Senior Associate Data Scientist (cba)

Job Description

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, tar

gets, 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.

For its cutting edge research and innovation and maturity in using Artificial Intelligence, CBA is named the #1 Asia Pacific bank and ranked 6th globally in the Evident AI Index for banks (https://www.evidentinsights.com/ai-index/), a global standard benchmark of Artificial Intelligence (AI) maturity. CBA was also ranked joint #1 globally for its Responsible AI leadership.

Job Title: Senior Associate Data Scientist

Location: Bangalore

Business & Team: CDAO Decision Science

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 & Responsibilities:

• Analyse complex data sets to extract insights and identify trends.
• Develop predictive models and algorithms to solve business problems.
• Work on deployment of models in production.
• Collaborate with cross-functional teams to understand requirements and deliver data-driven 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 data science.
• Contribute to the development and improvement of data infrastructure and processes.
• Design experiments and statistical analysis to validate hypotheses and improve models.
• Continuously learn and enhance skills in data science techniques and tools.
• Strongly support the adoption of 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:

• Strong hands-on programming experience in Python (mandatory), R, SQL, Hive and Spark.
• More than 3 years of relevant experience.
• Ability to write well designed, modular and optimized code.
• Knowledge of H2O.ai, GitHub, Big Data and ML Engineering.
• Knowledge of commonly used data structures and algorithms.
• Solid foundation of Statistics and core ML algorithms at a mathematical (under the hood) level.
• Good to have: Knowledge of Time Series, NLP and Deep Learning and Generative AI is preferred.
• Good to have: Knowledge and hands-on experience in developing solutions with Large Language Models.
• Must have been part of projects building and deploying predictive models in production (financial services domain preferred) involving large and complex data sets.
• Experience in Data Science in Sales and Marketing, Campaign Analytics, Ecommerce Retail or banking products for retail or business banking is preferred.
• Strong problem solving and critical thinking skills.
• Curious, fast learning capability and team player attitude is a must.
• 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.

Education Qualifications:

• 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.