Senior Associate, Data Scientist, Data Chapter

Job description

Business Function Group Technology and Operations (T&O) 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 T&O, we manage most of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.

Roles & Responsibilities Driving Innovation

We are looking for Data Scientists across different levels to drive our journey towards becoming the most intelligent bank in the world.

Stakeholder Consultation

Consult with business stakeholders to understand complex business challenges and devise robust, data-driven solutions.

End-to-End Delivery

Develop, deploy, and productionise data-driven solutions from initial problem definition to final implementation.

Process Improvement

Continuously refine and enhance existing processes for developing and deploying machine learning solutions.

Opportunity Identification

Identify new opportunities for the bank by analyzing vast amounts of both structured and unstructured data.

Model Development

Build predictive models (cross-sell, up-sell, attrition) to optimize customer management and drive revenue.

Hyper-personalization

Develop and deploy hyper-personalization solutions for the consumer bank.

Accountability & Communication

Act as a proactive owner of assigned tasks, ensuring accountability from inception to completion. Communicate complex technical work to business stakeholders with clarity and without jargon, ensuring alignment and understanding.

Requirements

Experience - 6 - 9.5 years.

Technical Foundations

A solid understanding of statistics, mathematical modeling, and machine learning.

Critical Thinking

Demonstrated ability to analyze complex problems, identify root causes, and propose innovative data-driven solutions.

Gen AI Skills

Practical experience in applying Generative AI frameworks like langchain, langflow, google adk etc and prompt engineering skills to enhance data science workflows and business outcomes.

ML Proficiency

Proven experience building Decision Trees, Random Forest, Gradient Boosting, or other ML methods for both classification and regression problems.

Production Experience

End-to-end experience taking solutions from development into a production environment.

Programming Skills

Ability to program in Python, PySpark, and SQL.

Soft Skills

Proactive & Accountable: A self-starter who takes ownership and accountability for all assigned tasks.

Communication

Exceptional written and verbal communication skills; ability to explain technical outcomes in business-friendly terms, avoiding unnecessary jargon.

Problem-Solving

Strong problem-solving skills, ability to work under pressure, and a positive, resilient attitude.

Learning Agility

A demonstrated ability to self-learn new skills and technologies.

Experience (Good to have)

Experience in analytics and modeling within the banking domain is preferred but not mandatory.

Location

Hyderabad - DTI Skyview SEZ Job: Analytics Schedule: Regular Employee Status: Full time