Cambridge, UK

Principal Research Scientist

The Opportunity

As a Principal Research Scientist, you will help us to achieve our goals and deliver success on behalf of our customers by researching and prototyping advanced statistical models, algorithms, and data workflows that improve Featurespace analytical products. You will help to build the external profile of Featurespace’s R&D and innovation programmes though academic and industry publications, events, and open-source contributions. Whilst also engaging stakeholders across the business to help identify analytical problems that Featurespace would benefit from solving.

This is a hybrid role based in our Cambridge office, so you will ideally be comfortable coming into the office once or twice a week. If you’re interested in the role but require more flexibility, please speak to us!

Day to Day

  • Create fundamentally new analytical methodologies of relevance to the business
  • Pioneer research into entirely new analytical tasks with little supervision, providing credible roadmaps to production
  • Publish regular academic papers on relevant themes
  • Lead working groups from across the business to identify and solve difficult technical challenges
  • Impact and influence technical work across the company
  • Interact closely with other teams to ensure releasable prototypes or publications
  • Mentor more junior team members, share expertise and provide support when needed
  • Contribute to the continuous improvement of team processes and shared workflows
  • Break work into appropriately sized tickets with clear requirements and definitions of completion
  • Build, maintain and adapt software used for research work across the Innovation Lab
  • Scope and design prototypes to demonstrate analytical innovations
  • Champion software engineering best practices and processes across the Innovation Lab
  • Identify and manage technical debt to improve pipeline quality
  • Review code to impart knowledge and good practice to others
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Featurespace named as one of the winners of the International PETs challenge

Take a look at the incredible work our team achieved! 

About you

Must haves:

  • Academic background at PhD or higher in a relevant discipline, e.g. Computer Science, Mathematics, Statistics, Physics, or Engineering
  • Research experience with publications advancing theoretical knowledge in Machine Learning
  • Be a natural teacher, who effectively engages people at all levels
  • Experience in using Python, Java, C++ or another major programming language for algorithm development
  • Ability to manage and prioritise personal workload
  • Ability to cast diverse business context as a mathematical problem

Great to haves:

  • An established academic profile in a relevant field of machine learning
  • Experience with deep learning frameworks such as TensorFlow, PyTorch
  • Knowledge of statistical privacy-enhancing technologies, such as federated learning or differential privacy
  • Experience with modern IDEs, version control system (git)
  • Experience in working with large data sets
  • Experience with Bayesian inference and other statistical methods

Equal Opportunities

Here at Featurespace we are committed to being a place of equality, inclusion and respect to provide a safe environment for you to bring your authentic self to work. We know that we gain as much strength from our differences as we do our similarities. We value diversity and are dedicated to listening and learning from each other to build and maintain a positive and productive culture. We appreciate this will be an ever-evolving focus for the business to ensure everyone feels supported and has a sense of belonging.

How to apply

If you think you’re a good fit for the role above, we would love to hear from you.

Fill out the short application form, upload your CV and one of the team will get back to you.

If you have any questions or queries regarding this role, or life at Featurespace, please contact [email protected]

Featurespace Job Application Privacy Notice

Featurespace Ltd., is committed to comply with the General Data Protection Legislation and any implementing legislation (the “Data Protection Legislation”) and will process your Personal Data in accordance with the Data Protection Legislation and information security legislation. Any capitalised terms used in this Privacy Notice shall be given the same definition as in the Data Protection Legislation.

This Privacy Notice sets out the basis on which Featurespace Ltd will process Personal Data relating to job applicants.

The Data Controller is Featurespace Ltd., 140 Cambridge Science Park, Milton Road, Cambridge, CB4 0GF, United Kingdom.

Data refers to both Personal Data and Special Categories of Data. Your job application and the Personal Data held within it will be processed to assess your viability for the stated role. We may also process any information that you provide about your health, for the sole purpose of assessing whether any adjustments may need to be made to the recruitment process to accommodate you . If your application is unsuccessful, Featurespace will retain your Data for 24 months after the end of the recruitment process. Your Personal Data is processed in accordance with our legitimate interests of making sound recruitment decisions. You are under no obligation to provide us with your Personal Data. However without this, we cannot assess your job application. We will only process information about your health for the purpose of making reasonable adjustments to the recruitment process (if applicable), in accordance with our legal obligations. You have the following rights in relation to the processing of your Data: The right to be informed about how your Data is processed. You have the right to object to the processing of your Data based on our legitimate interests as outlined above. The right of access, to your Data and supplementary information relating to our use of your Data. In certain circumstances, we reserve the right to charge you for exercising this right. The right to rectification, if your Data is inaccurate or incomplete. In certain circumstances, the right to erasure, request the deletion of, or removal of, your Data. In certain circumstances, the right to restrict processing, block any further processing of your Data. We shall respond to any request made by you without delay and in any case within a month of your request. The right to complain to the Information Commissioner’s Office if you believe that your data protection/privacy rights have been breached. Your application will be submitted and stored on an application database (Greenhouse). Access to your Data on Greenhouse is limited to the relevant persons for your application- our internal recruiters, the hiring manager and interviewer(s). Your CV may be printed and shown to consulted decision makers, any physical copies will be securely and confidentially destroyed after a decision has been made on your application. Your CV is transferred to a third country, outside of the EEA, when it is processed by Greenhouse. Greenhouse meet the technical and organisational data security measures outlined in the GDPR Article 32, and are SOC2 Type II certified. We do not envisage that any decision will be taken about your application using automated means.