Job Description

• Data scientist role is available within a financial services organization
• Data scientist role is available within a financial services organization

About Our Client

Financial services organization

• Fully own the recommendation engine - build new models to predict "next product" nudges, optimize the system and feedback loops that determine next actions to take for a customer, and handle all interactions with stakeholders across the oganisation

• Build and automate feature sets to improve model performance

• Continually analyse the performance of the system and innovate to improve it

• Build the machine learning models needed to predict customer preferences as well as expected behaviour, customer segmentation models also needed

• Build decisioning logic running of the back of these models to build an holistic strategy to drive product recommendation that optimizes sales in the context of product performance

• Track and Monitor cross sell initiatives and campaigns to ensure they are performing optimally

The Successful Applicant

• * At least 4+ years of experience in analytical and data driven environments.
• * Strong hands-on knowledge of automation / data mining / predictive modelling. tools such as Python, SQL, R, SAS, etc. * Demonstrated experience in driving results and co-ordinating activities to solve problems across multi-functional/diverse teams; and leading with high energy and a positive attitude.
• * Sound judgement in addressing commercial challenges.
• * Strong analytical and data skills.
• * Strong relationship building skills and an entrepreneurial approach that leverages further opportunities
• Masters or Bachelors degree in any field with advanced quantitative focus or with high distinction in modelling oriented discipline including but not limited to: Psychometrics, Statistics, Mathematics, Physics, Chemistry, Biology, Econometrics, Engineering, etc.

What's on Offer

R500 000 - 800 000

Contact

Katlego Malebane

Quote job ref

JN-072023-6135019

Phone number

+27 11 303 8300

Michael Page