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Senior Data Scientist

  • Location

    North London, London

  • Sector:

    Data Science

  • Job type:

    Permanent

  • Salary:

    £40000.00 - £70000.00 per annum

  • Contact:

    Chris Coyne

  • Contact email:

    Chris.Coyne@morson.com

  • Job ref:

    160010CCE_1554303686

  • Published:

    16 days ago

  • Expiry date:

    2019-04-10

  • Client:

    #

Senior Data Scientist

If you're looking to challenge yourself working on the latest Deep Learning and Computer Vision projects, then this role could be for you.

This global services organisation is currently developing a solution that will be the first of its kind within Deep Learning. They own the largest data-set globally for the problem and have the right tools to fix it. As part of this innovative team, you'll work collaboratively within the R&D phase taking the project through to production, showing good commercial awareness.

As a Data Scientist in return you'll be backed with huge investment, a visionary leader who operates agilely and listens to his people, the successful Data Scientist will be part of close nit team who have extensive industry experience that will add value to the most experienced Data Scientist

This team is relaxed flexible environment where it's about delivering, with the option to work from home each week & flexible working.

Essential

· Knowledge of Python, Deep Learning and Machine Learning techniques

· Experience in Deep Learning experience within a commercial setting

Benefits

· Holidays - 25 days

· Bonus

· Salary up to £85,000

· Extra day holidays when moving to a new house or getting married

· Flexible working / home working, which is once per week initially

· Pension scheme: 5% employer's and 5% employee's contribution

On offer is a market leading salary, bonus, pension and many greater benefits. So if you have a relevant PhD looking to kick start your career within the Data Science industry please get in touch.

To Learn more please get in touch with Chris Coyne direct via the advert or LinkedIn.