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Data science manager (remote) (o castro)

O Castro (Provincia de Lugo)
Innoit Consulting
Publicada el 8 junio
Descripción

Senior Data Scientist / Machine Learning Engineer (GenAI, NLP & Risk Analytics)
Barcelona · Hybrid (2 days/week on-site in Viladecans) · Senior (+7 years)

We are looking for a Senior Data Scientist / Machine Learning Engineer to join a complex business environment at a leading international airline group. You will design, develop and deploy advanced ML and AI solutions that support data-driven decision-making across business areas, working cross-functionally with Product, Engineering, Business and Analytics teams. This role is especially suited to someone with experience in financial services, digital products, risk analytics, document processing, forecasting and operational optimisation.

Build and maintain scalable data pipelines using Python, SQL, PySpark, Airflow, Databricks and cloud services.
• Apply MLOps best practices: model monitoring, versioning, reproducibility, CI/CD and deployment workflows.
• Create dashboards and reporting to track model performance and business KPIs.
• Mentor junior data scientists and promote best practices.

Advanced Python, SQL and PySpark.
• Scikit-learn, TensorFlow and PyTorch.
• Large-scale data environments: Databricks, Airflow, AWS or Azure.
• MLOps: MLflow, Git, CI/CD and model monitoring.
• 7 years as Data Scientist, ML Engineer or Applied Scientist.
• Fluent English.
Airline, travel, transport, logistics, banking, fintech or large-scale digital platforms.
• AWS (SageMaker, S3, EMR, EC2, Textract), Azure AI services, Power BI.

Career plan with €1,000 annual training budget
• Private health insurance 100% covered
• ️ Online language classes
• Develop your IT talent. We have one of the largest IT communities in Barcelona and Madrid, thanks to the many in-person events and webinars we organize.
We've told you about it — but it's better to experience it first-hand.
We invite people from all backgrounds and experiences to apply, and we especially value applications from women and other groups underrepresented in the tech sector.

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