London or Cambridge, UK

Senior Product Data Scientist

The Opportunity

We are looking for an exceptional individual to join our vibrant and growing Delivery team as an Senior Product Data Scientist, to be based in our London or Cambridge offices. This role will be involved in driving the Featurespace real-time ML platform (and its associated MLOps workflows) towards being easier, quicker, more flexible, and more expressive, for delivering analytical payloads into production.

Owning the design and acceptance of analytics features that deliver our strategic analytics priorities, you’ll also be responsible for guiding ML agile engineering teams through the successful implementation of these features

Day to Day

  • Develop user stories and define acceptance criteria for new analytical workflows and features, both within the Featurespace ML platform and in any associated offline MLOps lifecycle stages
  • Write design and requirements documentation for agile engineering teams so that they are able implement these features, consulting when questions arise, and providing feedback as features are in development
  • Consult with analytical users to understand pain-points with existing analytical workflows to create user stories for improving the analytical user experience – Act as point of contact for discussing, triaging, and prioritising internal user feature requests and bug reports
  • Stay informed of industry trends and internal research to understand how they will impact future analytical user requirements – also keeping informed of typical analytical configurations and models for our range of solutions
  • Prioritise the analytics feature roadmap and work to groom the task backlog and to set and review specific sprint goals
  • Participate in customer facing meetings to capture and prioritise low level analytical requirements
  • Design and perform user-acceptability tests to validate that user stories for analytical workflows and components have been achieved, using appropriate data, analytical configurations and, where appropriate, Featurespace platform installations, which you design and provision
  • Develop user-acceptability testing scenarios into demos for training and evangelising
  • Document and demonstrate analytical workflows, create and deliver training to internal analytical users and support teams
  • Review and approve function/API documentation produced by agile engineering teams
  • Inform customer-facing documentation produced by our Technical Communications team
Apply now

Meet Rosanna, Senior Implementation Engineer at Featurespace

Check out Rosanna’s blog to see what life at Featurespace is really like!

Read Rosanna's blog

About you

Must haves

  • Strong academic background with degree or higher level qualification from a top tier university in computer science, mathematics, physics, engineering or related field
  • Ability to define user stories, low level requirements and acceptance criteria for agile engineering teams
  • Committed optimist with outstanding communication skills and an ability to empathise with users and colleagues from a wide array of backgrounds
  • Ability to understand complex systems quickly and explain them simply to other people
  • Understanding of the MLOps lifecycle and how it is managed by modern ML frameworks
  • Practical experience of the handling and mining of large, diverse, data sets
  • Practical experience of data science tools such as Python, SQL and visualisation libraries
  • A desire to instigate and shepherd change
  • Ability to manage and prioritise personal workload

Great to haves

  • Ph.D. or other postgraduate level qualification with good mathematical background and knowledge of statistics
  • Experience developing and deploying machine learning models into high throughput, real-time prediction contexts
  • Domain knowledge in the banking and payments industry
  • Awareness of enterprise software engineering practices, such as code review, QA, CI, and agile
  • Strong problem-solving skills (especially in data-centric applications)
  • Ability to assess system architecture/designs from an analytical and business impact perspective
  • Experience using integrated MLOps platforms in the cloud

Personal Qualities

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

  • Commitment to delivering success on behalf of our customers
  • Enthusiasm to grow and develop your career in a fast-paced company
  • Desire to share expertise and help develop the people around you
  • Attention to grammatical detail, layout, and presentation


And most importantly, a small-company attitude: willingness to adapt to a variable role, wearing many different hats from day to day.

As well as competitive salaries, we offer a range of benefits.

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., 3rd Floor, Broers Building, Hauser Forum, 21 JJ Thomson Avenue, Cambridge CB3 0FA

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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