Data Scientist - Deep Learning Forecasting

October 27, 2026

Senior

Warsaw, Poland

Description

Fetcherr builds a proprietary AI-powered Market Model that delivers granular demand predictions and real-time decision intelligence for commercial teams, claiming 96% forecast accuracy and an average 7% profit uplift for partners such as Delta, Virgin Atlantic and Azul. The Large Market Modeling team is the engine behind this pricing intelligence: it builds and trains the production demand models themselves. Fetcherr is hiring an experienced Data Scientist to develop econometric and deep learning forecasting models and to bring them to production together with product, data engineering, MLOps and Platform teams. The position is full-time and based in Warsaw, Poland.

Responsibilities

Develop and implement state-of-the-art econometric and machine learning models for demand forecasting
Conduct research and experimentation to evaluate novel approaches that improve accuracy, robustness and scalability
Collaborate with product, data engineering, MLOps and Platform teams to deploy ML systems in production
Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives

Requirements

5+ years of hands-on experience in data science and machine learning with a proven record of turning modeling into business outcomes
Proficiency in Python and its ML/data stack such as PyTorch or TensorFlow, Pandas, NumPy and Scikit-learn
Expertise in time-series forecasting, ideally Deep Learning based, preferably in demand prediction or related areas
Hands-on experience with feature engineering, feature importance testing and explainability
Master's or PhD in Computer Science, Machine Learning, Statistics, Engineering or a relevant field
Solid understanding of ML production workflows: versioning, testing, reproducibility and deployment
Excellent communication and collaboration skills for working with cross-functional teams