Data Scientist

About the Role:

We are looking for a highly skilled and motivated Data Scientist with 35 years of experience to join our Data Innovation team. The ideal candidate will have strong analytical skills, hands-on experience in Computer Vision and Large Language Models (LLMs), and a proven track record of turning complex data into actionable insights and intelligent solutions. This role will involve working on high-impact AI solutions for unstructured data, including images and documents.

Designation – Data Scientist

Key Responsibilities:

• Design, develop, and deploy models for computer vision tasks such as object detection, image classification, OCR, segmentation, etc.
• Build and fine-tune LLM-based pipelines for tasks such as information extraction, document summarization, chat-based interfaces, and automated reasoning.
• Work closely with cross-functional teams (engineering, product, business) to translate business problems into data science solutions.
• Conduct exploratory data analysis, statistical modelling, and feature engineering across diverse data sources.
• Evaluate model performance using appropriate metrics and iterate for improvement.
• Stay up to date with the latest research and advancements in AI/ML, computer vision, and NLP.

Required Qualifications:

• Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related fields.
• 3–5 years of hands-on experience in Data Science or Machine Learning roles.
• Strong proficiency in Python and ML libraries such as scikit-learn, pandas, PyTorch/TensorFlow, OpenCV, Langchain etc.
• Experience with Computer Vision frameworks (e.g., YOLO, Detectron2, MM Detection) and LLMs (e.g., Hugging Face Transformers, Lang Chain, LLaMA, GPT).
• Experience with real-world model deployment and evaluation.
• Strong grasp of machine learning concepts, statistical analysis, and data manipulation.
• Excellent problem-solving, communication, and stakeholder collaboration skills.

Good to have:

• Exposure to the lending, finance, or banking domain (e.g., credit scoring, income estimation, fraud detection).
• Experience with document AI or multi-modal AI systems.
• Familiarity with cloud platforms (AWS/GCP/Azure) and MLops tools.
• Experience working with OCR engines (Tesseract, PaddleOCR, etc.) and integrating CV+LLM pipelines.
• Understanding of RAG pipelines, fine-tuning of open-source LLMs, or prompt engineering.

Location

Experience