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Jobs in South Africa

Decision Scientist

Capitec Bank

Stellenbosch
On-site
ZAR 300,000 - 400,000
Today
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Senior Account Manager Large Accounts

Itass B.V.

Amersfoort
On-site
ZAR 300,000 - 400,000
Today
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Regional Support Manager (PG13): SanlamConnect Intermediaries Cape Region: Bellville

Sanlam

Bellville
On-site
ZAR 300,000 - 400,000
Today
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Head Of Procurement

Ingrain

Gauteng
On-site
ZAR 1,200,000 - 1,500,000
Today
Be an early applicant

Qualified Post Basic Pharmacist Assistant - Clicks Selection Park

Clicks Group

Gauteng
On-site
ZAR 200,000 - 300,000
Today
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Senior Developer

Executiveplacements.Com - The Job Portal

Johannesburg
On-site
ZAR 600,000 - 800,000
Today
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Despatch Clerk

RCL FOODS

Rustenburg
On-site
ZAR 150,000 - 180,000
Today
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Dispatch Coordinator

Exceed HR and Recruitment

Kraaifontein
On-site
ZAR 200,000 - 300,000
Today
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Intermediate Scrum Master

Ilaunch

Cape Town
On-site
ZAR 500,000 - 800,000
Today
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Chief Financial Officer

Bizzy Solve

Mbombela
On-site
ZAR 1,200,000 - 1,800,000
Today
Be an early applicant

Senior Accountant / Senior Finance Manager

Oza Holdings

Gauteng
On-site
ZAR 200,000 - 300,000
Today
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Administrator And Telesales

Bright Search Recruitment (Pty) Ltd

Gauteng
On-site
ZAR 200,000 - 300,000
Today
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Intermediate Data Engineer

e-Merge IT Recruitment

Cape Town
Hybrid
ZAR 750,000 - 950,000
Today
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Life Orientation Head Of Department. Tembisa Gr 10 - 12

Edustaff

Gauteng
On-site
ZAR 400,000 - 500,000
Today
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Dispatch Clerk

Ayoba Pharm

Gauteng
On-site
ZAR 50,000 - 200,000
Today
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HR Shared Services Administrator

Senwes

Klerksdorp
On-site
ZAR 200,000 - 300,000
Today
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Finance Director

Network Finance.

Johannesburg
On-site
ZAR 800,000 - 1,200,000
Today
Be an early applicant

Senior Business Analyst

Mmi Holdings Ltd

Gauteng
Hybrid
ZAR 600,000 - 800,000
Today
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Sales Executive

Ad Talent

Pretoria
On-site
ZAR 600,000 - 900,000
Today
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Assistant Audit Manager

University of Fort Hare

Pietermaritzburg
On-site
ZAR 350,000 - 500,000
Today
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General Assistant (P27) PHALABORWA -0018

Pepkor Speciality

Phalaborwa
On-site
ZAR 50,000 - 200,000
Today
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Quality Assurance Lead (Automation Testing)

iOCO Pty Ltd

Johannesburg
On-site
ZAR 750,000 - 1,000,000
Today
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Permanent Part Time - Sales Assistant - Cape Union Mart - Centurion

Cape Union Mart Group

Gauteng
On-site
ZAR 50,000 - 200,000
Today
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Lead Auditor – Iso 9001 : 2015 (Quality Management)

Aa Business Consultants

Gauteng
On-site
ZAR 350,000 - 500,000
Today
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Administrative & Digital Support Assistant (Web Solutions & Digital Services)

Gtis Sa

Gauteng
On-site
ZAR 200,000 - 300,000
Today
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Decision Scientist
Capitec Bank
Stellenbosch
On-site
ZAR 300 000 - 400 000
Full time
Today
Be an early applicant

Job summary

A financial institution in Stellenbosch is seeking a Data Scientist to develop predictive models and optimize business processes. Candidates should have an Honours Degree in Mathematics or Statistics, with at least 5 years of experience in an analytical role, ideally within the financial sector. Proficiency in Python or SAS Viya is essential, along with solid numerical reasoning and analytical skills. This role offers an opportunity to be part of a cutting-edge AI strategy.

Qualifications

  • Minimum 5 years’ experience in an analytical science role.
  • Experience in the financial sector and credit environment.
  • Proficient in statistical model development and machine learning techniques.

Responsibilities

  • Solve business problems and create new products using data science.
  • Analyze and optimize data related to specific business areas.
  • Develop and deliver Capitec's AI strategy through advanced analytics.

Skills

Numerical Reasoning skills
Researching skills
Analytical Skills
Problem solving skills
Decision making skills
Planning, organising and coordination skills
Attention to Detail
Presentation Skills
Interpersonal & Relationship management Skills
Communications Skills

Education

Honours Degree in Mathematics or Statistics
Masters Degree in Mathematics or Statistics

Tools

Python
SAS Viya
Azure
AWS
Job description

Apply by:

We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:

1. To see what life at Capitec is all about and complete a short assessment, please click here!

2. Once you have completed the above finalize your application by clicking apply below

Purpose Statement
  • To solve business problems, create new products and services, and improve processes through using the disciplines of data science, quantitative (financial) analysis, and traditional scoring techniques - translating active business data into usable strategic information.
  • To look at ways of analysing and optimising data as it relates to a specific business area; framing data analysis in terms of the decision-making process for questions or business problems posed by a stakeholder.
  • To help build and deliver Capitec's AI strategy, enabling data-led and improved business decision making.
  • To design quantitative advanced analytics models that answer business questions and/or discover opportunities for improvement, increased revenue, or reduced costs.
Education (Minimum)
  • Honours Degree in Mathematics or Statistics
Education (Ideal or Preferred)
  • Masters Degree in Mathematics or Statistics
Experience and Knowledge

Minimum Experience and Knowledge:

  • Length of experience required is also conditional on qualifications obtained
  • Statistical (predictive and classification) model development and deployment principles and techniques; including traditional scoring (logistic regression with binning and missing value replacement, e.g., reject inference), Machine Learning (neural networks, SVM, random forests, etc.), and quantitative analysis (time value of money, etc.)
  • At least one Machine Learning language (e.g., Python or SAS Viya)
  • Business analysis and requirements gathering
  • General business know-how (e.g., risk, compliance, operations - such as NCR, POPIA, and SARB)
  • Cloud environments (e.g., Azure, AWS, and large relational databases)
  • Functional business area (e.g., Credit) environment knowledge and experience
  • Developing scorecards from scratch
  • Underlying theory and application of machine learning models
  • Best practices for decision science (such as reusability, reproducibility, continuous monitoring, etc.)

Ideal Experience and Knowledge:

  • Over 5 years’ experience in an analytical science role
  • Working with multiple teams to deliver predictive models into a production environment
  • Financial sector
  • Credit environment / industry (Credit cycle)
  • Bank decision science lifecycle
Skills
  • Numerical Reasoning skills
  • Researching skills
  • Analytical Skills
  • Problem solving skills
  • Decision making skills
  • Planning, organising and coordination skills
  • Attention to Detail
  • Presentation Skills
  • Interpersonal & Relationship management Skills
  • Communications Skills
Additional Information
  • Clear criminal and credit record

Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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