Senior Financial Data Scientist – Hybrid, Midrand

Placements24; Midrand; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Health coverage

Retirement plan

Professional development

Hybrid work model

Flexible hours

Job summary

Placements24 is seeking a Senior Data Scientist for our client, a leading fintech in Midrand, Gauteng. You will advance predictive models for fraud detection, credit scoring, and algorithmic trading, working on large, high‑dimensional datasets in a hybrid office setup.

You’ll collaborate with data engineers and product teams, mentor junior data scientists, and translate complex insights for stakeholders while staying current with ML advances and cloud platforms (AWS/GCP/Azure) in a flexible,

Qualifications

• Master's or Ph.D. in a quantitative field.
• Minimum of 5 years of professional data science experience in financial modeling.
• Strong proficiency in Python or R with data manipulation and ML libraries.

Responsibilities

• Develop, train, and validate machine learning models for financial applications.
• Process, clean, and analyze large datasets.
• Design and conduct A/B tests and experiments.
• Collaborate with engineers and product managers to deploy models.
• Mentor junior data scientists and contribute to technical growth.
• Communicate findings to technical and non-technical audiences.

Skills

Python

R

SQL

Data analysis

Communication

Education

Master's or PhD in Computer Science/Statistics/Mathematics

Tools

Pandas

Scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Job description

Placements24 is seeking a Senior Data Scientist for our client, a leading fintech in Midrand, Gauteng. You will advance predictive models for fraud detection, credit scoring, and algorithmic trading, working on large, high‑dimensional datasets in a hybrid office setup.

You’ll collaborate with data engineers and product teams, mentor junior data scientists, and translate complex insights for stakeholders while staying current with ML advances and cloud platforms (AWS/GCP/Azure) in a flexible,