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As a Senior Optimisation Scientist, your role will be leading the design & development of algorithms and decision support tools for a variety of optimisation problems arising from different applications and industries. You will collaborate with clients to gather problem specifications. Your work will support clients’ goals and will contribute to the success of many household brands. You will support your peers by sharing your experience, providing mentorship and guidance.
Job Responsibility:
Design and implement optimisation algorithms to solve our clients’ problems, in sectors such as transportation, logistics, or workforce scheduling.
Communicate and interact with clients. Deeply understand the client's domain, the nature of their challenges and what brings most value to them. Clearly articulate the most appropriate solution(s).
Lead technical teams in a flat-hierarchical structure. Work collaboratively in an agile, interdisciplinary team on a common goal.
Develop production-ready code and provide code reviews to your peers.
Mentor, train and support other team members on Optimisation-related topics.
Requirements:
Relevant PhD or Masters Degree with at least 10 years experience working on applied optimisation problems, at least 7 years in industry
Proficient and highly experienced in at least one of the following optimisation approaches
Mixed Integer Programming or Metaheuristic approaches
Proficient with structuring and implementing optimisation solutions
Understanding of agile concepts and ability to work in agile teams.
Experience in technical leadership and/or leading teams
Excellent written and verbal communication skills in English
Reliability and accountability
A sense of community and a collaborative mindset
Being able to provide constructive feedback and invested in the wellbeing of the team
Nice to have:
Background in transportation and logistics would be an advantage / experience working on transport and/or logistics problems would be an advantage