Remote, US

Consultant - Data Science

The Opportunity

Featurespace is looking for an enthusiastic, Consultant to join our Analytics department working remotely in the US.

In your role as Consultant you will help us achieve our goals and deliver success on behalf of our customers by providing consulting expertise to the customers on Featurespace’s advanced statistical models, machine learning, rules-based solutions and algorithms that infer and predict individual customer behaviours in real-time, based on retail, online and ecommerce transaction data.

Day to Day

  • Support the end-to-end delivery of analytics, facilitating customers and internal teams in preparation for each stage
  • Review and lockdown project scope by understanding analytical requirements, identifying any misalignment with statements of work
  • Drive interactions with customers to understand the problems they want to solve, proposing optimal analytical solutions
  • Educate customers on the ARIC platform and our analytical solutions
  • Work with customers to understand the opportunities and constraints of their existing data in the context of our industry-leading analytical solutions
  • Advise and lead the customer through data readiness checks – understand common data issues and work with customers to resolve these efficiently
  • Assist internal teams with the development and deployment of statistical models and algorithms for integration with Featurespace products
  • Apply an understanding of the capabilities of the ARIC product and solutions in the analytics space
  • Become an expert in customer data structures and processes; route and translate information to internal development teams as required
  • Produce materials to feedback analytic results to customers (reports, presentations, visualisations)
  • Work with customer QA teams to advise on effective analytical testing and supporting test phases
  • Support customer Data Science and Analytics groups with their model development and deployment in the ARIC platform
  • Prepare for and run project workshops in the analytics and data space
  • Evaluate the analytical results on live systems and work with customers to suggest opportunities for improvement where possible
  • Provide analytic support and consultancy services to our customers
Apply now
Life at Featurespace: Lucy Griffin, Director of Analytics

Meet Lucy, Director of Analytics at Featurespace

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

Read Lucy's blog

About you

Must haves:

  • A degree in a scientific or numerate discipline, e.g. Computer Science, Physics, Mathematics, Engineering
  • Great client facing skills, able to communicate complex analytical concepts to a variety of audiences, especially in a data science context. E.g. the application of practical machine learning algorithms to real-world data
  • Ability to understand complex systems quickly
  • Problem solving skills (especially in data-centric applications)
  • Strong, clear, concise written and verbal communication skills
  • Technical and analytical skills with the ability and enthusiasm to pick up new technologies and concepts quickly
  • Ability to manage and prioritise personal workload
  • Experience working with customers to gather complex sets of requirements
  • Experience in stakeholder management and managing customer expectations and common challenges
  • Working knowledge of Python and experience writing SQL queries
  • Experience in requirements management, business analysis, consulting environment is a plus

Great to haves:

  • Knowledge of fundamental machine learning concepts (feature engineering, algorithms, model evaluation, model bias)
  • Familiarity with software engineering practices, version control and the Unix command line
  • Experience developing statistical models and analytical algorithms
  • Practical experience of the handling and mining of large, diverse, data sets
  • Industry experience in financial services, particularly fraud and fraud strategy
  • Basic knowledge of event-driven systems and distributed computing for stateful systems

Personal Qualities

The work is often challenging and fast paced. 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
  • Drive for continuous improvement on behalf of your team and our customers
  • Passion for teamwork in a high performance group
  • Attention to grammatical detail, layout and presentation

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.

Please note:

Applicants must be currently authorized to work in the United States for any employer

No sponsorship is available for this position

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.

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.

Read the report

The State of Fraud and Financial Crime in the U.S.

Discover the first benchmark for fraud values, volumes, and losses. By the industry, for the industry.