Associate Director, Data Science
This role at Standard Chartered focuses on building and maintaining a robust MLOps ecosystem to operationalize AI/ML models at scale. The successful candidate will drive data workflows using Python and PySpark while collaborating with cross-functional teams including Data Scientists and Enterprise Technology. The position requires end-to-end project ownership and ensuring compliance with strict model risk and governance standards. It is a senior-level position centered on data infrastructure and pipeline optimization.
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Experience
6-8 years
Function
Engineering
Work mode
Hybrid, India
Company
Tier 2
What you will work on
This role at Standard Chartered focuses on building and maintaining a robust MLOps ecosystem to operationalize AI/ML models at scale. The successful candidate will drive data workflows using Python and PySpark while collaborating with cross-functional teams including Data Scientists and Enterprise Technology. The position requires end-to-end project ownership and ensuring compliance with strict model risk and governance standards. It is a senior-level position centered on data infrastructure and pipeline optimization.
TAL's take
Solid tier-2 global bank role with clear MLOps ownership and cross-functional responsibilities.
Very clear scope regarding MLOps ecosystem development, stack, and cross-functional stakeholder collaboration.
Salaries at Standard Chartered
22.6 LPA average
Based on 90 Grapevine salary entries for Standard Chartered.
Engineering
0 - 2 years | 8A
12 LPA average
Range: 7 - 17 LPA
Engineering
2 - 4 years | 8A
14 LPA average
Range: 11 - 20 LPA
Engineering
4 - 6 years | L7
20 LPA average
Range: 11 - 35 LPA
Engineering
10 - 12 years | 8A
48 LPA average
Range: 48 - 48 LPA
Must haves
- 6-8 years of overall work experience
- Proficiency in Python and PySpark
- Knowledge of Azure DevOps
- Experience in warehousing and ETL processes
- Understanding of machine learning concepts and lifecycle management
Tools and skills
Nice to have: dataiku, databricks, aws, azure, gcp, llmops.
About the company
Global bank with established presence but not a top-tier tech-first engineering firm.
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