Senior Data Scientist - FinTech (Remote, High Impact)

Placements24; Mossel Bay; Hybrid; ZAR 900,000 - 1,700,000; Full time

Benefits offered by this job

Remote work flexibility within SA

Stock options

Professional development budget

Health & wellness benefits

Job summary

Placements24 is seeking a Senior Data Scientist for a fintech-focused role in Mossel Bay, Western Cape. You will design and deploy production ML models, build robust data pipelines, and collaborate with cross-functional teams to tackle customer behavior, risk, and fraud challenges.

You will leverage Python or R, SQL, and big data tools to extract insights and drive data-driven decisions, with autonomy to shape strategy and governance within the business.

Qualifications

• Master’s degree or PhD in a quantitative field.
• 5+ years of professional Data Scientist experience, fintech preferred.
• Proficiency in Python or R and ML libraries (scikit-learn, TensorFlow, PyTorch, Pandas).
• Strong SQL and big data tech (Spark, Hadoop).

Responsibilities

• Design, develop, and implement ML models for forecasting, risk assessment, and fraud detection.
• Perform in-depth data analysis and exploratory data analysis (EDA).
• Build and maintain data pipelines for ingestion, cleaning, and transformation.
• Collaborate with product managers, engineers, and business analysts to define DS requirements and goals.
• Communicate complex findings clearly to technical and non-technical audiences.
• Stay updated on advancements in data science and ML/AI.
• Develop and deploy models into production and monitor performance.

Skills

Python

R

SQL

Machine Learning

Big Data

Data Visualization

Pandas

scikit-learn

TensorFlow

PyTorch

Education

Master's degree or PhD in Computer Science, Statistics, Mathematics, Data Science, or related field

Tools

Pandas

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Job description

Placements24 is seeking a Senior Data Scientist for a fintech-focused role in Mossel Bay, Western Cape. You will design and deploy production ML models, build robust data pipelines, and collaborate with cross-functional teams to tackle customer behavior, risk, and fraud challenges.

You will leverage Python or R, SQL, and big data tools to extract insights and drive data-driven decisions, with autonomy to shape strategy and governance within the business.