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Decision Scientist

Capitec Bank

Sandton

On-site

ZAR 300,000 - 700,000

Full time

30+ days ago

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Job summary

An established industry player is seeking energetic and self-motivated individuals to join their team in the banking sector. This role focuses on leveraging data science to solve business challenges, enhance processes, and drive strategic decision-making. Candidates will be tasked with building and implementing advanced analytics models that support data-led decisions and uncover opportunities for improvement. If you have a passion for data and a desire to contribute to innovative banking solutions, this opportunity is perfect for you. Join a dynamic team that values diversity and is committed to excellence in service delivery.

Qualifications

  • 4+ years experience in data science or related fields.
  • Strong knowledge of predictive modeling and data analysis.

Responsibilities

  • Solve business problems and create new products using data science.
  • Analyze and optimize data for decision-making processes.

Skills

Data Analysis
Machine Learning
Statistical Modeling
Programming
Database Manipulation
Cloud Computing
Business Analysis
Problem-Solving

Education

Degree in Mathematics
Honours Degree in Data Science
Master's Degree in Data Science

Tools

SQL
SAS
Azure
AWS
Docker

Job description

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, translating active business data into usable strategic information.
  • To analyze and optimize 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/Machine Learning strategy, enabling data-led and improved business decision making. Design quantitative advanced analytics models that answer business questions and/or discover opportunities for improvement, increased revenue, or reduced costs.
Candidate Requirements

Qualifications & Experience:

  • Degree in Mathematics | Statistics | Data Science | Business Analytics | Engineering | Computer Science plus 4+ years relevant work experience. OR
  • Honours Degree in Mathematics | Statistics | Data Science | Business Analytics | Engineering | Computer Science plus 3+ years relevant work experience. OR
  • Master's Degree in Data Science or relevant discipline (e.g., Mathematics, Statistics, Engineering, Computer Science).

Knowledge:

  • Functional business area (e.g., Credit) environment knowledge and experience.
  • Regulatory requirements (e.g., NCR, POPIA, SARB).
  • Business analysis, requirements gathering, translating into business requirement specifications, and designing and delivering business solutions.
  • Modern software development best practices.
  • Working in cloud environments (e.g., Azure, AWS).
  • Different operating systems/databases/programming languages.
  • Predictive modeling techniques (statistical and machine learning) and deployment.
  • Extracting, aggregating, cleaning, and analyzing data from large relational databases.
  • Data Science lifecycle and applicable skills within.

Functional Skills:

  • Programming; Database manipulation | Data Exploration Visualization.
  • Statistical model development.
  • Advanced computer literacy and programming (Office Suite, working on different OS environments, e.g., working on remote Linux environment and dockerizing machine learning models).
  • Building and deployment of models.
  • ML language, for example, SQL, SAS.
  • Version Control.
  • Ability to productionalize and solution design.
  • Ability to learn, understand, and apply complex machine learning methodologies.
  • Functional domain skill of the (e.g., credit) environment.
  • Capability to identify, define, and solve the business problem, i.e., application of domain know-how and problem-solving.
  • Cloud computing (navigating on cloud vs. on-premises).

Additional Information:

  • Clear credit and criminal record.

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

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