Where

BI - Data Scientist and AI Machine Learning

Network Recruitment
Pretoria Full-day Full-time

Description:

BI - Data Scientist - AI Machine Learning Are you a data-driven innovator with a passion for business intelligence, analytics, and machine learning? We’re looking for a Data Science Lead to drive strategic initiatives, build models from scratch, and lead a high-performing team in a fast-paced, data-centric environment. What You’ll Do:
  • Develop and implement cutting-edge business intelligence models to drive decision-making.
  • Use Python and machine learning to analyze large datasets and optimize performance.
  • Design and maintain scalable data infrastructure for real-time analytics.
  • Collaborate with cross-functional teams to integrate data-driven insights.
  • Establish best practices for data governance, quality, and compliance.
  • Present complex data insights in a clear and actionable way for senior stakeholders.

What You’ll Need:
  • 5+ years of experience in data science, business intelligence, or analytics.
  • Strong Python skills, with expertise in Pandas, NumPy, Scikit-Learn, and data visualization tools.
  • Hands-on experience with SQL, Snowflake, BigQuery, or similar databases.
  • Solid understanding of statistical analysis, machine learning, and data modeling.
  • Proven ability to build and scale data functions from the ground up.
  • Strong leadership skills or a desire to build and manage a team.
  • Excellent communication skills to translate complex data into business insights.

Bonus Skills:
  • Experience in credit risk modeling, financial analytics, or alternative credit scoring.
  • Familiarity with cloud-based platforms (AWS, GCP, Azure).
  • Knowledge of BI tools such as Power BI, Tableau, or Looker.
  • A/B testing and experimentation framework experience.
Why Join Us?
  • Build from the Ground Up – Take ownership of a growing data science function.
  • Impact & Innovation – Influence the future of data-driven decision-making.
  • Collaborative Culture – Work in a dynamic, forward-thinking environment.
  • Competitive Compensation – Get rewarded for your expertise and leadership
.
APPLY NOW!

If you are interested in this opportunity, please apply directly. For more finance jobs, please visit https://www.networkrecruitmentinternational.com

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
We also invite you to contact us to discuss your next career move in finance!

For more information contact:
Heidi Nieuwoudt on 012 348 4940
Specialist Recruitment Consultant: Actuarial and Analytical Professionals

Requirements:

  • Develop and implement cutting-edge business intelligence models to drive decision-making.
  • Use Python and machine learning to analyze large datasets and optimize performance.
  • Design and maintain scalable data infrastructure for real-time analytics.
  • Collaborate with cross-functional teams to integrate data-driven insights.
  • Establish best practices for data governance, quality, and compliance.
  • Present complex data insights in a clear and actionable way for senior stakeholders.
  • 5+ years of experience in data science, business intelligence, or analytics.
  • Strong Python skills, with expertise in Pandas, NumPy, Scikit-Learn, and data visualization tools.
  • Hands-on experience with SQL, Snowflake, BigQuery, or similar databases.
  • Solid understanding of statistical analysis, machine learning, and data modeling.
  • Proven ability to build and scale data functions from the ground up.
  • Strong leadership skills or a desire to build and manage a team.
  • Excellent communication skills to translate complex data into business insights.
  • Experience in credit risk modeling, financial analytics, or alternative credit scoring.
  • Familiarity with cloud-based platforms (AWS, GCP, Azure).
  • Knowledge of BI tools such as Power BI, Tableau, or Looker.
  • A/B testing and experimentation framework experience.
  • Build from the Ground Up – Take ownership of a growing data science function.
  • Impact & Innovation – Influence the future of data-driven decision-making.
  • Collaborative Culture – Work in a dynamic, forward-thinking environment.
  • Competitive Compensation – Get rewarded for your expertise and leadership
17 Mar 2025;   from: careers24.com

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