Senior Data Scientist – Builder

About this role

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Skills you'll use

What you'll do

• Own data science products end-to-end — from framing an ambiguous business problem to shipping and monitoring a production model.
• Build and deploy applied agentic automation solutions that augment or replace manual analytical/operational workflows.
• Guide teams on the right technical approach — modeling technique, architecture, and productionization strategy — without taking on formal people management.
• Partner with business stakeholders to translate complex problems into scalable, measurable data science and automation solutions.
• Continuously raise the bar on experimentation rigor, reproducibility, and production discipline across the team.

Who can apply

• Core Technical Skills
• 6–10 years of hands-on experience in Data Science / Machine Learning, with a proven track record of building, deploying, and maintaining ML solutions in production — not solely prototyping or advisory work.
• Strong, demonstrable hands-on experience with Databricks is essential for this role — this is a non-negotiable requirement, not a nice-to-have.
• At least 1 year of hands-on experience building applied agentic automation solutions (e.g., LLM agents, agentic workflows, tool-using AI systems) that have been deployed or piloted in a real business context.
• Strong expertise in Python, SQL, and at least one ML framework (TensorFlow, PyTorch, or scikit-learn).
• Hands-on experience with Apache Spark (PySpark) and cloud-native data platforms on AWS.
• Strong understanding of the end-to-end ML lifecycle: experimentation, validation, deployment, and monitoring at scale.
• Strong software engineering fundamentals including Git, CI/CD, testing, and code quality.
• Excellent communication skills with the ability to influence stakeholders, mentor peers, and drive technical discussions — without requiring formal people-management experience.

Perks & benefits

About Trafigura

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