GDNA - Senior Data Scientist

Job Purpose

The role focuses on implementing data science solutions and best practices while managing their lifecycle within a business unit. It involves translating business needs into technical solutions, ensuring data quality, and optimizing analytical workflows to drive innovation and efficiency.

Business Dimensions (as applicable) (Add Rows as needed)

Number of group businesses & functions to work with including new age businesses

Number of AI Models Deployed & Continuously Improved

Number of distinct KPIs impacted

Indirect influence across ABG (beyond GDNA)

Hands-on and deep experience of DE/DS languages and tools

Job Context

This role is responsible for driving the execution of AI and Data initiatives within a business unit, ensuring seamless integration with strategic objectives. It involves working closely with stakeholders to design, deploy, and operationalize data-driven innovative solutions while ensuring measurable business impact. The role emphasizes structured project execution, continuous improvement, and model scalability, ensuring AI solutions are effectively adopted by business teams. Additionally, the role plays a key part in mentoring junior team members, fostering AI & Data skill development, and overseeing the successful Build-Operate-Transfer (BOT) of AI solutions for long-term sustainability.

The difficulty this role faces is to learn multiple technology fast.

PrincipalAccountabilities (Add Rows as needed)

Advanced Data Science & AI Implementation

End-to-End Solution Development

Experimentation & Continuous Improvement

Technical Leadership & Best Practices

Cross-Team Collaboration & Stakeholder Management

Scalable AI Solutions & Reusability

Business KRA (as applicable) (Add Rows as needed)

Non-Monetary

Decision making & augmentation

AI Capability