Job Description
Data Scientist – AI/ML & Identity Management Location: Hyderabad, India Experience: 7–15 years Employment Type: Full-time, Work from Office Role Overview We are looking for a Data Scientist with hands-on Python coding skills to develop and deploy AI/ML solutions for identity management. The role involves working with real-world identity data, developing NLP and name-matching algorithms, building ML models, and integrating them into production applications. The candidate will also be required to understand, analyze, enhance, and extend an existing Python codebase. Since access to external LLM-based coding assistants such as ChatGPT or Claude may be limited due to the confidentiality of data, the candidate must have strong independent coding and problem-solving abilities. Key Responsibilities Develop algorithms for name matching, entity resolution, record linkage, duplicate detection, and identity matching. Apply NLP and text similarity techniques including Jaro-Winkler, Levenshtein, TF-IDF, n-grams, token-based similarity, phonetic matching, embeddings,



and transformer-based approaches. Perform data preparation, feature engineering, statistical analysis, model training, validation, and performance optimization. Develop hybrid solutions combining deterministic rules, fuzzy matching, statistical methods, and machine learning. Write clean, efficient, maintainable Python code and develop reusable data science and ML components. Understand and work extensively with an existing Python codebase, identify issues, optimize algorithms, and implement current functionality. Develop and deploy ML models as production services/APIs and work with engineering teams to integrate them into enterprise applications. Analyze model performance and address issues such as false positives, false negatives, scalability, latency, and model explainability. Research and evaluate new AI/NLP techniques relevant to identity verification, fraud detection, and identity intelligence. Requi

📌 Data Scientist (Hyderabad)
🏢 hiringhood
📍 Hyderabad