Data Scientist

3 weeks ago

Cambridge Cambridgeshire, United Kingdom Highland Capital Europe Full time

Advanced data science is the foundation of our unique technological approach at Featurespace and is the driving force behind our ongoing business success. To maintain our lead at the cutting edge of analytics, Featurespace is looking for a Data Scientist who will contribute to the successful application of our technology and help to grow our business.

As part of Featurespace’s Data Science team, you will be building advanced statistical models and algorithms that infer and predict individual customer behaviours in real-time, based on retail, online and eCommerce transaction data.

If you have an acute analytical mind and would enjoy applying your energies and skills to real-world commercial problems to deliver value to customers, then we would like to hear from you.

This is a hybrid role based in our Cambridge office, 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

End-to-end processing and modelling of large customer data sets

Working with customers to understand the opportunities and constraints of their existing data in the context of machine learning and predictive modelling

Developing statistical models and algorithms for integration with Featurespace products

Applying analytical theory to real world problems on large and dynamic datasets

Producing materials to feedback analytic results to customers (reports, presentations, visualisations)

Providing input into future data science strategy and product development

Working with development teams to support and enhance the analytical infrastructure

Working with QA teams to advise on effective analytical testing

Evaluating and improving the analytical results on live systems

Developing an understanding of industry data structures and processes

About you

Must haves:

Degree-level qualification in a scientific or numerate discipline, e.g. Computer Science, Physics, Mathematics, Engineering – or equivalent experience

Experience of applying practical machine learning algorithms to real-world data

Experience in implementing statistical models and analytical algorithms in software

Practical experience in the handling and mining of large, diverse, data sets

Problem solving skills (especially in data-centric applications)

Strong, clear, concise written and verbal communication skills

Technical and analytical skills with the ability to pick up new technologies and concepts quickly

Ability to manage and prioritise personal workload

Constructive participation in system architecture/design discussions from an analytical perspective

Great to haves:

A PhD or other postgraduate qualification

Experience working in a Linux command line environment

Experience using SQL to analyse data

Experience with version control software and workflows (e.g. git)

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.

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