Successful candidates need to be comfortable with working on weekends, and rotation shifts as and when required.
Key Responsibilities:
- Design and implement advanced data science solutions across banking domains, with a focus on automation and integration with enterprise database platforms.
- Lead the automation of end-to-end data science workflows, including data extraction, transformation, modelling, and deployment.
- Work closely with database engineering teams to ensure seamless integration between models and large-scale relational and non-relational databases.
- Champion the development of reusable, scalable ML pipelines for model training, evaluation, monitoring, and retraining.
- Drive AI/ML adoption for use cases like fraud detection, risk scoring, operational efficiency, customer analytics, and more.
- Contribute to data governance and model risk management processes in line with regulatory standards.
- Mentor junior data scientists and contribute to building best practices and a strong data culture.
- Any other ad-hoc duties as assigned by supervisors
Requirements:
- Bachelor's degree in Engineering / Computer Science / Information Technology or related field.
- Around 9 - 12 years of experience and above
- Experience with PL/SQL, Python, Shell Scripting and cloud-based environment.
Interested applicants, please email your resume to Douglas Tan Yu Feng
Email: [Confidential Information]
CEI Reg No: R26160004
EA Licence No: 99C4599
Recruit Express Pte Ltd
