CareerPlan

Data Scientist - Senior Manager - Energy & Commodities

Berlin, GermanyFull-time2026-09-01 → 2026-10-22

Core

Senior data scientist leading AI/ML strategy and production deployment for clients in Energy, Commodities, and Financial Services.

Role type

Senior Manager, hands-on IC data scientist

Builds

Production AI/ML models, pipelines, and infrastructure for enterprise clients

Domain

Energy & Commodities, Financial Services, Generative AI

Deliverable

production ML models

Required skills

Python, TensorFlow, PyTorch, Keras, LLMs, RAG systems, vector databases, MLOps, Docker, Kubernetes, CI/CD, feature stores, cloud AI platforms

Preferred skills

Consulting background, Energy/Commodities/Financial Services sector experience, advanced degree in data science/engineering/business

Technologies

Python, TensorFlow, PyTorch, Keras, NumPy, Pandas, scikit-learn, Docker, Kubernetes, vector databases

Responsibilities

Partner with product and business teams to frame problems for AI/ML value; Evaluate and select AI approaches (LLMs, RAG, classical ML); Design and build ML pipelines from prototyping to production; Develop, fine-tune, and optimize AI models; Set up and maintain AI/ML infrastructure using MLOps best practices; Build data ingestion, transformation, and feature engineering pipelines; Create APIs and tools to operationalize AI insights; Research and recommend emerging AI capabilities.

Seniority

Senior, hands-on IC with management responsibilities