Operations Research Engineer — Optimisation & Analytics

Michael Page; Singapore; On-site; SGD 89,000 - 112,000; Full time

Benefits offered by this job

1 Year extendable contract

Medical benefits included

Temporary position offering valuable行业

Job summary

Michael Page is seeking an Operations Research Specialist in Singapore to develop and implement optimisation models to enhance operational processes. You will analyse data, identify trends, and collaborate with cross-functional teams to address challenges using advanced algorithms and simulations.

The role requires hands-on experience with modelling and solver tools such as Gurobi, CPLEX, FICO Xpress, OR-Tools, Pyomo, JuMP, and AMPL, plus strong knowledge of LP and MILP methods.

Qualifications

• Proficiency in data analysis, modelling and simulation tools is required.
• Hands-on experience with optimisation modelling and solver technologies (Gurobi, CPLEX, FICO Xpress, OR-Tools, Pyomo, JuMP, AMPL).
• Strong knowledge of linear programming, mixed-integer programming and discrete optimisation methods.

Responsibilities

• Develop and implement optimisation models to improve operational processes.
• Analyse data to identify trends and recommend actionable solutions.
• Collaborate with cross-functional teams to address operational challenges.
• Apply advanced algorithms and tools to support decision-making processes.
• Conduct simulations to test and validate proposed solutions.
• Prepare detailed reports and present findings to stakeholders.
• Ensure compliance with industry standards and regulations in all projects.
• Maintain and update technical documentation as required.

Skills

Data analysis

Modelling

Simulation tools

Education

Operations research / Engineering degree

Tools

Gurobi

CPLEX

FICO Xpress

OR-Tools

Pyomo

JuMP

AMPL

Job description

Michael Page is seeking an Operations Research Specialist in Singapore to develop and implement optimisation models to enhance operational processes. You will analyse data, identify trends, and collaborate with cross-functional teams to address challenges using advanced algorithms and simulations.

The role requires hands-on experience with modelling and solver tools such as Gurobi, CPLEX, FICO Xpress, OR-Tools, Pyomo, JuMP, and AMPL, plus strong knowledge of LP and MILP methods.