Remote Senior Data Scientist - Finance & Forecasting

Placements24; Benoni; Hybrid; ZAR 1,000,000 - 1,600,000; Full time

Benefits offered by this job

Remote-first culture

Competitive compensation

Continuing education opportunities

Support for conferences

Career growth

Job summary

Placements24 is seeking a Senior Data Scientist for a fully remote role across South Africa. You will leverage advanced statistical analysis, ML, and data mining on financial datasets to build predictive models and optimize strategies.

The team emphasizes independent work and collaboration in a remote-first environment. The ideal candidate has a strong background in ML techniques, data visualization, and communication to translate complex findings for stakeholders.

Qualifications

• Master's or PhD in a quantitative field such as Data Science, Statistics, CS, or Mathematics.
• Minimum of 5 years of data science experience focused on financial applications.
• Proficiency in Python or R and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.
• Strong ML expertise including regression, classification, clustering, and deep learning.
• Experience with SQL and big data technologies is a plus.

Responsibilities

• Design, develop, and implement ML models for financial forecasting, risk, and fraud detection.
• Extract, clean, and transform large financial datasets.
• Analyze financial data to identify trends and insights.
• Develop data visualizations and dashboards for stakeholders.
• Collaborate with business units to deliver analytical solutions.
• Mentor junior data scientists.
• Ensure data quality, integrity, and security.

Skills

5+ years experience

Financial analytics

Strong communication

Problem solving

Education

Master's or PhD in Data Science/Statistics/CS/Math

Tools

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Job description

Placements24 is seeking a Senior Data Scientist for a fully remote role across South Africa. You will leverage advanced statistical analysis, ML, and data mining on financial datasets to build predictive models and optimize strategies.

The team emphasizes independent work and collaboration in a remote-first environment. The ideal candidate has a strong background in ML techniques, data visualization, and communication to translate complex findings for stakeholders.