Senior Data Scientist — Remote, Financial Insights

Placements24; Cape Town; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Private medical insurance

Retirement savings plans

Online courses and certifications

Job summary

Placements24 invites applications for a Senior Data Scientist role. The position supports a remote-first setup with Cape Town as a coordinating hub, enabling flexible work while operating across South Africa.

You will lead ML initiatives, build predictive models for customer behavior, risk, and fraud, and mentor junior data scientists. Ideal candidates hold a Master’s/PhD and 5+ years in financial services analytics, with strong Python/R skills and cloud experience.

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field.
• Minimum 5 years of professional experience as a Data Scientist, with a focus on financial services.
• Proficiency in Python or R, and libraries such as scikit-learn, TensorFlow, PyTorch.
• Strong SQL skills and experience with large-scale databases.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, and deploy machine learning models and algorithms.
• Analyze large datasets to identify trends, patterns, and insights.
• Develop data mining strategies to improve data quality and collection.
• Build predictive models for customer behavior, risk, and fraud detection.
• Collaborate with cross-functional teams to define data requirements and goals.
• Communicate findings clearly to stakeholders and mentor junior data scientists.

Skills

Machine Learning

Data Mining

Python

R

SQL

Cloud Platforms

Big Data (Spark/Hadoop)

Communication

Education

Master's or PhD in CS/Statistics/Math

Tools

TensorFlow

PyTorch

Spark

Hadoop

Job description

Placements24 invites applications for a Senior Data Scientist role. The position supports a remote-first setup with Cape Town as a coordinating hub, enabling flexible work while operating across South Africa.

You will lead ML initiatives, build predictive models for customer behavior, risk, and fraud, and mentor junior data scientists. Ideal candidates hold a Master’s/PhD and 5+ years in financial services analytics, with strong Python/R skills and cloud experience.