Python Engineer - Mechanistic Modelling

Infoplus Technologies UK Limited; Coventry; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Infoplus Technologies UK Limited is seeking a Senior Python Engineer to design mechanistic models and a real-time digital twin for wastewater treatment sites in Coventry. You will build physics-based simulations, integrate sensor data, and enable predictive forecasting and optimization.

The role requires collaboration with process engineers, data scientists, and operations to deliver robust, scalable Python code and to communicate complex results to non-technical stakeholders.

Qualifications

• Proven experience with mechanistic / physics-based modelling.
• Solid understanding of differential equations and numerical methods.
• Experience translating design equations and mass balances into models.
• Knowledge of wastewater processes and digital twin concepts.
• Strong Python skills and ability to build production-ready code.

Responsibilities

• Develop first-principles models of wastewater treatment processes (e.g., activated sludge kinetics, primary sedimentation).
• Translate process design equations, mass balances, and kinetics into computational models.
• Implement models of hydraulics, biological reactions, and process control systems.
• Build clean, modular Python code for simulation and optimisation with testing and documentation.
• Integrate mechanistic models into a real-time digital twin framework with sensor data.

Skills

Mechanistic modelling

Python programming

Numerical methods

Differential equations

Data integration

Model calibration

Digital twin

SCADA data handling

Simulation optimization

Tools

NumPy

SciPy

pandas

Matplotlib

Plotly

Git

Job description

Senior Python Engineer – Mechanistic Modelling

Work Location

Coventry, UK

Role type

Contract InsideIR35

Mode of working

Hybrid 3 Days/week

Duration of assignment

6 Months

The Role

Senior Python Engineer with expertise in mechanistic modelling and first-principles simulation to design and build digital twin capabilities for sewage treatment sites. This role focuses on developing physics and chemistry based models of wastewater processes (e.g. primary treatment, secondary treatment, tertiary treatment) and implementing them in robust, scalable Python code.

work closely with process engineers, data scientists, and operations teams to create high-fidelity models that enable optimization, forecasting, and operational decision support.

Your responsibilities: (Up to 10, Avoid repetition)

• Develop first-principles models of wastewater treatment processes (e.g., activated sludge kinetics, primary sedimentation).
• Translate process design equations, mass balances, and kinetics into computational models.
• Implement models of hydraulics, biological reactions, and process control systems.

Python Engineering

• Build clean, modular, and well-tested Python code for simulation and optimisation.
• Ensure code is production-ready with version control, testing, and documentation.

Digital Twin Development

• Integrate mechanistic models into a real-time digital twin framework.
• Combine sensor data (e.g., flow rates, DO, ammonia levels) with simulations.
• Enable features such as:
• Predictive forecasting
• Process optimisation

Data Integration & Calibration

• Use sensor data to calibrate and validate models.
• Implement parameter estimation and uncertainty analysis.
• Work with historians (e.g., SCADA systems) and data pipelines.
• Partner with:
• Operations Team (End User)
• Communicate complex modelling results to non-technical stakeholders.

Your Profile

Essential skills/knowledge/experience: (Up to 10, Avoid repetition)

Technical Expertise

• Proven experience with mechanistic / physics-based modelling.
• Solid understanding of:
• Differential equations and numerical methods
• Mass & energy balances

Domain Knowledge (at least one of the following)

• Environmental engineering
• Chemical/bioprocess engineering
• Process systems engineering

Tools & Libraries

• Scientific Python stack/Simulation: NumPy, SciPy, pandas
• Visualisation: Matplotlib, Plotly
• Version control: Git

Preferred Experience

• 10+ years of experience in Python , mechanistic modelling, or Digital Twin roles.
• Experience in Utilities, Water, Energy, Manufacturing, or Infrastructure sectors.
• Experience delivering Digital Twin, Asset Intelligence, Smart Operations, or IoT transformation initiatives.

Desirable skills/knowledge/experience: (As applicable)

• Experience with wastewater modelling frameworks (e.g., ASM models, STOAT)
• Knowledge of digital twin architectures
• Experience integrating ML with mechanistic models (hybrid modelling)
• Familiarity with cloud platforms (Azure/AWS) and data pipelines
• Real-time systems or industrial IoT experience

Key Attributes

• Strong problem-solving and analytical thinking
• Ability to translate real-world processes into mathematical models
• Comfortable working across disciplines (engineering + software + data)
• Attention to detail and commitment to model accuracy