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DATA SCIENTIST - Python - Gain MACHINE LEARNING experience with Global Asset Management Company

Job Title: DATA SCIENTIST - Python - Gain MACHINE LEARNING experience with Global Asset Management Company
Contract Type: Permanent
Location: Cape Town
Salary: R600K /annum CTC
Reference: Data Scientist - utilise Data Scient and Machine Learning Algorithms to inform decision making & strategy for wealth creation
Contact Name: Ashleigh Watermeyer
Contact Email:
Job Published: September 20, 2017 20:30

Job Description

**DATA SCIENTIST** Further your Machine Learning & Python experience working with a global leader in Asset Management. As DATA SCIENTIST, you will be joining a NEW Data Science team and will be responsible for utilizing advanced statistical analysis and machine learning algorithms to help MAXIMISE WEALTH CREATION for their clients.

This position is Cape Town CBD based is paying up to R600K/annum (negotiable depending on skills and experience)

This well-known Asset Management organization is globally recognised for providing financial security and investment expertise to a wide range of clients. The company invests heavily in their employees by providing career opportunities and development as well as access to funding for further studies. The company also believes in the wellbeing of their staff and offers additional perks such as daily lunches, barista coffee, an onsite gym and more.

As DATA SCIENTIST you will be responsible for utilizing Data Science and Machine Learning Algorithms to inform decision making and strategy for wealth creation. You will need to engage with business stakeholders to understand and refine requirements, identify and source relevant data from internal and external sources, analyse data integrity, identify suitable statistical models and transform data as required.

• Postgraduate Degree in Mathematics, Statistics, Computer Sci / Engineering, Info Science or related
• Min of 2 years’ experience in a Data Scientist role
• Excellent understanding of Machine Learning and Data Analytic techniques (k-NN, Naïve Bayes, SVM, Decision Forests etc)
• Data Science Language – Python / R
• SQL Proficient
• Experience with NoSQL Databases – MongoDB


If you qualify for this role, please email your CV directly to:

Ashleigh Watermeyer
(021) 801 8001

If you have not had a response to your application within 14 days please consider your application to be unsuccessful.