Senior Data Scientist

Get AI-powered advice on this job and more exclusive features.

Direct message the job poster from Edison Smart®

Join a fast-growing fintech company driving a major AI‑led transformation. The focus is on building next‑generation platforms for fraud detection, credit risk assessment, real‑time decisioning, and financial forecasting.

This initiative is replacing legacy, rule‑based systems with machine learning‑driven intelligence to enhance transaction monitoring, customer risk profiling, liquidity and demand forecasting, and payment decisioning across millions of daily events.

We’re seeking a Senior Machine Learning Engineer to lead the design, development, and deployment of real‑time ML and forecasting solutions. You’ll collaborate closely with data engineers, platform teams, product owners, and compliance stakeholders to build scalable ML systems embedded directly into live fintech workflows.

• 5+ years of experience in Machine Learning Engineering, AI Engineering, or Applied Data Science (experience in fintech, banking, payments, or financial services preferred).
• Design, build, and product ionize fraud detection, anomaly detection, transaction monitoring, credit risk, and forecasting models.
• Develop time‑series forecasting models for demand, liquidity, transaction volume, and customer behaviour prediction.
• Build real‑time and batch ML pipelines using Python, PySpark, and modern cloud‑based data stacks.
• Implement MLOps best practices including CI/CD, model versioning, monitoring, and retraining pipelines.
• Work with streaming technologies such as Kafka.
• Proficient in Python, SQL, PySpark, CI/CD, and Cloud platforms (AWS, GCP, Azure).
• Excellent communication skills with both technical and business stakeholders.

If this sounds like the right opportunity, please apply with an updated CV.

Mid-Senior level

Contract

Engineering and Information Technology

Referrals increase your chances of interviewing at Edison Smart® by 2x