Our Exciting Opportunity We are seeking a technically curious Data Science Intern to join our applied analytics team. You will work with experienced data scientists and engineers to turn data into actionable insights and help deliver reproducible, well-tested analyses. This internship is hands-on: you'll contribute to model development, experiment design, and end-to-end workflows while learning production-aware practices such as version control, containerization, and basic deployment patterns.
What you will do:
- Translate business problems into measurable data questions and define evaluation criteria (metrics, baselines).
- Prepare and engineer features from structured and unstructured sources; write clear, reproducible data pipelines and SQL queries.
- Implement, train, and evaluate models (regression, classification, clustering, simple neural networks) with attention to cross-validation, hyperparameter tuning, and performance monitoring.
- Develop notebooks and modular Python code (with unit tests and documentation) and help package work for reproducibility (Git, virtual environments, Docker basics).
- Produce clear visualizations and model summaries to communicate results and limitations to stakeholders.
- Collaborate in code reviews, experiment tracking, and model validation; learn essentials of MLOps (model versioning, basic deployment concepts).
To be successful in the role you should have:
Education & Knowledge:
- Currently enrolled in or recently graduated from Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field.
- Solid grounding in statistics, basic probability, and core machine learning concepts (bias/variance, regularization, evaluation metrics).
Skills & Tools
- Proficient in Python and familiar with common libraries (pandas, numpy). Strong emphasis on writing modular, readable code.
- Experience with Jupyter notebooks and at least one ML library (scikit-learn required; exposure to PyTorch or TensorFlow is a plus).
- Comfortable writing SQL for data extraction and basic familiarity with data ingestion/ETL concepts.
- Basic data visualization skills (matplotlib, seaborn, or equivalent) and ability to interpret model diagnostics.
- Familiarity with Git for version control; interest in containerization (Docker) and cloud concepts (AWS/GCP/Azure) is advantageous.
Preferred:
- Coursework or projects demonstrating model evaluation, cross-validation, hyperparameter search, or simple deep learning.
- Exposure to experiment tracking tools, collaborative development (code reviews), or basic model deployment workflows.
- Strong communication skills and eagerness to adopt software engineering best practices.
What we offer:
- Mentorship from experienced data scientists and engineers.
- Hands-on work on end-to-end projects with real datasets and measurable business impact.
- Opportunity to learn production-aware data science practices and advanced techniques.
- A collaborative environment where technical growth and best practices are encouraged.
Duration: 6 months (flexible)
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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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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.
