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    4. Junior Data Scientist 2024
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    As a Junior Data Scientist, you will work with the wider Analytics & Data Science team building advanced statistical models and algorithms that infer and predict individual customer behaviours in real-time, based on retail, online and ecommerce transaction data.

    Our Analytics & Data Science teams are based across both our Cambridge and London offices – this is a hybrid role so you will ideally be comfortable coming into one or other of the offices around twice a week. If you’re interested in the role but require more flexibility, please speak to us!

    Day to day

    • Applying analytical theory to diverse real-world problems on large and dynamic datasets
    •  Generating integral work products from project kickoff through to live deployment
    • Contributing to the development of statistical models and algorithms for integration within Featurespace products
    • End-to-end processing and modelling of large customer data sets
    • Producing materials to feedback analytic output to customers (reports, presentations, visualizations)
    • Working collaboratively with customers to develop and optimize models tailored to their data
    • Evaluating and improving analytical results on live systems
    • Developing an understanding of industry data structures and processes
    • Working with engineering/development teams to support and enhance the analytical infrastructure
    • Testing analytical models and their integration within the ARIC platform

    About you

    Must haves

    • Good degree in a scientific or numerate discipline (e.g. Computer Science, Physics, Mathematics, Engineering) or equivalent work experience
    • Evidence of interest in machine learning
    • Experience in utilising statistical models and analytical algorithms in software
    • Experience using Python, Java, R or another major programming language for data analysis, machine learning or algorithm development
    • Technical and analytical skills with the ability to pick up new technologies and concepts quickly
    • Problem-solving skills (especially in data-centric applications)
    • Strong communication skills
    • Ability to manage and prioritise personal workload

    Great to haves

    • Exposure to the handling of large, diverse, real-world data sets
    • Experience working in a Linux command line environment
    • Experience using SQL to analyse data
    • Experience with version control software and workflows (e.g. git)

    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.