Sr. Data Scientist

In this role as a Data Scientist, you will be responsible for leading the development and deployment of advanced AI/ML solutions that directly impact business performance. You will drive high-value projects focused on cost optimization, revenue growth, and operational excellence. As a key contributor to foundational AI capabilities, you will champion responsible and ethical AI practices. You will also act as a trusted advisor to leadership, shaping the organization's AI strategy and transforming data into actionable intelligence. Key Responsibilities: - Deliver cutting-edge AI/ML models and tools to accelerate strategic business objectives such as cost savings, process optimization, and new revenue generation. - Lead the development of advanced AI solutions across various domains including time series forecasting, reinforcement learning, graph-based algorithms, optimization, and conversational AI. - Contribute to the Foundation Model Task Force, shaping scalable AI architectures leveraged across multiple business functions. - Translate complex AI concepts into business strategies, ensuring initiatives are outcome-focused and aligned with organizational goals. - Collaborate cross-functionally with product leaders, domain experts, engineers, and business stakeholders to integrate AI into key decision workflows. - Advocate for responsible and ethical AI practices, ensuring compliance with data governance, regulatory standards, and model transparency. - Stay updated on AI innovation by evaluating emerging trends, frameworks, and technologies continuously. - Define and manage key performance indicators (KPIs) to track the impact and success of AI/ML initiatives. - Promote a culture of innovation, technical rigor, and continuous improvement within the AI team. Qualifications Required: - 4-8 years of experience in data science or machine learning roles, with a proven track record of leading complex, high-impact projects. - Deep expertise in AI/ML techniques including time series forecasting, reinforcement learning, optimization algorithms, and speech/conversational AI. - Proficiency in Python, R, or similar programming languages, along with experience in data visualization and analytical tooling. - Ability to drive measurable business results through AI-driven insights. - Strong leadership, communication, and stakeholder management skills. - Strategic mindset with the capability to align technical initiatives with business goals. - Advanced degree (Masters or PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. - Candidates with CFA certification and graduates/post-graduates from premium institutes (IIM, IIT, etc.) would be preferred. Preferred Qualifications: - Experience in developing or fine-tuning foundation models or LLMs. - Familiarity with AI governance and regulatory compliance frameworks. - Exposure to production-grade ML deployment and MLOps practices. - Prior experience in finance, insurance, or regulated industries. Please note that this is a full-time, permanent position with benefits including health insurance and provident fund. The work location for this role is in person.,