Assistant Vice President, Specialist Data Scientist, Transformation and Data

DBS Bank; Mumbai; On-site; INR 900,000 - 1,500,000; Full time

Job summary

DBS Bank (Indonesia) in Mumbai seeks a data science professional to develop and deploy end-to-end ML models and GenAI solutions. You will collaborate across business units to drive value from data, building scalable models that integrate into production environments.

Ideal candidates bring hands-on experience with GenAI, LLMs, Python/SQL, cloud platforms, and ML frameworks, with a banking/finance background and strong analytical skills.

Qualifications

• Degree in Data Science, CS, Statistics or Mathematics.
• Proven experience in data science and model development.
• Prior experience in banking/financial services.
• Experience with GenAI technologies, LLMs, and PoC evaluations.
• Proficiency in Python or R and SQL.
• Familiarity with ML frameworks and cloud platforms (AWS, GCP, Azure).

Responsibilities

• Collaborate with DBS units to identify data-driven opportunities across banking processes.
• Design, build and deploy end-to-end ML models from data ingestion to production.
• Lead GenAI PoC initiatives and evaluate feasibility and performance.
• Perform complex data analyses, feature engineering, and statistical modeling.
• Establish evaluation frameworks to monitor model performance and improvements.
• Partner with data engineers and IT teams to integrate models into production environments.

Skills

Data science

Python

SQL

Machine learning

GenAI

LLMs

Cloud platforms

Education

Data Science degree

Tools

scikit-learn

TensorFlow

PyTorch

AWS

GCP

Azure

Job description

Business Function Group Operations enables and empowers the bank with an efficient, nimble, and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group Operations, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels. As an Operations Department, we embrace and reinforce the strong PRIDE! culture that is built up in DBS. This is done through strategic focus on training and improving staff capability, empowerment, productivity, teamwork, innovation & technology, managing operational risks & strongly collaborating with our business partners in delivering excellent RED service to our customers.

Business Function Group Operations enables and empowers the bank with an efficient, nimble, and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group Operations, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels. As an Operations Department, we embrace and reinforce the strong PRIDE! culture that is built up in DBS. This is done through strategic focus on training and improving staff capability, empowerment, productivity, teamwork, innovation & technology, managing operational risks & strongly collaborating with our business partners in delivering excellent RED service to our customers.

Responsibilities

• Collaborate with business units across DBS to identify opportunities where data science and machine learning can drive business value and optimize banking processes.
• Design, build, and deploy robust machine learning models, focusing on end-to-end model development from data ingestion to production.
• Lead the development and execution of Generative AI (GenAI) Proof of Concept (POC) initiatives, evaluating their feasibility, performance, and alignment with business goals.
• Perform complex data analysis, feature engineering, and statistical modeling to extract actionable insights from large-scale banking datasets.
• Establish evaluation frameworks and metrics to monitor, validate, and continuously improve the performance of deployed models and GenAI solutions.
• Partner with data engineers and IT teams to integrate data science models into scalable, secure production environments.

Requirements

• Degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience in data science and hands-on model development within a professional environment.
• Prior experience or strong domain knowledge in the banking or financial services industry.
• Demonstrated experience with Generative AI (GenAI) technologies, Large Language Models (LLMs), and conducting POC evaluations.
• Proficiency in programming languages such as Python or R, and strong SQL skills for data extraction and manipulation.
• Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and cloud platforms (e.g., AWS, GCP, or Azure).
• Strong analytical and problem-solving skills, with the ability to present complex technical concepts to diverse stakeholders.

Location

Mumbai

Job

Analytics

Schedule

Regular

Employee Status

Full time