Simulation Optimisation Consultant (AnyLogic)
- Role
- Data Science
- Employment
- Full-time
- Company size
- Mid-size
Open to GR only. Set where you work from to check your eligibility.
No BS summary
Hands-on AnyLogic simulation optimisation specialist with Java integration skills. Needs commercial AnyLogic experience, discrete-event simulation, operational/manufacturing simulation environments, optimisation methods, and database/API integration. Hybrid in Athens or remote from EEA/Switzerland/UK up to 6 weeks per year.
Core skills
Required skills
Are you passionate about AI? 🤖 At Satori Analytics, we aim to change the world one algorithm at a time by bringing clarity to global brands through Data & AI. From cloud-based ecosystems for fintech to predictive models for airlines, our cutting-edge solutions cover the entire data lifecycle—from ingestion to AI applications. As a fast-growing scale-up, our team of 100+ tech specialists—including Data Engineers, Data Scientists, and more—delivers innovative analytics solutions across industries like FMCG, retail, manufacturing and FSI. Join us as we lead the data revolution in South-Eastern Europe and beyond! Ready to move plant simulation from manual scenario analysis to automated, simulation-based optimisation for a global leader in aluminium manufacturing? We're looking for a hands-on specialist who can bridge AnyLogic simulation, Java-based software engineering, optimisation methods, and real operational decision-making — taking a modular optimisation framework from live connection and validation all the way to expansion and managed operational support. What Your Day Might Look Like: Connect the framework: Integrate a modular simulation optimisation framework with production AnyLogic models, databases, APIs, and plant-data environments. Turn questions into use cases: Translate operational questions — scheduling, resource allocation, operating parameters, energy, logistics, throughput — into simulation and optimisation use cases. Build in Java: Develop and maintain Java-based components that execute scenarios, marshal inputs, parse outputs, and enable reliable optimisation runs. Make results credible: Define and validate simulation input/output data contracts and business KPIs, ensuring recommendations are reproducible and usable by operational stakeholders. Optimise smartly: Apply the right optimisation approaches for real-valued, scheduling, selection, and multi-objective problems — and design efficient experiments for long-running simulations. Prove the value: Validate recommendations against live models, quantify operational benefit, and support the transition from prototype to a repeatable operational process. Operationalise it: Contribute to dashboards, recurring study scheduling, workflow integration, technical documentation, and knowledge transfer. Collaborate closely: Work with client stakeholders and the wider delivery team to prioritise delivery, resolve issues, and maintain technical quality. Requirements Your Superpowers🚀: Demonstrable hands-on commercial experience with AnyLogic — able to develop, adapt, integrate, and troubleshoot simulation models. Bonus point if you have Java development experience, including integration-oriented or production-quality software engineering. Experience in discrete-event simulation; exposure to agent-based modelling is highly valuable. Experience in manufacturing, process, plant, logistics, supply-chain, or other operational simulation environments. Practical understanding of optimisation, operations research, simulation-based decision support, digital twins, or related analytical methods. Experience integrating software with databases, APIs, structured data inputs/outputs, and production data environments. Ability to communicate technical results clearly in terms of operational decisions, constraints, and measurable outcomes. Benefits Perks on Perks: Competitive salary and hybrid work model – come hang out in our Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year). Training budget to level up your skills from the top tech partners in the market (Microsoft, AWS, Salesforce, Databricks etc.) – whether it’s certifications or courses, we’ve got you covered. Private insurance, top-tier tech gear, and the chance to work with a stellar crew. Ready to create some data magic with us? Hit that apply button and let’s get started.
What you'll do
- Connect the framework: Integrate a modular simulation optimisation framework with production AnyLogic models, databases, APIs, and plant-data environments.
- Turn questions into use cases: Translate operational questions — scheduling, resource allocation, operating parameters, energy, logistics, throughput — into simulation and optimisation use cases.
- Build in Java: Develop and maintain Java-based components that execute scenarios, marshal inputs, parse outputs, and enable reliable optimisation runs.
- Make results credible: Define and validate simulation input/output data contracts and business KPIs, ensuring recommendations are reproducible and usable by operational stakeholders.
- Optimise smartly: Apply the right optimisation approaches for real-valued, scheduling, selection, and multi-objective problems — and design efficient experiments for long-running simulations.
- Prove the value: Validate recommendations against live models, quantify operational benefit, and support the transition from prototype to a repeatable operational process.
- Operationalise it: Contribute to dashboards, recurring study scheduling, workflow integration, technical documentation, and knowledge transfer.
- Collaborate closely: Work with client stakeholders and the wider delivery team to prioritise delivery, resolve issues, and maintain technical quality.
What they require
- Demonstrable hands-on commercial experience with AnyLogic — able to develop, adapt, integrate, and troubleshoot simulation models.
- Preferred: Java development experience, including integration-oriented or production-quality software engineering.
- Experience in discrete-event simulation; exposure to agent-based modelling is highly valuable.
- Experience in manufacturing, process, plant, logistics, supply-chain, or other operational simulation environments.
- Practical understanding of optimisation, operations research, simulation-based decision support, digital twins, or related analytical methods.
- Experience integrating software with databases, APIs, structured data inputs/outputs, and production data environments.
- Ability to communicate technical results clearly in terms of operational decisions, constraints, and measurable outcomes.
Benefits
- Competitive salary and hybrid work model – come hang out in our Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year).
- Training budget to level up your skills from the top tech partners in the market (Microsoft, AWS, Salesforce, Databricks etc.) – whether it’s certifications or courses, we’ve got you covered.
- Private insurance, top-tier tech gear, and the chance to work with a stellar crew.
Satori Analytics brings clarity to global brands through Data & AI, delivering analytics solutions across the entire data lifecycle, from ingestion to AI applications.