Digilytics - AI/Data Science Lead - Python

5 - 9 years

0 Lacs

Posted:5 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

About Us At Digilytics, we specialize in building and delivering user-friendly AI products tailored to the secured lending and consumer industry sectors. Unlike many other tech solutions, our approach is grounded in a thorough understanding of our clients" business dynamics and the factors that drive or hinder their success. Founded by Arindom Basu, Digilytics is led by a team deeply committed to leveraging cutting-edge technology for sustainable business growth. With a collective experience of over 50 years in technology-driven transformations, our leadership prioritizes values and long-term success. Currently, our primary focus is on developing RevEL, a groundbreaking product aimed at revolutionizing loan origination processes for mortgages and secured lending. Additionally, we are working on RevUP, a product designed to enhance trade sales for consumer industry clients such as auto and FMCG companies. About The Role The role we are offering involves a unique blend of business acumen, data science expertise, and proficiency in digital and analytics technologies to drive profitable growth. Key responsibilities include: - Understanding the underlying factors that contribute to or detract from business value - Utilizing data science techniques to extract insights from both internal and external data sources - Implementing digital and analytics technologies to create scalable and user-friendly solutions Digilytics is currently in the process of developing an AI-enabled product, RevEL, with a focus on enhancing credit lending operations for lenders in the UK and US markets, with plans for expansion to other regions in the future. We are seeking a talented individual with a passion for data science and python engineering, who possesses the skills to research, design, and deploy AI models using python and cloud-based technologies. The ideal candidate should be enthusiastic about contributing to a growing company and have relevant industry experience to make a meaningful impact on our platform and products. Skills The role requires a diverse skill set, and we are specifically looking for a strong communicator with extensive experience in data science techniques and python engineering. As part of the product engineering team, the successful candidate will: - Embrace the Digilytics vision and stay updated on the latest advancements in AI - Collaborate with the product engineering leader to architect and develop python-based applications - Demonstrate proficiency with tools such as Pytorch, Django/Flask, and API development - Be familiar with innovative techniques like Open Weighted LLM+RAG and Agentic AI MCP framework - Lead a team of data scientists and python developers to drive excellence across our global operations in India, UK, and US - Engage with various stakeholders and coordinate with teams across different regions Experience We are looking for a candidate with the following qualifications and experience: - Demonstrated ability to work in diverse organizational settings, ranging from small setups to larger corporations with multicultural exposure - Experience in managing teams of 10-15 resources - 5-7 years of hands-on experience in client-facing roles or technology product environments, with a focus on deploying models - Proficiency in software skills relevant to data science - Understanding of computational analysis, search, and machine learning techniques - Familiarity with analytics tools and landscape - Domain expertise in serving customers within the Financial Services sector - Proven track record of architecting machine learning pipelines for production environments Background Candidates for this role should possess the following educational background and qualifications: - Bachelor's degree or higher in Software Engineering or Computer Science, with a strong emphasis on python programming - Formal training in AI technologies and financial services domain will be advantageous Please note: The job description mentioned above is referenced from hirist.tech,

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