Data Science Manager

Position- Data Science Manager

Experience- 5-8 yr

Location-Chennai

Working Mode- Hybrid

Skills - 5yr hand on experience in Data Science, AI, Gen AI

Responsibilities:

• Implement the complete analytical section of the product based on the defined
  
  

functional scope, including necessary documentation and prototypes.

• Extract, collate, and cleanse data from various entities.
• Identify suitable databases (SQL/NoSQL) for data storage and various technology
  
  

stacks and libraries for data analysis and processing.

• Implement industry-standard statistical models with Machine Learning and Deep
  
  

Learning algorithms, incorporating predictive and auto-learning capabilities.

• Identify meaningful insights and foresights from data and metadata sources
  
  

based on the models.

• Interpret and communicate findings to the product manager to derive more
  
  

business strategies.

• Visualize various dimensions of data for both web and mobile platforms.
• Showcase output through demos, prototypes, and working systems in regular
  
  

review 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 these

learnings to the product.

• Interface the analytical system with transaction systems for both information
  
  

reporting and to process actionable items derived through analytics.

• Ensure Quality, Security, Performance, Scalability, Reliability, and Availability are
  
  

key 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 Vector
  
  

databases to enhance the intelligence of LLMs and agent performance.

• Stay up-to-date with advancements in AI, including emerging LLM architectures
  
  

and agentic AI frameworks and technologies.

Qualifications:

• Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a
  
  

related quantitative field.

• 5-7 years of experience in data science, with a proven track record of leading and
  
  

implementing data science projects.

• Strong expertise in statistical modeling, machine learning, and deep learning
  
  

algorithms.

• 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 and
  
  

present 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.

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