Cambridge, UK

Research Scientist - Deep Learning

The Opportunity

At Featurespace, we invest heavily in R&D to ensure our models remain the best in the industry. We’re proud to have been recognised not only with several awards but also to have been met with an enthusiastic reception in the market place.

Featurespace are looking for a Research Scientist – Deep Learning to join our Deep Learning team based in our Cambridge office. You will join a diverse team of researchers, with a variety of backgrounds, that enjoy sharing new ideas in a supportive and collaborative environment.

In your role as Research Scientist – Deep Learning,  you will be responsible for researching and prototyping advanced statistical models, algorithms and data workflows that improve Featurespace analytical products, and designing and supporting our deep learning technology.

We offer the chance to deliver real impact and see your work protect tens of millions of people across the world from fraud in real time.

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

Day to Day

  • Interface with stakeholders within the business to understand analytical requirements and opportunities
  • Research new machine learning algorithms and statistical techniques to solve problems in the detection and prevention of financial crime, with a special focus on deep learning
  • Contribute to the productionisation of new analytical features through prototyping, requirements setting and implementation
  • Provide research input into future analytical strategies and product development
  • Participate in the planning and review processes for work in the Deep Learning team
  • Share knowledge of analytical techniques and tooling across delivery and engineering teams
  • Create and deliver patents, publications and external talks as appropriate
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Lucy Griffin_Portrait

Process. Is that really the secret to a successful Data Science team?

Lucy leads the global Analytics department at Featurespace who combine cutting edge machine learning and deep industry expertise in risk strategy to fight fraud and financial crime.

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About you

Must haves:

  • Academic background at postgraduate level in a relevant discipline, e.g. Mathematics, Statistics, Computer Science, Physics, or Engineering
  • Familiarity with neural networks at a mathematical level
  • Experience in using Python, Java, C++ or another high-level programming language
  • Ability to write clean code
  • Experience using a deep learning framework such as TensorFlow or PyTorch
  • Ability to manage and prioritise personal workload


Great to haves:

  • PhD or post-doctoral research experience in a relevant discipline
  • Publications advancing theoretical knowledge in a relevant discipline
  • Familiarity with modern software engineering practices (including Git, IDEs, testing and code review)
  • Familiarity with statistical reasoning
  • Experience in working with large datasets

Personal Qualities

The work is often challenging and fast paced. We are looking for someone who has the following qualities:

  • Enjoys working in a team of like-minded and intelligent people to solve complex problems
  • A focus on personal achievement and responsibilities
  • A passion to learn new skills and technologies
  • Attention to detail
  • A passion to work for one of the fastest growing fraud prevention technologies in the world
  • Enthusiasm

And most importantly, a small-company attitude: willingness to adapt to a variable role and a great can-do attitude.

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.

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