Operations Research Engineer

Summary

Join Kpler, a leading provider of global trade information, as a motivated Operations Research (OR) Engineer. Contribute to the design, modeling, and implementation of optimization, simulation, and analytics solutions to enhance business decisions. Collaborate with cross-functional teams to solve complex problems and improve operational efficiency. Develop and implement mathematical models, assist in algorithm development for logistics and resource allocation, utilize software tools like Python and SQL, and analyze results to prepare reports for stakeholders. Stay updated on industry trends and communicate technical findings effectively. This role requires a Master's degree in a related field and strong analytical and problem-solving skills.

Requirements

• Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related field (required)
• Solid understanding of operations research techniques such as optimisation (linear, integer, nonlinear), simulation, graph theory, and statistical analysis
• Programming skills in Python, Java, or C++
• Experience with optimisation libraries (e.g., OR-Tools, PuLP, Gurobi, CPLEX)
• Strong analytical and problem-solving skills
• Good written and verbal communication skills in English
• Ability to work independently and collaboratively in a multinational team environment

Responsibilities

• Develop and implement mathematical models (optimisation, simulation, statistical) to support business processes and decision-making
• Assist in the development of algorithms for logistics, scheduling, inventory management, and resource allocation problems
• Use software tools like Python, SQL, OR-Tools, and similar to build and test models
• Analyse results, identify trends, and prepare detailed reports and visualisations for stakeholders
• Support the Senior OR Engineers in research, model validation, and implementation projects
• Stay updated on the latest trends, methods, and technologies in operations research and analytics
• Communicate technical findings clearly to non-technical stakeholders

Preferred Qualifications

• 1–2 years of professional experience applying operations research methods to real-world problems (academic research or industry experience)
• Familiarity with machine learning techniques is a plus
• Experience with data visualisation tools like Tableau, Streamlit, or similar