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.

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📌 Data Scientist (Barcelona)
🏢 Capitole
📍 Barcelona