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Senior Data Scientist

    Home jobs Senior Data Scientist
    • £60-80K
    • Full Time
    •  London 

    Tagged as: AWS, Excel, Google Cloud, MS Azure, Python, R, SQL

    The Company

    An boutique firm who provides analytically-driven consumer insight services to a broad spectrum of consultancies and research agencies, as well as working directly with some of the worlds leading brands.

    Whether conducting advanced analytics, or delivering full market research programmes, this company consistently delivers creative solutions to help clients solve business issues and make better informed decisions.

    This company has four core specialisms: predictive models; segmentation; brand strategy; and product & service optimisation. Customer analytics will play a key role in all of these areas.

    The Role

    Th are looking for an experienced, commercially-focused and passionate leader who will grow and manage the new customer analytics team as a senior data scientist.

    You will be building analytics models using a range of data science approaches, such as machine learning and statistical techniques, along with wider analytical approaches such as time series and analytics with unstructured data e.g. NLP. They recently used gradient boosting machine learning to predict radio listening behaviour for a client, taking into account advertising spend.

    The Successful Candidate Is Likely To Have:

    Commercial skills:

    • Ability to talk confidently to clients, discussing and advising on business objectives
    • Proven track record of how results can best be deployed within businesses
    • Ability to take a flexible approach to workload, to work autonomously when required, demonstrating the ability to prioritise and organise

    Technical skills:

    • Excellent working knowledge of advanced analytical techniques, including regression, segmentation, machine deep learning, natural language processing, text analytics, and time-series modelling
    • Experience of a wide variety of technologies including: R or Python, SQL
    • Understanding and experience with cloud infrastructures such as Azure or AWS and how to integrate R or Python analytical workflows would be highly desirable
    • Proven track record with accessing client customer databases and data lakes
    • Knowledge of the major secondary data-sets available, and experience of merging these to create additional insights
    • Experience with web scraping tools and techniques

    Job Owner: d.prosser

    Tagged as: AWS, Excel, Google Cloud, MS Azure, Python, R, SQL

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    Job Owner

    Dan Prosser Managing Consultant – Client side Analytics

    Dan Prosser

    Managing Consultant
    I’ve been working with Metrica for over six years and currently head up our dedicated team of consultants and resourcers. Over this period, I have developed a wide-ranging client base consisting of ...
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    Metrica Recruitment
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    Clifton Hill
    Brighton
    BN1 3HR

    T: 01273 200 412
    E: team@metricarecruitment.com

    The Metrica Blog

    • 12 February, 2020
      Comments Off on Addressing The Gender Gap In Data Science

      Addressing The Gender Gap In Data Science

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