Job Title

Associate Data ScientistOur Client: Founded in 2020, our client is an industry-leading, first-of-its-kind in India, digital healthcare data platform and exchange, infused with AI/ML capabilities, delivering solutions to stakeholders in all segments of the healthcare sector.Job Title: Associate Data ScientistEducation: Bachelor’s degree in Engineering Experience: 1-2 yearsLocation: Bangalore About the Role: We are building the next-generation automated health-insurance claims processing platform, leveraging AI/ML, deep learning, NLP, OCR, and LLM-powered intelligence. As a Data Scientist, you will contribute to the design,development, deployment, and optimization of AI models that power large-scale claims decisioning across multiple regions. This is a hands-on technical role where you will work alongside senior data scientists, gain exposure to end-to-endML pipelines, and grow your expertise in a fast-paced, mission-critical environment.Roles & Responsibilities:Model Development, Deployment & Production Support:Contribute to the development, training, and validation of ML models used in automated health-claims processing.Assist in building and maintaining end-to-end machine learning pipelines including data ingestion, feature engineering, and model evaluation.Experiment with classical ML models (tree-based, linear, clustering) and modern approaches (NLP, transformers) under senior guidance.Support monitoring of model performance and data quality in production environments.Implement and test model improvements based on feedback and performance metrics.Build Efficient, Scalable & High-Accuracy Models:Optimize models for accuracy, latency, memory footprint, and infrastructure cost.Implement model compression, distillation, and quantization when required to meet SLAs.Ensure solutions perform reliably across heterogeneous real-world datasets and regions.Implement End-to-End ML Pipelines:Implement automated ML pipelines covering structured, unstructured, and document based data.Build feature engineering, model training, validation, and retraining workflows.Implement CI/CD for ML, model versioning, and automated retraining strategies.Work closely with engineering teams to operationalize ML using MLOps best practices.Experience in AI Techniques:Hands-on experience with classical ML models including tree-based models,linear models, clustering, and anomaly detection.Experience with deep learning architectures such as CNNs, RNNs, andTransformers.Strong background in NLP and LLM-based solutions for extraction,summarization, classification, and claim interpretation.Ability to evaluate and select the most appropriate technique for each problemStrong Technical Acumen:Deep understanding of data structures, machine learning algorithms, and modern AI architectures.Proficiency in Python, ML frameworks such as PyTorch and TensorFlow, and cloud platforms including AWS, GCP, or Azure.Familiarity with distributed systems, microservices, APIs, and containerized deployments.Experience building scalable data pipelines and feature stores.Define data quality standards, metadata tracking, and experiment management practices.Write high-quality, production-ready Python code using frameworks such asPyTorch, Hugging Face, LangChain, or Ollama.Conduct rigorous model validation, interpretability analysis, and bias detectionCollaboration & Communication:Collaborate with senior data scientists, ML engineers, and product teams to deliver solutionsDocument experiments, findings, and model decisions clearlyParticipate in code reviews, technical discussions, and knowledge-sharing sessionsProactively communicate progress, blockers, and learnings to the teamRequirements:Engineering degree in Computer Science, Statistics, Mathematics, or a related field1-2 years of experience in data science or ML (including internships or academic projects)Solid understanding of ML fundamentals: supervised/unsupervised learning,model evaluation, overfittingHands-on experience with Python and key libraries: scikit-learn, pandas,NumPyHand-on experience with LLMs, RAG and Agentic PipelinesFamiliarity with at least one deep learning framework: PyTorch or TensorFlow Basic knowledge of NLP: tokenization, embeddings, text classificationWorking knowledge of SQL for data querying and manipulationExposure to cloud platforms (AWS, GCP, or Azure) and version control (Git)Strong analytical thinking and problem-solving skillsEagerness to learn, take ownership, and grow in a fast-paced environmentAbout Hireginie: Hireginie is a prominent talent search company specializing in connecting top talent with leading organizations. We are committed to excellence and offer customized recruitment solutions across industries, ensuring a seamless and transparent hiring process. Our mission is to empower both clients and candidates by matching the right talent with the right opportunities, fostering growth and success for all.