Data Scientist - AI | Bangalore, IN

Future Talent: Data Scientist / Lead Data Scientist - AI (Talent Community - India) Location: Bengaluru Position Type: Future Opening - Talent Pipeline The Opportunity We are continuously searching for exceptional Data Scientists and AI Specialists across India to help us build innovative AI-powered solutions that transform financial markets and empower decision-making at scale. While we may not have an immediate opening today, this dedicated Data Science & AI Talent Community allows us to engage with high-calibre professionals early and connect them with future opportunities as our teams grow. Candidates in our talent community may be considered for Data Scientist, Senior Data Scientist, and Lead Data Scientist opportunities aligned to their skills and experience. By joining our AI talent network, you'll gain insight into our engineering culture, AI innovation strategy, and future opportunities while positioning yourself for accelerated consideration when relevant roles become available.

(When You Join Us) As a Data Scientist, you will work on high-impact AI and machine learning solutions that move beyond experimentation into scalable production environments. Build AI Solutions • Develop and deploy production-grade AI and machine learning solutions using modern Generative AI technologies such as OpenAI, Gemini, and other advanced LLM platforms. • Design data-driven models that solve complex business and customer challenges. • Apply statistical and machine learning techniques to extract insights from large-scale datasets. Optimize & Innovate • Tune, evaluate, and enhance AI models to improve accuracy, scalability, efficiency, and business impact. • Assess emerging AI technologies and third-party solutions against functional and non-functional

. • Establish and maintain strong model evaluation, monitoring, and governance standards. Collaborate • Partner closely with engineering, product, business, and research teams to define AI roadmaps and deliver measurable outcomes. • Translate complex analytical findings into actionable recommendations for technical and non-technical stakeholders. • Contribute to solution design discussions and best-practice initiatives across teams. Lead & Grow • Drive technical excellence through coding standards, model governance, and knowledge sharing. • Mentor peers and contribute to data science communities, innovation forums, and technical discussions. • Support the adoption of modern AI engineering and MLOps practices.