Data Science Architect - Python / R

Excellent Opportunity

Data Scientist Architect - Banking Products with MNC Travel Must

We are looking for an experienced Data Scientist Architect with a strong background in the banking industry to lead the design and implementation of our data-driven initiatives. 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 :

• Lead the design and architecture of enterprise-level data platforms, pipelines, and machine learning models.
• Translate complex business requirements from banking operations (e.g., fraud detection, credit risk, customer segmentation) 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.

Required Skills & Qualifications :

(ref : hirist.tech)