Senior Data Scientist, District Energy Optimization

Danfoss; Kolding; On-site; DKK 1,100,000 - 1,500,000; Full time

Job summary

Danfoss is seeking a Senior Data Scientist to deepen modelling and optimization for district energy systems in Denmark. You will work on thermo-hydraulic network simulations, calibrate models with live data, and advance production optimization using MILP across grid-scale utilities.

You will communicate complex technical solutions to customers, collaborate with a cross-European team, and help shape decarbonization through physics-based and data-driven methods. Copenhagen or Kolding office-based.

Qualifications

• Hold a Master’s degree or higher in a relevant quantitative field (mathematics, machine learning, statistics, physics, engineering, etc.)
• PhD degree is a benefit, but not a strict requirement
• Several years of experience applying data modelling to complex physical or industrial systems
• Excellent command of Python as this is used as our main programming tool
• Solid knowledge of district energy and thermo-hydraulic simulation — experience with physical modelling of flow, pressure and temperature in fluid networks is central to this role
• Familiarity with numerical methods for simulating dynamic physical systems, and calibrating such models with measurement data
• Experience in solving complex optimisation problems, for example with Mixed-Integer Linear Programming (MILP), is an advantage
• Experience with C# and C++ is appreciated, as these are used for some of our legacy solutions
• Fluent in English
• Willing to apply and learn about advanced methodology in the district energy field
• Interested in blending physical models of heating and cooling systems with data‑driven methods

Responsibilities

• Develop and extend thermo-hydraulic simulation tools for district energy networks with physical modelling
• Calibrate and validate models against live network measurements
• Advance production optimisation solutions using MILP and related techniques
• Connect layers into system-level optimisation across production, network and demand
• Build data pipelines and collaborate with the data engineering platform team
• Own problems and communicate solutions to customers and non-technical partners

Skills

Python

MILP

C#

C++

District energy

English

Education

Master’s degree or higher in a relevant quantitative field

PhD degree is a benefit

Tools

MATLAB

Job description

Danfoss is seeking a Senior Data Scientist to deepen modelling and optimization for district energy systems in Denmark. You will work on thermo-hydraulic network simulations, calibrate models with live data, and advance production optimization using MILP across grid-scale utilities.

You will communicate complex technical solutions to customers, collaborate with a cross-European team, and help shape decarbonization through physics-based and data-driven methods. Copenhagen or Kolding office-based.