Data Science Manager

Position- Data Science ManagerExperience- 5-8 yrLocation-ChennaiWorking Mode- HybridSkills - 5yr hand on experience in Data Science, AI, Gen AI

Responsibilities

:• Implement the complete analytical section of the product based on the definedfunctional scope, including necessary documentation and prototypes.• Extract, collate, and cleanse data from various entities.• Identify suitable databases (SQL/NoSQL) for data storage and various technologystacks and libraries for data analysis and processing.• Implement industry-standard statistical models with Machine Learning and DeepLearning algorithms, incorporating predictive and auto-learning capabilities.• Identify meaningful insights and foresights from data and metadata sourcesbased on the models.• Interpret and communicate findings to the product manager to derive morebusiness strategies.• Visualize various dimensions of data for both web and mobile platforms.• Showcase output through demos, prototypes, and working systems in regularreview meetings.• Continuously refine models for accuracy.• Analyze, review, and track trends and tools in Data Sciences, Machine Learning,Artificial Intelligence, and Augmented Intelligence, and appropriately apply theselearnings to the product.• Interface the analytical system with transaction systems for both informationreporting and to process actionable items derived through analytics.• Ensure Quality, Security, Performance, Scalability, Reliability, and Availability arekey factors in the implementation of the analytics system.• Deploy and train various Large Language Models (LLMs) for AI agents and domain-specific applications.• Implement Retrieval Augmented Generation (RAG) pipelines along with Vectordatabases to enhance the intelligence of LLMs and agent performance.• Stay up-to-date with advancements in AI, including emerging LLM architecturesand agentic AI frameworks and technologies.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or arelated quantitative field.• 5-7 years of experience in data science, with a proven track record of leading andimplementing data science projects.• Strong expertise in statistical modeling, machine learning, and deep learningalgorithms.• Proficiency in programming languages such as Python or R.• Experience with SQL/NoSQL databases and big data technologies.• Familiarity with data visualization tools.• Experience with LLMs, RAG pipelines, and vector databases is highly desirable.• Excellent communication and interpersonal skills, with the ability to interpret andpresent complex data insights to non-technical stakeholders.• Ability to work independently and collaboratively in a fast-paced environment.• Experience in the banking domain is an added advantage.