Role : Sr. Data Scientist
Location : Kuala Lumpur
Payroll : Skill Quotient
Job Type: Permanent
Experience : 12+ years
Required Skills & Competencies
- Strong proficiency in machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) and data analytics tools (e.g., Python, R, SQL).
- Deep understanding of big data platforms and cloud-based data ecosystems (e.g., Hadoop, Spark, Databricks, Azure/GCP/AWS).
- Excellent business acumen with ability to translate analytics into strategic insights.
- Strong leadership, stakeholder management, and communication skills.
- Familiarity with data privacy, model governance, and ethical AI principles.
- Agile delivery methodologies and experience with product lifecycle management in analytics projects.
Education / Qualification
- Bachelor's or Master’s degree in Computer Science, Data Science, Mathematics, Statistics,
Engineering, or a related field
- Minimum of 8–10 years of experience in data science, advanced analytics, or AI/ML roles, with at least 3 years in a leadership or managerial capacity.
- Proven track record of delivering analytics-driven business outcomes in financial services or banking industry.
- Experience working in a regulated environment with exposure to data governance and risk compliance.
- Professional certifications in Data Science or Machine Learning
- Certification in cloud platforms (AWS, Azure, GCP) is advantageous.
- Compliance with any internal/regulatory model validation or risk certifications (where required by local regulation or internal governance)
Pay: RM10,000.00 - RM15,000.00 per month
Application Question(s):
- What is your current salary?
- What is your current notice period?
Experience:
- FSLDM model understanding: 1 year (Required)
- Reporting: 5 years (Required)
- SQL: 2 years (Required)
- Data Warehouse: 5 years (Required)
Work Location: In person