Data Scientist

September 21, 2026

Hybrid

Middle

Barcelona, Spain

Important before applying

This job has conditions that may affect your decision to apply

English is required · B2 level

Description

An international B2B travel-tech scale-up is looking for a Data Scientist to join its Data & Analytics Team. The role covers designing, building and improving analytical and predictive solutions, from statistical models to reporting and dashboards, and turning findings into clear, actionable insights. The specialist will help define KPIs and metrics with business and strategy stakeholders, build the foundations of a source of truth through data modeling, and prototype ML use cases such as forecasting, segmentation and recommendation. The position is hybrid with a flexible working policy and offices in Europe.

Responsibilities

Design, build, and improve analytical and predictive solutions, from statistical models to reporting and dashboards
Turn findings into clear, actionable insights through charts, graphs, and dashboards
Learn all aspects of the travel industry from Finance, Products, Sales, and Service/Operations perspectives
Translate data into actionable insights and verifiable reporting
Identify opportunities where machine learning or automation can add value
Engage with Business and Strategy stakeholders to help define KPIs and metrics
Define how data will be captured, shared, modeled, and leveraged across departments
Contribute to building the foundations of a comprehensive source of truth through data modeling
Help prototype and operationalize data science use cases (e.g., forecasting, segmentation, recommendation)

Requirements

Previously worked in a Tech Company
Demonstrated experience with Python (or R) for data analysis and modeling
Working knowledge of core machine learning concepts and common libraries (e.g., pandas, scikit-learn)
Demonstrated experience with BI data visualization tools (Qlik preferred)
Data analysis, presentation, and visualization experience
Strong communication skills required
Ability to work alone or in a team as required
Bachelor's degree in Statistics, Computer Science, Mathematics, Engineering, Economics, or a related field is preferred
English proficiency (written and spoken, level B2)
Exposure to ML deployment, MLOps, or cloud platforms (AWS, GCP, Azure)
Familiarity with generative AI / LLMs and their applied use cases
Experience working with large or unstructured datasets

Conditions

Permanent contract
Full-time working hours: 40h/week, from Monday to Friday
Hybrid setting with flexible working policy and great offices in Europe
Attractive compensation including equity in the company
Equity in the company (stock options plan)
A seat on a scale-up with skyrocketing growth
Development of entrepreneurial spirit with the chance to implement real-impact business decisions
Multicultural and international team
Collaborative and smart environment to work and learn

PythonRpandasscikit-learnMachine LearningQlikBI Data Visualizationtravel / traveltechMLOpsAWSGCP

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