Senior Data Scientist - Fintech Analytics (Remote)

Placements24; Randburg; Hybrid; ZAR 900,000 - 1,600,000; Full time

Benefits offered by this job

Health insurance

Stock options

Fully remote work

Flexible hours

Professional development

Home office equipment

Team events

Job summary

Placements24 is seeking a Senior Data Scientist to join a cutting-edge fintech team. This fully remote role within South Africa focuses on building advanced analytical models, leveraging large datasets to drive strategic decisions in banking and finance.

The ideal candidate has 5+ years in data science, strong ML and statistical modeling expertise, and hands-on experience with Python/R, SQL, Spark/Hadoop. Collaboration with cross‑functional teams and mentoring juniors are key parts of the role.

Qualifications

• Advanced degree in a quantitative field (MS/PhD).
• 5+ years in data science/analytics roles, preferably in financial services.
• Strong programming skills with Python or R and ML libraries.
• Proficiency with SQL and big data tools (Spark, Hadoop).
• Ability to translate results into actionable business strategies.

Responsibilities

• Design, develop and deploy ML and statistical models.
• Analyze large datasets to identify trends and insights for financial services.
• Build predictive models for fraud detection, segmentation, risk and forecasting.
• Collaborate with product, engineering and business teams to integrate solutions.
• Develop visualizations and dashboards to communicate findings.

Skills

Machine learning

Statistical modeling

Data mining

Analytical thinking

Communication

Education

Master's or Ph.D. in CS/Statistics/Data Science

Tools

Python

R

SQL

Spark

Hadoop

TensorFlow

PyTorch

Job description

Placements24 is seeking a Senior Data Scientist to join a cutting-edge fintech team. This fully remote role within South Africa focuses on building advanced analytical models, leveraging large datasets to drive strategic decisions in banking and finance.

The ideal candidate has 5+ years in data science, strong ML and statistical modeling expertise, and hands-on experience with Python/R, SQL, Spark/Hadoop. Collaboration with cross‑functional teams and mentoring juniors are key parts of the role.