Senior/Lead Data Scientist - AI/ML

Role Overview : A hands-on Applied AI leader to both build AI systems and drive enterprise adoption . To work closely with the Leadership Team, and functional leaders to design, deliver, and embed AI into core workflows across insurance value chain including sales, underwriting, and operations. To identify high-impact opportunities, translate business problems into AI solutions, and ensure successful deployment and adoption of AI systems. Key Focus Areas : - Own end-to-end delivery of AI systems, from problem framing to production and adoption. - Translate business problems into analytical / AI problem statements and architect complete solutions. - Hands-on design and development of ML/GenAI driven workflows. - Own AI products end-to-end, driving change management and adoption to embed AI into workflows across the value chain. - Track impact and continuously improve models and processes. - Lead by example in execution while mentoring engineers and data scientists. Qualifications & Competencies : - A first-principles problem solver who challenges the status quo, thinks creatively, and has a strong bias for action. - 10 - 12+ years of strong hands-on experience in Advanced Analytics, Data Science, Predictive Modelling, and Deep Learning. - Proven ability to translate business problems into AI/analytics use cases and solution blueprints. - Ability to influence without authority across business and tech teams. - Strong at embedding AI into workflows and driving adoption. - Excellent executive storytelling using data, can explain complex Analysis and AI simply to CxOs. - Solid understanding of statistics, machine learning, and model evaluation techniques. - Strong proficiency in Python, SQL , and ML/DL libraries (PyTorch/TensorFlow, scikit-learn, etc.). - Proven experience with LLMs : prompt engineering, fine-tuning (LoRA/PEFT), RAG, agents, and orchestration frameworks (LangChain, LlamaIndex, or similar). - Experience with NLP, text mining, speech AI (ASR/STT, TTS), and conversational AI pipelines. - Experience with computer vision and video models , embeddings, and familiarity with transformer-based video architectures (e.g., VideoMAE, TimeSformer, etc.). - Experience building multimodal systems combining text, voice, vision, and structured data for decisioning. - Experience in designing system architectures that combine models, APIs, and workflows. - Experience deploying AI systems on cloud platforms ( AWS/Azure/GCP ); strong exposure to AWS services (Lambda, S3, SNS, SQS, EC2, RDS, KMS, SageMaker). - Familiarity with Docker, Kubernetes , CI/CD, and scalable inference pipelines. - Experience in Insurance, BFSI, FinTech, or HealthTech preferred. - Exposure to digital analytics platforms (e.g., Google Analytics, BigQuery) is a plus. - Bachelors or Master's degree in Engineering, Technology, Statistics, Data Science, or related fields from a reputed institute; MBA is a plus.