Chief Data Scientist - Predictive Modeling

Job Description :

- 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 Masters degree in Engineering, Technology, Statistics, Data Science, or related fields from a reputed institute; MBA is a plus.