Data Scientist

Capitole; Barcelona; Hybrid; EUR 48,000 - 72,000; Full time

Benefits offered by this job

Training budget €1200/yr

Private health insurance

Benefits package

Flexible hours

Hybrid work model

Wellhub wellness program

Team events

Job summary

Capitole in Barcelona is seeking a Data Scientist with 3+ years of professional experience to join a data-driven team. You will work with data processing, ML and statistics, using Python and SQL to handle large datasets and cloud environments.

You will contribute to data preparation, modelling and governance, focusing on data quality and practical problem solving. Hybrid work with 2 days on site per week is offered, and you will collaborate with senior stakeholders across the organization.

Qualifications

• Experience with data processing, ML and applied statistics.
• Strong Python and SQL skills for large datasets.
• Cloud environments experience is a plus.

Responsibilities

• Work with large volumes of data, data manipulation and preprocessing.
• Develop and optimise advanced SQL queries.
• Develop Python scripts using data science libraries.
• Work with ETL processes, data storage, integration and processing.
• Apply ML and statistical techniques including predictive models, regression, classification, clustering and time series.
• Apply statistical methods like hypothesis testing, regression analysis and probability distributions.
• Contribute to data modelling, governance and data quality.
• Create data visualisations using 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 with large datasets using SQL and Pandas or Polars.
• Experience with at least one major cloud platform: AWS, Azure or Google Cloud.
• Practical experience applying ML and statistical techniques.
• Knowledge of applied statistics.

Skills

Python

SQL

Data analysis

Machine Learning

Pandas/Polars

Data visualization

Statistics

Big data

Data modelling

Education

Degree, Master’s or PhD in Computer Science, Economics, Business Administration, Data Science or related discipline

Tools

Tableau

Matplotlib/Seaborn/ggplot2

AWS

Azure

Google Cloud

Job description

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.

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.

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.