Cambridge, UK

Senior Data Scientist

The Opportunity

As our Senior Data Scientist, you will play a crucial role in helping us achieve our goals and deliver success on behalf of our customers by developing and maintaining the end-to-end analytic products that exist within our solutions, including data schemas, advanced statistical models, reporting configuration, and documentation. This is an exciting opportunity to collaborate with teams across the organisation to uncover opportunities to work on, share insights, and develop products.

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

  • Interacting with users (both internal and external) to understand their problems and sharing this insight with the rest of the team
  • Collaborating with Product Managers & other members of the team to align on the highest value items to work on 
  • Coordinating work across multiple teams & when needed, taking on additional “tech lead” responsibilities for driving initiatives to completion 
  • Identifying risks and testing assumptions before development 
  • End-to-end processing and modelling of large customer data sets 
  • Leading the deployment and maintenance of statistical models and algorithms  
  • Testing analytical models and their integration within the Featurespace platforms 
  • Ensuring high quality documentation exists alongside analytics products (reports, presentations, visualizations) 
  • Measuring, documenting, and improving outcomes associated with analytic products 
  • Supporting the delivery teams delivering analytic products 
  • Enabling both technical and non-technical colleagues by effectively communicating insights learnt during discovery and data analysis
  • Evangelizing on the benefits of the analytic products within Featurespace 
  • Recruiting for Data Scientists within the team 
  • Improving team processes and providing input to future team strategy  
  • Developing a solid understanding of the fraud and financial crime industries 
DS team

Analytics & Data Science at Featurespace

Find out what it’s like to be part of the team!

About you

Must haves:

  • Good degree in a scientific or numerate discipline, e.g. Computer Science, Physics, Mathematics, Engineering or equivalent work experience 
  • Experience using Python, Java, or another major programming language for data analysis, machine learning or algorithm development 
  • Experience leading the deployment of machine learning models into high throughput, real-time prediction contexts 
  • Commercial experience implementing statistical models and analytics algorithms in software 
  • Technical and analytical skills with the ability to pick up new technologies and concepts quickly 
  • Problem solving skills (especially in data-centric applications) 
  • Strong, clear, concise written and verbal communication skills 
  • Ability to manage and prioritise personal workload 
  • Constructive participation in system architecture/design discussions from an analytical and business impact perspective 
  • Practical experience of the handling and mining of large, diverse, data sets 
  • Experience of collaborating with multiple stakeholders on technical projects 

Great to haves:

  • Ph.D. or other postgraduate level qualification with good mathematical background and knowledge of statistics 
  • Experience working in a Linux command line environment 
  • Experience using SQL to analyse data 
  • Experience with version control software and workflows (e.g. git) 
  • Experience mentoring junior members of a team 
  • Experience with the product development lifecycle (discovery, prototyping, implementation, iteration, sunsetting etc.) 
  • Subject matter expertise in the banking and payments industry
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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.