Data Scientist

Description:

We are seeking experienced and visionary Data Scientists to lead the development and deployment of advanced AI/ML solutions that directly impact business performance. In this strategic role, you will drive high-value projects focused on cost optimization, revenue growth, and operational excellence. Youll serve as a key contributor to our foundational AI capabilities while championing responsible, ethical AI practices.

As a trusted advisor to leadership, you will shape the organizations AI strategy and play a pivotal role in transforming data into actionable intelligence.

Key Responsibilities:

- Deliver cutting-edge AI/ML models and tools to accelerate strategic business objectivessuch as cost savings, process optimization, and new revenue generation

- Lead the development of advanced AI solutions across domains including time series forecasting, reinforcement learning, graph-based algorithms, optimization, and conversational AI

- Contribute to the Foundation Model Task Force, helping shape 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 on the leading edge of AI innovation by continuously evaluating emerging trends, frameworks, and technologies

- 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

Requirements:

- 4-8 years of experience in data science or machine learning roles, with a track record of leading complex, high-impact projects

Deep expertise in AI/ML techniques including:

- Time series forecasting

- Reinforcement learning

- Optimization algorithms

- Speech and conversational AI (e.g., LLMs, NLP, ASR)

- Proficiency in Python, R, or similar programming languages; experience with data visualization and analytical tooling

- Proven ability to drive measurable business results through AI-driven insights

- Strong leadership, communication, and stakeholder management skills

- Strategic mindset with the ability 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 & graduates & post-graduates from premium institutes(IIM, IIT, etc)would be more 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