ready for what comes next.
Main improvements: Reduced repetition, consolidated overlapping technical requirements, shortened long sentences, and retained the role's core scope, qualifications, and employer proposition.
Skills Required
- Bachelor's or master's degree, or equivalent practical experience, in Data Science, Computer Science, Statistics, Mathematics, Engineering, Telecommunications, or a related field
- Strong Python skills, including pandas and NumPy
- Familiarity with data pipelines, distributed processing tools such as Spark or Airflow, and efficient data formats such as Parquet or Arrow
- Foundational knowledge of machine learning, statistics, feature engineering, model evaluation, cross-validation, class imbalance, and MLOps
- Experience with deep learning frameworks such as PyTorch or TensorFlow and CNN, RNN, or Transformer architectures
- Familiarity with Linux, Docker, Kubernetes, and reproducible development environments
- Practical experience through academic projects, internships, research, or professional work
- Clear English communication and a collaborative mindset
- Experience with MLOps, ML pipelines, model monitoring, data lakes, large-scale telemetry, telecommunications, 4G/5G Core, anomaly detection, time-series analysis, generative AI, Git, CI/CD, containers, or infrastructure automation
What the Team is Saying
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Ericsson Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as broad and reliable, with multiple medical plan choices, dental/vision, and mental-health/EAP resources. Available descriptions highlight healthcare and disability insurance as consistent strengths.
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Retirement Support — U.S. materials point to an automatic company 401(k) contribution plus matching that can add up to a notably high employer contribution, and some regions also offer pension options. This structure is often cited as a meaningful component of total rewards.
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Leave & Time Off Breadth — Time-off programs are characterized as generous, with sizable vacation allowances, paid holidays, sick time, volunteer time, and strong parental leave in some locations. PTO is frequently highlighted as a standout element of the package.
Ericsson Insights
What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
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Ericsson Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Ericsson adopts a hybrid work model globally because we know balance matters. Sometimes things are better in real life. Other times we can be more productive at home. Our hybrid approach gives you the best of both worlds.
