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    Junior Data Scientist - London, United Kingdom - Bluequo

    Bluequo
    Bluequo London, United Kingdom

    Found in: Jooble UK O C2 - 7 hours ago

    Default job background
    Description
    At SHARE, we love helping brands improve relevancy with the people that matter.

    We do this by mixing pioneering research and technology with strategy, creativity and performance to create solutions, messages and experiences that mean more.


    We're hugely experienced at doing this on social media and digital channels, but we'll create new products, run TV ads, put up billboards, climb mountains and create events whenever we feel it's the right, and relevant, thing to do.


    SHARE is made up of some of the brightest, independent and pirate minds in the industry and has a client list that includes Microsoft, Mercedes AMG and The North Face.

    As a member of the Data Science team, you will utilise a strong analytical mindset and solid programming skills to provide insight to our internal strategy and creative teams and directly to our wide range of clients.

    The two primary agency brands within our network you'll be supporting are SHARE (for the brand strategy) and Capture (for the direct to client research).

    Implement our own intelligence suite of deep learning, NLP, and forecasting tools and analyse and communicate the resulting insights in a way that addresses our clients' challenges, and ultimately, their success

    Use a variety of data science methods to design and deliver cutting edge research into consumer brands and products.

    Methods includes modelling, building language classifiers, a bit of predictive analytics, dimension reduction. Work closely with the Global Data Product Manager to feed into and support the development of our internal package suite

    We programme mainly in R (with some other languages thrown in), so the role is ideal for a recent graduate seeking to get into data science or an analyst with some knowledge of R striving to develop their data science skills.

    The role will require a mix of skills, with some computer science knowledge for the development of function writing and package deployment in the machine learning and NLP workspace, but also social science and research skills to present results in a way that answer business and research questions.


    Academic Background:
    Bachelor's or Master's degrees in Computer Science, Statistics, Mathematics, Economics or relevant STEM discipline


    Languages:
    English Advanced C1-C2

    Flexible hybrid working
    Quarterly company nights out
    Employee assistance programme
    Training Scheme

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