Job description
At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.
Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 600 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.
We are seeking a motivated and detail-oriented Operations Research (OR) Engineer to join
our team. In this role, you will contribute to the design, modelling, and implementation of
optimisation, simulation, and analytics solutions to drive better business decisions. You will work closely with cross-functional teams to solve complex problems and drive operational efficiency
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.
Skills and Experience:
- 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.
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.
We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us?
We make things happen
We act decisively and with purpose, going the extra mile.
We build together
We foster relationships and develop creative solutions to address market challenges.
We are here to help
We are accessible and supportive to colleagues and clients with a friendly approach.
Our People Pledge
Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.
Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.
By applying, I confirm that I have read and accept the Staff Privacy Notice
