AI Product Data Scientist for Agentic Analytics

Arla Group; Aarhus; Hybrid; DKK 900,000 - 1,400,000; Full time

Job summary

Arla is seeking a data science product engineer to scale AI-powered capabilities across Net Revenue Management, supporting pricing, promotions, forecasting and AI-enabled insights. You will collaborate with product owners, architects, engineers and data specialists to design robust models, deploy them in production, and establish scalable MLOps and monitoring.

The role is based in Aarhus or Gdańsk with a hybrid work model.

Qualifications

• Hands-on data science, ML, data engineering with modern AI tooling.
• Experience delivering production ML in business contexts.
• Strong statistical foundations and trusted data practices.
• Ability to translate business opportunities into scalable analytical solutions.

Responsibilities

• Build and evaluate statistical, econometric, and ML models for pricing and demand.
• Develop forecasting, pricing, and promotional effectiveness models in production.
• Implement scalable MLOps, model monitoring, and CI/CD for ML pipelines.
• Collaborate with engineers, data scientists, and commercial stakeholders.

Skills

Bayesian hierarchical models

Econometrics

Causal inference

Python

SQL

MLOps

Product mindset

Time-series forecasting

Education

MSc/PhD in Statistics, Econometrics, Data Science, Mathematics

Tools

PyMC

Stan

NumPyro

XGBoost

LightGBM

Databricks

Spark

Azure

Job description

Arla is seeking a data science product engineer to scale AI-powered capabilities across Net Revenue Management, supporting pricing, promotions, forecasting and AI-enabled insights. You will collaborate with product owners, architects, engineers and data specialists to design robust models, deploy them in production, and establish scalable MLOps and monitoring.

The role is based in Aarhus or Gdańsk with a hybrid work model.