Software Developer experience in simulation modelling

We’re building a proof-of-concept engine that predicts the ROI of automating manufacturing

processes using simulation and statistical modelling.

Must-Have Skills

• Strong experience in simulation modelling, ideally Discrete Event Simulation (DES).

• Ability to build Monte Carlo–style simulation engines at scale.

• Solid understanding of statistical distributions and their application in scenario testing.

• Experience with sensitivity analysis to identify risks and drivers.

• Ability to produce transparent, well-documented, explainable code.

Nice to Have

• Familiarity with ERP/manufacturing process data.

• Experience with risk modelling or uncertainty quantification.

• Knowledge of manufacturing operations.

• Experience scaling simulations (parallelization, cloud).

Tech Stack

• Language flexible, but Python strongly preferred (SimPy, SALib, NumPy, SciPy, PyMC, etc.).

• Integration with our PHP product will come later (e.g. via API).

Deliverables (POC Scope)

• Simulation engine that can run multiple automation scenarios, apply distributions,

execute Monte Carlo runs, and output ranges with sensitivity results.

• Clear documentation of modelling assumptions, code structure, and extension paths.

Candidates will be required to sign an NDA before receiving further details