Senior Data Scientist - Innoit Consulting (Pamplona)

Senior Data Scientist / Machine Learning Engineer (GenAI, NLP & Risk Analytics) Revise detenidamente toda la documentación de la solicitud antes de hacer clic en el botón de solicitar al final de esta descripción.Barcelona · Hybrid (2 days/week on-site in Viladecans) · Senior (+7 years) About the roleWe 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.What you will doDesign, develop and deploy ML models for forecasting, customer behaviour, risk assessment, operational efficiency and decision automation.Build GenAI and NLP solutions: document processing, text classification, information extraction, embeddings, RAG pipelines and LLM-based workflows.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.Must-have requirementsAdvanced Python, SQL and PySpark.ML frameworks: Scikit-learn, TensorFlow and PyTorch.Strong background in NLP, GenAI, LLMs, embeddings and RAG-based solutions.Large-scale data environments: Databricks, Airflow, AWS or Azure.MLOps: MLflow, Git, CI/CD and model monitoring.Predictive modelling, time-series forecasting, classification, clustering and risk modelling.+7 years as Data Scientist, ML Engineer or Applied Scientist.Fluent English.Nice to haveAirline, travel, transport, logistics, banking, fintech or large-scale digital platforms.Recommendation systems, personalisation engines or customer behaviour modelling.Document AI, automated reporting, regulatory/compliance or operational risk analytics.AWS (SageMaker, S3, EMR, EC2, Textract), Azure AI services, Power BI.What We OfferCareer plan with €1,000 annual training budget.Private health insurance 100% covered.Online language classes.Adaptable compensation with Cobee card.Free lunch on Wednesdays.xqysrnhAfter Thursdays with the team.#J-*****-Ljbffr

This role is especially suited to someone with experience in financial services, digital products, risk analytics, document processing, forecasting and operational optimisation.What you will doDesign, develop and deploy ML models for forecasting, customer behaviour, risk assessment, operational efficiency and decision automation.Build GenAI and NLP solutions: document processing, text classification, information extraction, embeddings, RAG pipelines and LLM-based workflows.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.Must-have requirementsAdvanced Python, SQL and PySpark.ML frameworks: Scikit-learn, TensorFlow and PyTorch.Strong background in NLP, GenAI, LLMs, embeddings and RAG-based solutions.Large-scale data environments: Databricks, Airflow, AWS or Azure.MLOps: MLflow, Git, CI/CD and model monitoring.Predictive modelling, time-series forecasting, classification, clustering and risk modelling. +7 years as Data Scientist, ML Engineer or Applied Scientist.Fluent English.Nice to haveAirline, travel, transport, logistics, banking, fintech or large-scale digital platforms.Recommendation systems, personalisation engines or customer behaviour modelling.Document AI, automated reporting, regulatory/compliance or operational risk analytics.AWS (SageMaker, S3, EMR, EC2, Textract), Azure AI services, Power BI.What We OfferCareer plan with €1,000 annual training budget.Private health insurance 100% covered.Online language classes.Adaptable compensation with Cobee card.Free lunch on Wednesdays.