Senior/Lead Data Scientist | 5-10 Yrs | Bangalore | Immediate

Bandhan Technologies Private Limited; Bengaluru; On-site; INR 6,000,000 - 12,000,000; Full time

Job summary

Bandhan Technologies Private Limited in Bengaluru is seeking an hands-on Applied AI leader to build AI systems and drive enterprise adoption across the insurance value chain. You will translate business problems into AI solutions, design end-to-end workflows, and lead delivery from problem framing to production and adoption.

You will mentor engineers and data scientists, communicate with CxOs using data-driven storytelling, and guide AI architecture across NLP, multimodal, and cloud-based

Qualifications

• First-principles problem solver with action bias.
• 10-12+ years in Advanced Analytics, Data Science, and DL.
• Translates business problems into AI use cases and blueprints.
• Influences across business and tech teams without direct authority.
• Embed AI into workflows and drive adoption.
• Executive storytelling with data for CxOs.
• Strong grounding in statistics, ML, and model evaluation.
• Proficient in Python and SQL; ML/DL libraries.
• Experience with LLMs: prompt engineering, LoRA/PEFT, RAG.
• NLP, text mining, speech AI, and CV/video models.
• Multimodal systems and orchestration workflows.
• Cloud deployments (AWS/Azure/GCP); Docker/Kubernetes; CI/CD.

Responsibilities

• Own end-to-end delivery of AI systems from framing to production.
• Translate business problems into AI solution blueprints.
• Hands-on design of ML/GenAI driven workflows.
• Lead AI products end-to-end, drive adoption across value chain.
• Track impact, improve models and processes.
• Mentor engineers and data scientists; lead by example.

Skills

Problem solving

Bias for action

Business problem translation

Influence without authority

AI workflow integration

Data storytelling

Statistics & ML fundamentals

Python

SQL

LLMs

NLP / Speech AI

CV / Video AI

Multimodal systems

System architecture

Cloud platforms

Docker / Kubernetes

Insurance / BFSI / FinTech

Analytics platforms

Education

Bachelor's or Master's in Engineering/Tech/Data Science

MBA (plus)

Tools

LangChain

LlamaIndex

SageMaker

Docker

Kubernetes

CI/CD

Job description

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.