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Hybrid Operations Research Scientist Operations Research Scientist

Lifelancer  ·  nan, · Hybrid

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About the job

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 worlds most forward-thinking retailers.

The Supply Chain department at Ocado Technology consists of Operational Research Scientists, Data Scientists, Product Analysts, Software Engineers and is split between our head office in Hatfield, England and our development centre in London. We are responsible for the systems which forecast customer demand and allow stock to be brought into a network of CFCs, with OR scientists focused on the optimisation challenges in this space - ensuring that the right products are ordered ensuring good customer availability whilst controlling the amount of food waste.

Our data is stored in Google BigQuery and we work primarily in Java.

About the role:

Were not looking for a traditional data scientist. Were looking for a candidate from a strong operational research background. You will be integrated within our Software Engineering teams solving hard optimisation problems.

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 London.

What we're looking for:

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)


It would be great if you have (but not essential):

  • A Phd or a masters degree in a STEM related subject
  • 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 do I get in return:

  • 30 Day work from anywhere policy +
  • Remote working for the month of August
  • 25 days annual leave, rising to 27 days after 5 years service (plus optional holiday purchase)
  • Pension scheme (various options available including employer contribution matching up to 7%)
  • Private Medical Insurance
  • 22 weeks paid maternity leave and 6 weeks paid paternity leave (once relevant service requirements complete)
  • Train Ticket loan (interest-free)
  • Cycle to Work Scheme
  • Opportunity to participate in Share save and Buy as You Earn share schemes
  • 15% discount on Ocado.com and free delivery for all employees
  • Income Protection(can be up to 50% of salary for 3 years) and Life Assurance(3 x annual salary)
  • Share Options


Lifelancer ( https://lifelancer.com ) is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech, data science and IT domains.

Please use the below Lifelancer link for job application and quicker response.

https://lifelancer.com/jobs/view/6eaeac14805d57885d198239d1f6af41

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