We are a solid international company with strong ambitions and great expertise. With a focus on sustainability , on a daily basis we support companies enabling them to improve their travel management through our constantly evolving services and solutions, always characterized by our tech attitude and smart and innovative processes.
Reliability, Kind collaboration, and communication are the core values of our Solution Culture.
If you like challenges and would love to be part of one of the fastest-growing B2B scale-ups, then BizAway is the company you have been looking for.

We are looking for a driven and enthusiastic Data Scientist (m/w/d) , who desires to contribute to the growth and success of our Data & Analytics Team.

You learn all aspects of the travel industry from Finance, Products, Sales, and Service/Operations perspectives, translating data into actionable insights and verifiable reporting, and identifying opportunities where machine learning or automation can add value.
By developing domain expertise in our industry,



you engage with Business and Strategy stakeholders to help define KPIs and metrics, including how data will be captured, shared, modeled, and leveraged across our departments.
You contribute to building the foundations of a comprehensive source of truth through data modeling, and you help prototype and operationalize data science use cases (e.g., 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
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)
Contract type: Perma

📌 Data scientist (Barcelona)
🏢 Bizaway S.R.L. (Es)
📍 Barcelona