We are partnering with our client, an international company specialized in Artificial Intelligence and Decision Intelligence, building AI infrastructure, products, and systems used by large enterprises to make business decisions at scale.
They are looking for professionals capable of understanding data, business, and product in an integrated way, combining analytical thinking with a strong product mindset.
The company is a B2B SaaS organization founded in 2020 in Munich, with more than 300 employees and offices in Munich, Barcelona, Madrid, and New York.
The project focuses on a next‑generation Data & Analytics platform, an AI‑driven solution that replaces traditional dashboards with real‑time, automated recommendations, helping organizations move from reporting to decision intelligence.
Their solutions support key business areas such as Finance, Supply Chain, R&D, and Sales & Marketing.
Within the Domains team, you will develop AI‑powered solutions that improve decision‑making across four strategic areas: Finance (forecasting and planning), Manufacturing & Supply Chain (optimization and demand planning), R&D (clinical trials and innovation), and transversal domains such as procurement and people analytics. The goal is to build scalable AI systems that generate clear, actionable insights with real business impact.
Core Technical Stack
* Python + SQL (mandatory)
* Strong experience in machine learning and statistical modeling
* AWS (nice to have): Lambda, Step Functions
* Time Series Forecasting – ARIMA, Exponential Smoothing (ETS), LSTM / Deep Learning approaches, XGBoost applied to forecasting use cases
Machine Learning Applications
* Machine learning applied to demand and supply chain optimization
* Data pipelines and production‑grade models
* MLOps (model deployment, monitoring, and lifecycle management)
* Generative AI applied to forecasting and decision‑making use cases
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