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Manager, Data Science

Standard CharteredBengaluru, Karnataka, IndiaPosted 20 May 2026

The Data Science Manager will join the AAIOps team at Standard Chartered to shape the MLOps ecosystem for data and AI roles. Responsibilities include building robust data pipelines, operationalizing AI/ML models at scale, and collaborating with cross-functional stakeholders. The role requires proficiency in Python, PySpark, and MLOps practices within a big data environment. This is a strategic role focused on simplifying the bank's data technology stack.

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Experience

2-4 years

Function

Engineering

Work mode

Hybrid, India

Company

Tier 2

What you will work on

The Data Science Manager will join the AAIOps team at Standard Chartered to shape the MLOps ecosystem for data and AI roles. Responsibilities include building robust data pipelines, operationalizing AI/ML models at scale, and collaborating with cross-functional stakeholders. The role requires proficiency in Python, PySpark, and MLOps practices within a big data environment. This is a strategic role focused on simplifying the bank's data technology stack.

TAL's take

Quality 60/1004/5 clarityTier 2 company

Solid multinational role in fintech with clear MLOps focus, though title is somewhat generic.

Clear focus on MLOps ecosystem and data engineering pipelines within a specific business unit.

Salaries at Standard Chartered

22.6 LPA average

Based on 90 Grapevine salary entries for Standard Chartered.

View all salaries

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

  • Bachelor's degree in computer science, engineering or data science
  • Proficiency in Python and PySpark
  • Knowledge of Azure DevOps
  • Understanding of machine learning model lifecycle and deployment
  • Experience in warehousing, ELT/ETL processes, and SQL

Tools and skills

pythonpysparksqlazure devopsmlopsetlelt

Nice to have: databricks, dataiku, aws, azure, gcp, gen ai, llmops.

About the company

Global multinational bank, established but not considered a tech-first tier 1 firm.

Posts mentioning Standard Chartered