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Data Scientist (Machine Learning Models, Python, AWS)

Data Scientist (Machine Learning Models, Python, AWS)

  • Location

    London, England

  • Sector:

    Machine Learning & AI

  • Job type:

    Permanent

  • Salary:

    £60000 - £75000 per annum + company benefits, equity

  • Contact:

    Anna Heneghan

  • Email:

    aheneghan@understandingrecruitment.co.uk

  • Job ref:

    BBBH1522_1552292734

  • Published:

    3 months ago

  • Expiry date:

    2019-04-10

  • Startdate:

    ASAP

  • Consultant:

    #

Data Scientist (Machine Learning Models, Python, AWS):

I am looking for a talented Data Scientist (Machine Learning Models, Python, AWS) to join our organisation, that are building Machine Learning models specifically for risk analytics software. Our organisation are currently disrupting the financial and insurance domain with their platform; we are looking to help small to medium size companies avoid huge financial errors through our efficient and effective software.

As a Data Scientist, you will be a key voice in the team who will be handling mass amounts of data/Machine Learning problems and in turn, coming to the most efficient solutions. This Data Scientist will be working alongside our Software Engineers and Researchers; helping to bring their own relevant experience in the field and thus play a pivotal role in the wider team and companies aspirations moving forward.

Essentially, what we require is a Data Scientist with experience working with Python programming. Additionally, any leadership/team leading experience would be highly valuable for the team. You will be helping small companies avoid sacrificial errors in this corporate world we currently live in, working on cutting-edge technology as you do so.

What we can offer a Data Scientist (Machine Learning Models, Python, AWS):

  • To work in a high profile start-up who are well funded and profitable already
  • Strong salary and package offered
  • Flexible working environment and hours
  • Part of a highly experienced and well established team

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