Data Scientist

📋 Description

• Maintain and enhance country-level consumption forecasts
• Develop sector-level gas consumption forecasts aligned to power forecasts
• Apply ML or statistical methods to solve complex problems
• Use the MLOps platform to run R&D and expand forecasts geographically
• Discuss roadmap with the product team
• Collaborate with engineers to integrate model outputs into APIs and apps
• Improve model robustness, performance, and interpretability
• Contribute across the data science lifecycle from exploration to production

🎯 Requirements

• At least 2 years of DS experience deploying models into production
• Experience deploying models using MLOps platforms (Dataiku, Databricks, Sagemaker)
• Familiar with software engineering best practices
• Proven experience delivering end-to-end ML solutions with business value
• Comfortable with Git, code reviews, and Agile methodologies
• Strong command of written and spoken English

🎁 Benefits

• Hybrid work arrangement
• Global team with 850+ experts from 69 countries
• Impactful work across energy, commodities and maritime sectors
• Collaborative, supportive culture
• Inclusive and diverse work environment