Data Scientist

🔹 Data Scientist 🔹

We are looking for a Data Scientist with 3+ years of professional experience to join a team in Barcelona.

In this role, you will work with data processing, Machine Learning and applied statistics, combining strong Python and SQL skills with experience working with large datasets and cloud environments.

You will contribute to projects involving data preparation, statistical analysis and Machine Learning models, with a strong focus on data quality and practical problem-solving.

If you enjoy working hands-on with Python, SQL, Machine Learning and cloud technologies, this could be your next challenge.

💻 What you'll do

🔹 Work with large volumes of data, including data manipulation and preprocessing.

🔹 Develop and optimise advanced SQL queries.

🔹 Develop Python scripts using its main data science libraries and tools.

🔹 Work with ETL processes, data storage, integration and processing.

🔹 Apply Machine Learning and statistical techniques, including predictive models, regression, classification, clustering and/or time series.

🔹 Apply statistical methods such as hypothesis testing, regression analysis and probability distributions.

🔹 Contribute to data modelling, governance and data quality practices.

🔹 Create data visualisations using tools such as Matplotlib, Seaborn or ggplot2.

🔹 Work with cloud environments such as AWS, Azure or Google Cloud.

💡 Must Have

🔹 3+ years of professional experience in Data Science, particularly in data storage, integration, processing and/or ETL environments.

🔹 Advanced SQL, including query development and optimisation.

🔹 Professional experience with Python and its main libraries and tools.

🔹 Experience manipulating and preprocessing large datasets using SQL and Pandas or Polars.

🔹 Experience with at least one major cloud platform: AWS, Azure or Google Cloud.

🔹 Practical experience applying Machine Learning and statistical techniques.

🔹 Knowledge of applied statistics, including hypothesis testing, regression analysis and probability distributions.

🔹 Experience with data modelling, governance and data quality.

🔹 Experience with data visualisation tools such as Matplotlib, Seaborn or ggplot2.

🔹 Degree, Master's or PhD in Computer Science, Economics, Business Administration, Data Science or a related discipline.

🔹 Professional/native Spanish.

✨ Nice to Have

🔹 Experience working autonomously on Statistics and Machine Learning projects.

🔹 Experience with Tableau.

🏢 Hybrid model - 2 days on site per week

🌍 Why join this project?

🤝 People first – diverse and inclusive culture in an international environment.

📊 Work on high-impact Data & Insights initiatives across business performance, operations, finance, and commercial domains.

🚀 Help shape how data supports strategic decision-making across a large international organisation.

🧠 Explore the evolution of AI-driven analytics, productivity tools, and data discoverability.

⚙️ Contribute to self-service analytics, data products, and scalable reporting practices.

📈 Work closely with business and senior stakeholders, turning complex data into meaningful insights.

😁 High team stability and collaborative culture.

🎓 €1200 per year training budget and continuous learning opportunities.

💰 Flexible compensation model.

🩺 Private health insurance and benefits package.

⚡ Flexible working hours and hybrid model.

🏋️ Wellhub: fitness, wellness, and mental health support.

⚽ Football and paddle tennis teams sponsored by Capitole.

🥳 Team buildings, global events, and strong tech communities.

✨ Want to know more about us? Click here and discover all the details.

🔍 Curious about our culture? Check out what people are saying about us on Glassdoor.

💬 We know that not every candidate will meet 100% of the requirements. If your profile doesn’t match perfectly but you believe you can add value, we’d still love to hear from you.

👉 Ready for the challenge? Apply now!

Empowering People, Unlocking Innovation.

Information Security Notice

• The employee will have access to confidential information related to Capitole and the assigned project.
• Compliance with internal security and information protection policies is mandatory.
• NDA signature required.