Senior Associate Data Scientist

Organization :- 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 Associate Data Scientist

Location :- Manyata Tech Park , Bangalore

Business & Team :-

Retail Banking Services (RBS) is the public face of CommBank, delivering a seamless banking experience for the future, to more than 10 million individuals and small businesses. We offer market-leading products and services, supported by some of the world’s best systems and processes.

The Chief Data and Analytics Office (CDAO) group delivers the groups data and AI solutions to ensure the highest levels of customer service through excellent insights, process excellence and AI innovation.

We deliver available, reliable, consistent technology solutions for our internal and external customers, essential tools for our people and innovative product platforms for our customers across the bank.

We put the customer at the center of everything we do and measure our performance against the groups’ external customer satisfaction measures.

Our team is composed of data scientists, engineers, and technology leaders, who bring in the right mix of skills to enable this transformation. We also work very closely with our business and operations colleagues to support these services which are critical to the Australian and Global economy.

Impact & contribution :

The Senior Associate Data Scientist will use technical knowledge and understanding of business domain to deliver moderate or highly complex data science projects independently or with minimal guidance.

You will also engage and collaborate with business stakeholders to clearly articulate findings to solve business problems.

Roles and Responsibilities:

• Analyse complex data sets to extract insights and identify trends.
• Develop AI, ML, predictive models to solve business problems.
• Apply Gen AI, NLP, Computer Vison, Deep Learning, advanced statistical and ML predictive modelling techniques to develop and implement scalable AI solutions, ensuring accuracy and reliability of models.
• Work on deployment of models in production.
• Collaborate with cross-functional teams to understand requirements and deliver AI/ Data Science solutions.
• Clean, preprocess, and manipulate data for analysis through programming.
• Communicate findings and recommendations to stakeholders through reports and presentations.
• Stay updated with industry trends and best practices in AI/ data science.
• Drive innovation by exploring new approaches and techniques for solving complex business problems through data analysis and AI/ ML modelling.
• Contribute to the development and improvement of data infrastructure and processes.
• Continuously learn and enhance skills in AI/ data science techniques and tools.
• Strongly support the adoption of AI/ data science across the organization.
• Identify problems in the products, services and operations of the bank and solve those with innovative research driven solutions.

Essential Skills:

Must have:

• Strong hands-on programming experience in Python (mandatory), R, SQL, Hive and Spark.
• Ability to write well designed, modular and optimized code.
• Knowledge of AI, Deep Learning, Natural Language Processing (NLP), Computer Vision, Large Language Models (LLM), Generative AI (e.g., Open-source models & GTP’s, RAG, Guardrails for fairness / privacy).
• Knowledge and hands-on experience in developing solutions with Large Language Models.
• Must have been part of projects building and deploying AI/ predictive models in production (financial services domain preferred) involving large and complex data sets.
• Model Deployment Experience (MLOps)
• Strong problem solving and critical thinking skills.
• Curious, fast learning capability and team player attitude is a must.
• Innovation mindset. Ability to communicate clearly and effectively.
• Demonstrated expertise through blogposts, research, participation in competitions, speaking opportunities, patents and paper publications.
• Most importantly - ability to identify and translate theories into real applications to solve practical problems.

Good to have:

• Good to have: Knowledge of H2O.ai, GitHub, Big Data and ML Engineering.
• Good to have: Knowledge of Snowflake, AWS, Azure etc.
• Good to have: Solid foundation of Boosted Trees, Time Series, Statistics and core ML algorithms at a mathematical (under the hood) level.
• Good to have: Experience in Data Science in Sales and Marketing, Campaign Analytics, Ecommerce Retail or banking products for retail or business banking is preferred.
• Good to have: Knowledge of commonly used data structures and algorithms.

Qualification:-

• Bachelor’s degree in Engineering Or Master’s degree Or Ph.D. in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Physics.
• More than 5 years of relevant experience.

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.