Senior Data Scientist, FinTech - Remote & Flexible Hours

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

Benefits offered by this job

Competitive salary and incentives

Fully remote work environment

Job summary

Unknown company is seeking an experienced Senior Data Scientist with fintech specialization to join a fully remote, innovative team. You will build and deploy predictive models, drive data-driven product development, and influence strategic decisions from any location.

The role emphasizes collaboration with engineers, product managers, and stakeholders, mentorship of junior data scientists, and a focus on cutting-edge analytics and learning within a remote-first culture.

Qualifications

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science, with a fintech focus.
• Proficiency in Python or R and libraries such as TensorFlow, PyTorch, scikit-learn.
• Experience with big data technologies (Spark, Hadoop) and SQL.
• Proven track record of developing and deploying ML models in production.

Responsibilities

• Design, develop, and implement ML models for fraud detection, risk assessment, and customer behavior.
• Extract, clean, and transform large financial datasets from multiple sources.
• Collaborate with engineers to deploy models into production.
• Communicate complex analytics findings to technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to the team's technical roadmap.
• Conduct exploratory data analysis to identify data-driven opportunities.

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

Job description

Unknown company is seeking an experienced Senior Data Scientist with fintech specialization to join a fully remote, innovative team. You will build and deploy predictive models, drive data-driven product development, and influence strategic decisions from any location.

The role emphasizes collaboration with engineers, product managers, and stakeholders, mentorship of junior data scientists, and a focus on cutting-edge analytics and learning within a remote-first culture.