Digilytics - Data Scientist Lead - LLM Models

Description :

About the Role :

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.

Responsibilities :

- 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

Desired Skills :

- 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

Good to haves :

- Knowledge of emerging techniques for Agentic AI

- Domain knowledge of Financial Services, especially lending

Experience :

- 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

Education Background :

- 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