We’re Hiring

Data Scientist, April 2021

PolyChord is a fast-growing Cambridge-based data science company (also with a small London office) with genuinely unique cutting-edge tools, a spinout from the Cambridge University Astrophysics department in 2017. We have just been awarded our second Innovate UK grant and seek to employ a data scientist to work either from home, or as things develop (according to personal preferences in this respect) in central Cambridge at The Hauser Centre which is part of IdeaSpace in the midst of Cambridge’s thriving new technology sector. Ideal candidates would have a PhD in Physics, Astrophysics or Computer Science and a desire to work alongside some of Britain’s most talented data scientists, with a new technology.

We envisage working initially starting on our first Innovate UK project and also encompassing our second one. In the first Innovate UK project we are working alongside National Research Council of Canada, Queen’s University Belfast (Professor Seamus Fanning) and Canadian University of Guelph (Professor Lawrence Goodridge), using PolyChord’s abilities to better predict the likelihood of pathogens occurring in foods and food storage. This project has blossomed recently and has led to interesting new areas of investigation which the commercial world highly values. In the second project we are using PolyChord’s abilities to more fully map challenging and complex data landscapes to interrogate infrastructure through sensor data. In this project we “map the data landscape” then move forward to predictive maintenance for which PolyChord is well suited. This is an exciting project with massive potential.

On a more general note, we get invited to a lot of Networking events across a wide-ranging span of different applied technologies, including clean and renewable energy, connected and autonomous vehicles, Satellite based Earth Observation; and Life Sciences. Prospective candidates should feel comfortable with (and hopefully enjoy) attending such events, engaging with potential collaborating organisations and helping to explore opportunities – obviously only after a considerable period of initial familiarisation. Also, please note, we won’t make you do this if you don’t enjoy it!


  • Analyse data in Innovate UK funded FoodScan project using core PolyChord tool working alongside leading data scientist PolyChord Chief Technical Officer Dr Will Handley
  • Analyse data in second Innovate UK funded WM5G project using PolyChord tool as above but this time, mapping complex data landscapes and producing predictive maintenance outputs
  • Work to develop integrations of PolyChord technology – using python
  • Collaborate with field testing team to develop analytical prototypes through to production
  • Assist with creation of web based interface
  • Contribute to a series of other interesting and challenging data science in different commercial use cases.


  • PhD (Physics, astrophysics, Statistics, Mathematics, Computer Science, etc.) • Possibly 1 – 2 years of experience in quantitative analytics or data modelling 
  • Some understanding of (and interest in) predictive modelling, machine learning, possibly some knowledge of clustering and classification techniques, and algorithms, ideally some knowledge of Bayesian model fitting
  • Fluency in some programming languages eg (Python, C,C++, Java, SQL) 
  • Familiarity with Big Data frameworks and knowledge of issues relating to dimensionality and variables in modelling, possibly some knowledge of visualization tools
  • A genuine interest and enthusiasm for Bayesian data science and interest in cutting-edge approach to solving problems in mathematics /physics and a desire to bring Machine Learning forward in new and more effective ways.

Salary depending on qualifications and experience

Please apply through linkedin:

We’re hiring

This position is now taken.

We will be hiring Data Scientists again shortly – and are also currently looking to expand our business and commercial team.

Research Associate (Fixed Term)


Applications are invited for a postdoctoral position investigating “Training Neural Networks using Nested Sampling with applications to Facial Recognition” at the Cavendish Laboratory (Department of Physics, University of Cambridge).


The successful candidate will join the Astrophysics research group, undertaking work led by Anthony Lasenby, Will Handley and Mike Hobson, and will apply the latest developments in Nested Sampling (encapsulated in PolyChord 2.0) to the research problem of training Bayesian Neural Networks (BNN). As a test case they will use a state-of-the-art facial recognition training corpus, provided by AnyVision, a world leader in machine learning, with interaction facilitated by PolyChord Ltd.


The post is for one year, and is ideal for a recently graduated PhD student who wishes to further their skills in machine learning and interaction with industry. Some background in MCMC techniques and machine learning is essential, with experience in using nested sampling packages and techniques (PolyChord, MultiNest, DyNesty, DNest) highly desirable. Applications will be reviewed after the closing date and interviews conducted Mid August 2018.


The Astrophysics group has a long history of developing machine learning and nested sampling techniques and applying them in the context of Cosmology and Astrophysics, creating tools such as SkyNet, MultiNest and PolyChord. These techniques have also been applied to particle physics via GAMBIT and to geophysics problems as part of a Shell-funded postdoctoral scheme. This grant aims to transfer nested sampling techniques to the machine learning community as a whole.


Applications will be reviewed after the closing date and interviews conducted Mid August 2018. The candidate would ideally start as soon as possible after October 1st 2018. The post will be a fixed term appointment for 1 year in the first instance. The work will be funded by the STFC Impact Acceleration Account 2018 programme, provided by Cambridge Enterprise.


Fixed-term: The funds for this post are available for 12 months in the first instance.


To apply online for this vacancy, please click on Apply This will route you to the University’s Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.  Successful candidates who have not been awarded their PhD by the appointment date will be appointed as a Research Assistant at Grade 5 (£25,728 – £29,799 per annum). Upon award of the PhD the individual will be promoted to Research Associate, Grade 7 (£31,604 – £38,833 per annum).  Informal enquiries can be addressed via email to  info@polychord.io  Please quote reference KA16016 on your application and in any correspondence about this vacancy.  The University values diversity and is committed to equality of opportunity.  The University has a responsibility to ensure that all employees are eligible to live and work in the UK.