Data Science Architect

(All CAPS intentional)

REQUEST (SPECIFICALLY FOR THOSE WITH 1-2 YEARS OF EXPERINCE): KINDLY READ THE JOB DESCRIPTION BEFORE APPLYING FOR THE ROLE. THIS IS A SENIOR ROLE

Role Responsibilities

• Report to the Head of Data Practice and lead all data-related initiatives and projects.
• Conceive, plan, and prioritize data projects aligned with business strategy and goals.
• Demonstrate direct and indirect business benefits of data projects; actively seek feedback from business stakeholders and senior management to ensure continuous alignment and improvements.
• Manage the complete lifecycle of data projects, from problem definition through to deployment and monitoring.
• Collaborate with business stakeholders to clearly define problem statements, goals, and objectives.
• Lead model building activities:
• Prepare input data and target variables.
• Perform data profiling and pre-processing.
• Develop initial/base models.
• Train, baseline, and productionize models.
• Gather feedback from the business and iterate on model improvements.
• Document models, processes, and outcomes thoroughly.
• Work closely with data engineers and application developers to maintain data cleanliness, integrity, and ensure comprehensive data integration from multiple sources.
• Experiment with new modeling techniques and generative AI frameworks, including deployment of local SLMs; perform cross-validation to ensure model robustness and generalizability.
• Analyze both structured and unstructured data, applying data mining techniques to uncover insights and opportunities that support strategic business decisions.
• Mentor and guide a team of data scientists, data engineers, and BI developers to foster professional growth and high-quality delivery.
• Explore and integrate generative AI technologies (e.g., large language models, generative adversarial networks) to enhance data-driven solutions, automate knowledge extraction, and improve predictive accuracy.

Role Requirements

• 10 to 12 years of strong experience as a Senior or Lead Data Scientist with a proven track record of driving impactful data projects.
• Domain expertise in the financial sector, specifically retail lending in the Indian market.
• Deep understanding of artificial intelligence and machine learning principles, including generative AI models.
• Strong statistical analysis skills with expertise in predictive and prescriptive modeling techniques.
• Proficient in SQL and NoSQL databases, ensuring effective data access and manipulation.
• Good working knowledge of programming languages and tools such as Python, R, and other relevant technologies.
• Experience leveraging generative AI for problem-solving, automation, and enhancing model capabilities is highly desirable.
• Strong leadership skills with the ability to mentor and inspire multidisciplinary teams.