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Company : Oho Group
Job Title : Data Scientist
Job Category / Job Sector : Other / IT
Job Reference : 11MJC67
Job Description :
Data Scientist

Data Scientist – Central London – up to £50k! (Plus shares + additional benefits)

Python / NumPy / SciPY / Pytables / Pandas 

This is an immediate opportunity to work with a Big-Data Machine Learning Start-up company in the heart of London.

The role itself is a Data Science Position with a big focus on Python programming. The data sets are large and extremely complex, so we need a Data Scientist who is expert in Python skills. In the role you will be reporting to the Data Science Team lead, under the CTO.

The company specialise and deal with large sets of data coming from matching engines around the globe, so your role will involve understanding and processing complex sets of data to enable value to be extracted from it.

Requirements for the Data Scientist:

-          Strong Python skills including: Numpy, Scipy, Pytables, Pandas

-          First class degree from a top tier university

-          PhD or Post-doc degree in a scientific or technical discipline

Highly beneficial:

Confident with SQL databases

Experience with time series data

Publication track record in peer reviewed journals

Experience designing database tables


The ideal Data Scientist:

Will be someone who has expertise in Mathematics, Statistics and coding, in tackling complex data problems.

Candidates who have broad and commercial experience using Python will be favoured.

We need someone who can very quickly grasp technical concepts and understand how to rapidly solve problems associated with them. The ideal Data Scientist will be someone who can examine data from many perspectives.


Python / NumPy / SciPY / Pytables / Pandas  
Skills (Years Experience) :
Language Requirements :
Employment Type :
  • Permanent
Salary/Rate : From: 40000  To: 50000 per year
Other Information
Min. Qualifications :
Min. Experience (Years) : Unspecified
Job Location : London - City of London - UK
Post Date : 08 Jan 2018
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