Digilytics - Data Scientist Lead - LLM Models

Overview

The convergence of business know-how, data science and digital & analytics technologies to drive profitable growth

• Business Understanding of what creates & what destroys business value
• Data Science to explore new ways to draw insights from internal & external data
• Digital & Analytics technology to make the solution easy to use, sustain & scale.
  
  

• Understand the Digilytics vision and the latest developments in AI and work closely with the product engineering leader to architect and develop python-based applications
• Have hands on experience with Pytorch, Django/ Flask, API development
• Have experience with emerging techniques like Open Weighted LLM+RAG, Agentic AI MCP framework
• Responsible for the design, engineering and productionisation of all data science components of the Digilytics platform, and products like RevEL
• Lead a team of data scientists and python developers and create a high-performance global team across India, UK & US
• Liaise with multiple stakeholders and coordinate with our teams in UK, US and India
  
  

• Ability to both work in and lead a team and to deliver and accept peer review
• Experience with GenAI techniques, ML, NLP & Computer Vision
• Strong Python programming skills and deep understanding of how to develop scalable python programs deployed in multi-node cloud environments
• Direct experience with deploying machine learning models into live operations through a technology platform
• Test performance of data driven product/models
• Good interpersonal skills and the ability to communicate ideas clearly at all levels
• Ability to work in unfamiliar business areas and to use your skills to create solutions
  
  

• Knowledge of emerging techniques for Agentic AI
• Domain knowledge of Financial Services, especially lending
  
  

• A strong mind set with proven experience working in both smaller and larger organisations having multicultural exposure
• Experience with managing teams of 10-15 resources
• 7-10 years of experience working closely with clients or technology products, and providing recommendations and solutions. Must know how to deploy models.
• Well-developed software skills relevant to data science domain - Understanding of computational analysis, search and / or machine learning techniques
• Good Understanding of analytics tools and landscape - Domain and industry experience by serving customers in Financial Services
• Proven experience of architecting machine learning pipeline to production
• Experience at various stages of Software-Development Lifecycle
  
  

• A Bachelor degree, or higher, in Software Engineering and Computer Science with strong python programming content.
• Formal training in related AI technology disciplines and financial services domain would be valued
  
  

(ref:hirist.tech)