Senior Operations Researcher


Senior Operations Researcher

Location: Cambridge

Who we are

Origami Energy was founded in 2013 with a vision to make energy cheaper, greener and more secure. As the world strives to achieve increasingly stringent sustainable energy targets, we believe an intelligent, coordinated network of diverse assets delivers the most cost-effective, secure and flexible solution. Energy flexibility (ability of an energy asset to turn up/down or on/off) is becoming increasingly valuable to help balance electricity systems around the world, as increasing amounts of inflexible and intermittent renewable generation is added to the energy mix.

We have developed intelligent, versatile and secure technology to optimally generate value from this flexibility, in real-time. This technology enables flexibility providers to generate better financial returns from their assets and flexibility users to buy, sell and trade better.

We provide technology through strategic partnership agreements with energy suppliers and traders. We also provide fully funded, turnkey energy storage solutions designed to reduce energy bills, generate new income streams and enhance energy security.  Our technology is architected to deliver global solutions and is already tested and commercially proven in the highly deregulated UK energy market.

What you’ll get to do

We are currently looking to hire an Operations Research and Data Science Lead.

Origami Energy are forming a small team of highly analytical, intellectually adventurous and commercially curious people responsible for shaping and demonstrating techniques which maximise the value Origami can create and share. These market-leading techniques will be central to our technology platform and will inform our business strategy.

Origami is developing a scalable technology platform which will manage and maximise the value of thousands of flexible distributed power assets. The platform will derive its core capabilities from effective data engineering, machine learning, design and deployment of optimisation algorithms. The candidate will be able to shape the direction of the platform and effectively collaborate with and influence the internal teams.

The candidate will bring the relevant experience from operations research and data science in the electricity industry.

What it’s like to work here

  • Competitive salary
  • Comprehensive benefits package including 25 days holiday (including ability to buy or sell holiday) plus bank holidays, employee assistance programme, life insurance, season ticket loan and cycle to work scheme, just to name a few
  • Equity in the company
  • Friendly, open plan office environment close to tube and main line train stations
  • Flexible working hours
  • Quarterly All-Company socials and regular team socials

What we’re looking for

  • MSc or PhD in one or more of the following: Maths, Physics, Computer Science, Electrical Engineering, Operational Research
  • Demonstrated Operations Research experience – design and deployment of deterministic and stochastic optimisation algorithms and systems in the electricity industry. Such experience around smart grids and distributed energy resources is strongly preferred.
  • Strong academic record (publications, contributions to the relevant societies) around Operations Research.
  • At least five years’ experience in data science – programmatically dealing with large and “messy” data; exploratory analysis and visualization; training, testing and deploying machine learning models.
  • Proficiency in Python programming language beyond the standard data science related coding in Jupiter’s notebooks – the candidate should be capable of designing, implementing, testing and deploying production level software for data science needs.
  • Experience with the Python libraries to interface with commercially available optimisation solver engines.
  • Familiarity with software engineering best practices and collaborative tools; experience in source / version control systems such as git.
  • Knowledge of relational database systems; experience in schema design and management of relational databases with Python’s relevant libraries. Experience of NoSQL databases is a plus.

How to apply

Email us your CV and a covering letter to

Origami Energy is an equal opportunities employer, committed to staff welfare and professional development.

Origami Energy has a responsibility to ensure that all staff are eligible to live and work in the UK and if you’re invited to interview you’ll be requested to provide proof of your eligibility to work.

If you apply for this role Origami Energy Ltd will hold and use your personal data in accordance with the Origami Energy Candidate Privacy Notice which is available using the link here.

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