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 .
- 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 .
- Experience working autonomously on Statistics and Machine Learning projects .
- Experience with Tableau .

Location & Working Conditions

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 .

Private health insurance and benefits package .

Adaptable 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.

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.

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.

#J-18808-Ljbffr

📌 Data Scientist (Barcelona)
🏢 Capitole
📍 Barcelona