Job Description
A Dream Opportunity
Data Scientist Architect - Banking Products with MNC Travel Must
We are seeking an experienced Data Scientist Architect to lead our data-driven initiatives in the banking sector. The ideal candidate will bridge the gap between business needs and technical solutions, creating robust and scalable data architectures that support advanced analytics and machine learning.
The candidate must have a proven track record of developing end-to-end data science solutions within a financial institution, ensuring projects are not only technically sound but also aligned with banking-specific regulations and business objectives.
Key Responsibilities:
• Design and architect enterprise-level data platforms, pipelines, and machine learning models.
• Translate complex business requirements from banking operations into technical data science solutions.
• Develop, deploy, and manage machine learning and AI models in a production environment, ensuring scalability, performance, and reliability.
• Collaborate with data engineers, IT teams, and business stakeholders to ensure data is efficiently collected, stored, and managed.
• Establish data governance, quality, and security standards in compliance with banking regulations (e.g., Basel III, IFRS 9).
• Mentor and guide junior data scientists on best practices in data modeling, algorithm development, and solution architecture.
Data Scientist Architect - Banking Products with MNC Travel Must
We are seeking an experienced Data Scientist Architect to lead our data-driven initiatives in the banking sector. The ideal candidate will bridge the gap between business needs and technical solutions, creating robust and scalable data architectures that support advanced analytics and machine learning.
The candidate must have a proven track record of developing end-to-end data science solutions within a financial institution, ensuring projects are not only technically sound but also aligned with banking-specific regulations and business objectives.
Key Responsibilities:
• Design and architect enterprise-level data platforms, pipelines, and machine learning models.
• Translate complex business requirements from banking operations into technical data science solutions.
• Develop, deploy, and manage machine learning and AI models in a production environment, ensuring scalability, performance, and reliability.
• Collaborate with data engineers, IT teams, and business stakeholders to ensure data is efficiently collected, stored, and managed.
• Establish data governance, quality, and security standards in compliance with banking regulations (e.g., Basel III, IFRS 9).
• Mentor and guide junior data scientists on best practices in data modeling, algorithm development, and solution architecture.
💡 Quick Summary
Seeking a career-building opportunity? The Data Science Architect position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in New Delhi offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
