Remote Data Science Lead — ML for Credit & Fraud

Standard Bank Group

Johannesburg

On-site

ZAR 900,000 - 1,300,000

Full time

14 days+
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Job summary

Standard Bank Group in Johannesburg invites a Data Science Lead to drive the development and deployment of advanced ML models across credit scoring, fraud detection, and customer segmentation. You will partner with product, risk, and technology teams to translate data into strategic insights, mentor a multidisciplinary team, and contribute to the bank's digital transformation.

This role requires 5+ years in data science, a strong foundation in Python or R, and hands-on experience with cloud and

Qualifications

  • Bachelor’s degree in Computer Science, Statistics, or related field; Master’s preferred.
  • Minimum five years of professional experience in data science or analytics, preferably in banking or financial services.
  • Proficiency in Python or R and ML frameworks; strong statistical modeling skills.

Responsibilities

  • Lead end-to-end data science projects from problem definition to model production and monitoring.
  • Develop predictive models for credit risk, fraud detection, and customer segmentation.
  • Collaborate with data engineers to ensure robust data pipelines and high-quality data sources.
  • Mentor junior data scientists and champion model governance.
  • Present analytical findings to senior leadership and translate insights into business actions.
  • Evaluate emerging AI/ML technologies for banking applications.

Skills

Python/R
scikit-learn
TensorFlow
PyTorch
Statistical modeling
Big data
Spark
Hadoop
AWS
Azure
GCP
Communication
Leadership
Financial services knowledge

Education

Bachelor’s degree in Computer Science/Statistics or related field
Master’s degree in Data Science or related field

Tools

Spark
Hadoop
AWS
Azure
GCP

Job description

Standard Bank Group in Johannesburg invites a Data Science Lead to drive the development and deployment of advanced ML models across credit scoring, fraud detection, and customer segmentation. You will partner with product, risk, and technology teams to translate data into strategic insights, mentor a multidisciplinary team, and contribute to the bank's digital transformation.

This role requires 5+ years in data science, a strong foundation in Python or R, and hands-on experience with cloud and

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