Remote Senior Data Scientist - Finance & ML Leader

Placements24; Gqeberha; Hybrid; ZAR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Health benefits

Remote-friendly culture

Professional development budget

Flexible work hours

Job summary

Placements24 is seeking a Senior Data Scientist to join a remote-first team in South Africa, contributing to banking and finance analytics. You will design models, build data pipelines, and collaborate with cross-functional teams to drive data-driven decisions from home.

The role requires 5+ years in data science with finance experience, strong Python/R skills, and cloud & big data proficiency. Remote work offers flexibility and growth opportunities within the SA market.

Qualifications

• Advanced degree in a quantitative field (MS/PhD).
• 5+ years as a Data Scientist with Banking & Finance focus.
• Proficient in Python or R and ML libraries.
• Strong SQL and big data (Spark/Hadoop) experience.
• Experience with cloud platforms (AWS/Azure/GCP) is a plus.
• Excellent communication and remote collaboration skills.

Responsibilities

• Develop ML models and statistical algorithms for finance apps.
• Analyze large datasets for trends in markets and customer behavior.
• Collaborate with product, engineers, and analysts to scope projects.
• Build ETL pipelines for training and deployment.
• Create dashboards to monitor KPIs.
• Mentor junior data scientists and share best practices.
• Stay updated with AI/ML advances.

Skills

Python

R

SQL

Machine learning

Big data

Communication

Team collaboration

Education

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

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

AWS

Azure

GCP

Job description

Placements24 is seeking a Senior Data Scientist to join a remote-first team in South Africa, contributing to banking and finance analytics. You will design models, build data pipelines, and collaborate with cross-functional teams to drive data-driven decisions from home.

The role requires 5+ years in data science with finance experience, strong Python/R skills, and cloud & big data proficiency. Remote work offers flexibility and growth opportunities within the SA market.