Chief Data Scientist - Predictive Modeling

BANDHAN TECHNOLOGIES PRIVATE LIMITED; Bengaluru; On-site; INR 5,500,000 - 8,000,000; Full time

Job summary

BANDHAN TECHNOLOGIES PRIVATE LIMITED is seeking a senior AI/ML expert in Bengaluru to lead advanced analytics, design scalable AI architectures, and drive adoption across business and tech teams.

You will translate business problems into AI use cases, build end-to-end pipelines, and communicate insights to CxOs, leveraging cloud platforms and modern ML frameworks.

Qualifications

• 10-12+ years of hands-on experience in Advanced Analytics, Data Science, Predictive Modelling and DL.
• Ability to translate business problems into AI/analytics use cases and solution blueprints.
• Influence across business and tech teams without formal authority.
• Experience embedding AI into workflows and driving adoption.
• Executive storytelling using data; explain complex analyses to CxOs.
• Strong foundation in statistics, ML, and model evaluation techniques.
• Proficiency in Python, SQL, and ML/DL libraries (PyTorch, TensorFlow, scikit-learn).
• Hands-on with LLMs: prompt engineering, fine-tuning, RAG, agents, LangChain-like tooling.
• Experience with NLP, speech AI, and conversational AI pipelines.
• Experience with computer vision and video models; multimodal systems.
• System architecture design combining models, APIs, and workflows.
• Cloud deployment experience (AWS/GCP/Azure); AWS services especially SageMaker.
• Familiarity with Docker, Kubernetes, CI/CD and scalable inference pipelines.

Skills

Advanced Analytics

Data Science

Predictive Modelling

Deep Learning

Python

SQL

ML/DL Libraries

LLMs

Prompt Engineering

Fine-tuning

RAG

LangChain

Video/Multimodal

Education

Masters in Engineering/Statistics/Data Science

MBA (plus)

Tools

Docker

Kubernetes

CI/CD

AWS

GCP

Azure

SageMaker

Job description

Job Description

• 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. (ref:hirist.tech) .