Senior Data Scientist
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Experience Required:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
POSITION - Senior Data Scientist Agentic AI Platform (Mortgage Industry)
Location: 1st preference WFO - Hyderabad
Experience: 5 years in applied data science with 3 years in financial domain AI
Role Overview
We are hiring a Senior Data Scientist to develop and deploy advanced AI/ML models powering mortgage automation agents. This role involves designing models for creditworthiness prediction fraud detection income verification document intelligence and conversational agents. The candidate will ensure models are accurate explainable and compliant with regulatory frameworks.
Key Responsibilities
Build train and optimize ML/AI models for mortgage risk loan eligibility pricing and fraud detection.
Develop document understanding and NLP models for parsing tax returns pay stubs W2s bank statements.
Implement RAG pipelines for domain-specific knowledge retrieval.
Ensure bias mitigation model fairness and explainability (XAI) for compliance with regulatory audits.
Collaborate with AI architects to integrate models into the agent framework.
Develop monitoring dashboards for model drift accuracy and performance.
Work with mortgage SMEs to translate domain knowledge into features embeddings and rules.
Required Skills & Experience
Strong experience with Python PyTorch TensorFlow Scikit-learn Hugging Face Transformers.
NLP expertise: NER summarization Q&A OCR (Tesseract Amazon Textract Azure Form Recognizer).
Deep understanding of statistical modeling risk scoring credit analytics fraud detection.
Experience with vector databases (Pinecone Weaviate FAISS Milvus).
Knowledge of MLOps tools (MLflow Kubeflow Weights & Biases).
Familiarity with mortgage underwriting risk modeling KYC/AML checks.
Strong foundation in responsible AI practices (fairness accountability transparency)
Required Skills:
Senior Data Scientist Agentic AI Platform (Mortgage Industry) Location: Hyderabad Experience: 5 years in applied data science with 3 years in financial domain AI (Added advantage) Role Overview We are hiring a Senior Data Scientist to develop and deploy advanced AI/ML models powering mortgage automation agents. This role involves designing models for creditworthiness prediction fraud detection income verification document intelligence and conversational agents. The candidate will ensure models are accurate explainable and compliant with regulatory frameworks. Key Responsibilities Build train and optimize ML/AI models for mortgage risk loan eligibility pricing and fraud detection. Develop document understanding and NLP models for parsing tax returns pay stubs W2s bank statements. Implement RAG pipelines for domain-specific knowledge retrieval. Ensure bias mitigation model fairness and explainability (XAI) for compliance with regulatory audits. Collaborate with AI architects to integrate models into the agent framework. Develop monitoring dashboards for model drift accuracy and performance. Work with mortgage SMEs to translate domain knowledge into features embeddings and rules. Required Skills & Experience Strong experience with Python PyTorch TensorFlow Scikit-learn Hugging Face Transformers. NLP expertise: NER summarization Q&A OCR (Tesseract Amazon Textract Azure Form Recognizer). Deep understanding of statistical modeling risk scoring credit analytics fraud detection. Experience with vector databases (Pinecone Weaviate FAISS Milvus). Knowledge of MLOps tools (MLflow Kubeflow Weights & Biases). Familiarity with mortgage underwriting risk modeling KYC/AML checks (added). Strong foundation in responsible AI practices (fairness accountability transparency)
Company Industry
IT Services and IT Consulting
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
