Data Scientist – Global Dairy Planning & Forecasting (Hybrid)

Arla Group; Aarhus; Hybrid; DKK 600,000 - 750,000; Full time

Benefits offered by this job

Hybrid working model

Competitive salary

Professional development opportunities

Job summary

Arla Group in Denmark is seeking a Data Scientist to help shape the future of milk planning. You will develop forecasting and optimization solutions using Python, SQL, Databricks, and Azure within a hybrid IT & Digital environment.

Join a collaborative team that partners with Global Planning and SAP IBP to turn data insights into actionable decisions, with opportunities for professional growth and exposure to cutting-edge analytics across Arla's global network.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics or related field.
• At least two years of experience as a Data Scientist or in a similar technical role.
• Hands-on experience with Python, SQL, Databricks and Azure-based data solutions, including data pipelines, analytics and modelling.

Responsibilities

• Develop forecasting and optimisation solutions using Python, SQL, Databricks, Azure, and MLOps.
• Support the operational performance of One Milk Balance and One Intake.
• Turn analytical insights into actionable Power BI reporting.
• Work closely with global planners to improve forecasting, planning, and decision-making.

Skills

Python

SQL

Databricks

Azure

MLOps

Power BI

Education

Bachelor’s or Master’s degree in Data Science/CS/Math

Tools

Databricks

Job description

Arla Group in Denmark is seeking a Data Scientist to help shape the future of milk planning. You will develop forecasting and optimization solutions using Python, SQL, Databricks, and Azure within a hybrid IT & Digital environment.

Join a collaborative team that partners with Global Planning and SAP IBP to turn data insights into actionable decisions, with opportunities for professional growth and exposure to cutting-edge analytics across Arla's global network.