Is problem solving your passion? Do you want to mathematically model real-world optimisation problems, implement solutions and make an impact? We have an exciting new opportunity for an Operations Research scientist to join our Data Science team permanently in Krakow.
Ocado Technology is powering the future of online retail through disruptive innovation. Here at Ocado Technology we architect and build the ground-breaking, game-changing technology solutions that power the success of some of the world’s most forward-thinking retailers.
What will you do?
As an Operations Research Scientist you will work closely with other OR scientists, product managers, and software engineers in the Logistics & Delivery department, developing optimisation algorithms to solve real world problems and having a real impact on the operational performance of the company and its clients.
You will be encouraged to research and seek out innovative solutions to solve these complex optimisation problems, and to implement, and test prototype solution approaches.
Communication is key; you will be in constant contact with business stakeholders and will need to work with developers both within the team and in other technology teams to ensure that your solutions are properly productionised and can be supported.
Who is the team?
The Logistics & Delivery department at Ocado Technology consists of OR scientists, data scientists, product analysts, software engineers and is split between our head office in Hatfield, England and our development centre in Krakow, Poland. They are responsible for the systems which enable “final mile” delivery of groceries by our clients, with OR scientists focused on the optimisation challenges in this space - not least the vehicle routing problem.
Our data is stored in Google BigQuery and we work primarily in Java.
What are we looking for?
We are looking for a passionate Operations Research Scientist to join our group. We see the following as ‘must haves’:
- Experience in modelling and solving optimisation problems (using exact or heuristic methods)
- Demonstrated computer programming skills in Java, Python or similar
- Passionate problem solver with quantitative mind and eagerness to learn
Having these will make you stand out from the crowd:
- Practical work experience modelling and solving optimisation problems
- A strong academic record including an MSc. or PhD in Operations Research, Computer Science, Mathematics or related disciplines from a top-ranked university
- Experience with optimisation solver software (e.g. IBM CPLEX, Gurobi)
- Familiarity with optimisation problems arising in supply chain
- Familiarity with linear and mixed integer programming
- Familiarity with optimisation heuristic methods e.g. Local Search, Genetic Algorithms, Ant Colony optimisation etc.
- Familiarity with Graph Theory
- Familiarity with simulation modelling and tools
What can we offer you?
- Permanent Contract
- Multi-Sport Card
- Medical Insurance
- Life assurance
- Lunch Vouchers
- 30 days “Work for anywhere in the world” policy
- Training and Development opportunities
If you think you have what it takes to make a difference, please submit your application below.
#LI-HYBRID #LI-OT #LI-KP1
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