Senior Data Scientist

Commonwealth Bank

Bengaluru

On-site

INR 2,500,000 - 3,500,000

Full time

14 days+

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Job summary

A leading financial services provider is seeking a Senior Data Scientist in Bengaluru to pioneer generative AI solutions and multi-agent systems. You will lead the development of cutting-edge models and APIs while collaborating with multidisciplinary teams. Ideal candidates possess over 10 years of experience in machine learning and deep learning, and have advanced competencies in scripting and modeling for financial contexts.

Qualifications

10+ years of hands-on experience in Machine Learning, Deep Learning, or Generative AI.
Proficient in building and scaling multi-agent AI systems.
Advanced experience developing and deploying Gen AI APIs.

Responsibilities

Architect and operationalize advanced generative AI solutions.
Lead development and evaluation of LLMs and multi-modal generative models.
Collaborate with product, engineering, and business teams.

Skills

Machine Learning

Deep Learning

Generative AI

Multi-agent frameworks

Prompt engineering

APIs development

Cloud infrastructure management

Open-source contributions

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology

Tools

Fast API

Lang Chain

Lang Graph

Semantic Kernel

MCP

Job description

Direct message the job poster from Commonwealth Bank

At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.

Job Title: Senior Data Scientist

Business & Team: BB Advanced Analytics and Artificial Intelligence COE

Impact & contribution:

As a Senior Data Scientist, you will be instrumental in pioneering Gen AI and multi-agentic systems at scale within CommBank. You will architect, build, and operationalize advanced generative AI solutions—leveraging large language models (LLMs), collaborative agentic frameworks, and state-of-the-art toolchains. You will drive innovation, helping set the organizational strategy for advanced AI, multi-agent collaboration, and responsible next-gen model deployment.

Lead end-to-end development, fine-tuning, and evaluation of state-of-the-art LLMs and multi-modal generative models (e.g., transformers, GANs, VAEs, Diffusion Models) tailored for financial domains.
Multi-Agentic System Engineering:
Architect, implement, and optimize multi-agent systems, enabling swarms of AI agents (utilizing frameworks like Lang chain, Lang graph, and MCP) to dynamically collaborate, chain, reason, critique, and autonomously execute tasks.
LLM-Backed Application Design:
Develop robust, scalable GenAI-powered APIs and agent workflows using Fast API, Semantic Kernel, and orchestration tools. Integrate observability and evaluation using Lang fuse for tracing, analytics, and prompt/response feedback loops.
Guardrails & Responsible AI:
Employ frameworks like Guardrails AI to enforce robust safety, compliance, and reliability in LLM deployments. Establish programmatic checks for prompt injections, hallucinations, and output boundaries.
Enterprise-Grade Deployment:
Productionize and manage at-scale Gen AI and agent systems with cloud infrastructure (GCP/AWS/Azure), utilizing model optimization (quantization, pruning, knowledge distillation) for latency/throughput trade offs.
Leverage and contribute to open source projects in the Gen AI ecosystem (e.g., Lang Chain, Lang Graph, Semantic Kernel, Lang fuse, Hugging face, Fast API). Continuously experiment with emerging frameworks and research.
Stakeholder Collaboration:
Partner with product, engineering, and business teams to define high-impact use cases for Gen AI and agentic automation; communicate actionable technical strategies and drive proof-of-value experiments into production.
Mentorship & Thought Leadership:
Guide junior team members in best practices for Gen AI, prompt engineering, agentic orchestration, responsible deployment, and continuous learning. Represent CommBank in the broader AI community through papers, patents, talks, and open-source.
10+ years of hands-on experience in Machine Learning, Deep Learning, or Generative AI domains, including practical expertise with LLMs, multi-agent frameworks, and prompt engineering.
Proficient in building and scaling multi-agent AI systems using Lang Chain, Lang Graph, Semantic Kernel, MCP, or similar agentic orchestration tools.
Advanced experience developing and deploying Gen AI APIs using Fast API; operational familiarity with Lang fuse for LLM evaluation, tracing, and error analytics.
Experience with transformer architectures (BERT/GPT, etc.), fine-tuning LLMs, and model optimization (distillation/quantization/pruning).
Experience integrating open and commercial LLM APIs and building retrieval-augmented generation (RAG) pipelines.
Familiarity with robust experimentation using tools like Lang Smith, GitHub Copilot, and experiment tracking systems.
Papers, patents, or open-source contributions to the Gen AI/LLM/Agentic AI ecosystem.
Experience with financial services or regulated industries for secure and responsible deployment of AI.