Data Scientist Intern

Technology, Data & Digital · Data, AI & Analytics · Data Science

In short

We are seeking a curious Data Science Intern to join our applied analytics team in Madrid. You will collaborate with experienced professionals on model development, experiment design, and end-to-end workflows, learning production-aware practices like version control and containerization.

Responsibilities

Translate business problems into measurable data questions and define evaluation criteria.
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).
Develop notebooks and modular Python code with unit tests and documentation.
Help package work for reproducibility (Git, virtual environments, Docker basics).
Produce clear visualizations and model summaries to communicate results and limitations.
Collaborate in code reviews, experiment tracking, and model validation.
Learn essentials of MLOps (model versioning, basic deployment concepts).

Requirements

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.
Proficient in Python and familiar with common libraries (pandas, numpy).
Experience with Jupyter notebooks and at least one ML library (scikit-learn required).
Comfortable writing SQL for data extraction and basic familiarity with data ingestion/ETL concepts.
Basic data visualization skills (matplotlib, seaborn, or equivalent).
Familiarity with Git for version control.

Desired Qualifications

Exposure to PyTorch or TensorFlow is a plus.
Basic familiarity with containerization (Docker) and cloud concepts (AWS/GCP/Azure) is advantageous.
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.

Benefits

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.

Skills

PythonpandasnumpySQLJupyterscikit-learnmatplotlibseabornGitDockerAWSGCPAzurePyTorchTensorFlow

#Data Science#Analytics#Machine Learning#Python#SQL#Git#Docker#Cloud

About Ericsson

Pioneering technology for connecting billions of people worldwide

Our purpose \nTo create connections that make the unimaginable possible.\n\nOur vision\nA world where limitless connectivity improves lives, redefines business and pioneers a sustainable future.\n\nOur values\nPerseverance, professionalism, respect and integrity.\n\nThe future is a place for purpose & vision – ours are clear, and we invite partners, customers and consumers to join us in our journey. \n\nFor a brighter future. For all. Let's #ImaginePossible

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