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 applicationsHave hands on experience with Pytorch, Django / Flask, API developmentHave experience with emerging techniques like Open Weighted LLM+RAG, Agentic AI MCP frameworkResponsible for the design, engineering and productionisation of all data science components of the Digilytics platform, and products like RevELLead a team of data scientists and python developers and create a high-performance global team across India, UK & USLiaise with multiple stakeholders and coordinate with our teams in UK, US and IndiaDesired Skills :
Ability to both work in and lead a team and to deliver and accept peer reviewExperience with GenAI techniques, ML, NLP & Computer VisionStrong Python programming skills and deep understanding of how to develop scalable python programs deployed in multi-node cloud environmentsDirect experience with deploying machine learning models into live operations through a technology platformTest performance of data driven product / modelsGood interpersonal skills and the ability to communicate ideas clearly at all levelsAbility to work in unfamiliar business areas and to use your skills to create solutionsGood to haves :
Knowledge of emerging techniques for Agentic AIDomain knowledge of Financial Services, especially lendingExperience :
A strong mind set with proven experience working in both smaller and larger organisations having multicultural exposureExperience with managing teams of 10-15 resources7-10 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 techniquesGood Understanding of analytics tools and landscape - Domain and industry experience by serving customers in Financial ServicesProven experience of architecting machine learning pipeline to productionExperience at various stages of Software-Development LifecycleEducation 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(ref : hirist.tech)