Job Title

Senior Data Scientist — Trulogik India (Hybrid) - Multiple roles being hired for Exp - 4–7 years | Applied ML | Production AI | Ownership + Impact Job Location - Hyderabad / Bengaluru Compensation- Best in the industryAbout Trulogik Trulogik is a fast growing product company focused on transforming operations for U.S. health insurance organizations. Our platforms help payers reduce costs, improve accuracy, and expand capabilities through automation, AI, and intelligent workflows. We work on problems that directly impact millions of members, and we take that responsibility seriously.We are looking for go-getter Data Scientists, people who combine deep applied research thinking with the discipline to ship models that actually run in production. If you like solving hard problems, owning outcomes, and seeing your work drive measurable results, read on!Role Overview As a Senior Data Scientist at Trulogik, you will design, build, and productionize AI and ML solutions that power real business workflows, from claims intelligence to automation, anomaly detection, NLP, and decision support. You’ll partner closely with engineering and product teams, move from idea → experiment → model → production, and help shape our data science practices.What you’ll do Design, develop, and deployend-to-end ML solutionsfor real-world business use cases Analyze large, noisy text corpora to extract semantic signal, intent, sentiment, and actionable insights Enhance and maintain existing deep learning and NLP pipelines, including tokenization, embeddings, inference optimization, and model versioning Translate ambiguous business requirements into rigorous NLP problem formulations, model architectures, and evaluation strategies Work with engineers toproductionizemodels (scalability, monitoring, retraining) Run experiments, evaluate models, performfine-tuning and hyperparameter optimization , and track drift in model and data Communicate results clearly to technical and non-technical stakeholders Mentor junior team members and raise the bar on data science qualityWhat you bring Bachelor’s/Master’s in CS, Engineering, Math, Statistics, or related field 4–7 years in Data Science / Applied ML / Analytics Strong foundations in: machine learning and NLP concepts statistics, linear algebra, optimization experimentation, A/B testing, evaluation metrics Proficiency in Python (and/or Scala) for ML development Experience with fine-tuning models and experimenting with different approaches Nice to have NLP, text mining, or deep learning experience Model explainability & interpretability Experience deploying models to production environmentsWhat makes this role different - Grow faster at Trulogik Work withsupersmart data scientists and seasoned tech leaders Doapplied research that goes to production Earn acompetitive salary and benefits- we reward impact Solve complex, meaningful problems that push your thinking Take ownership from day one - design, experiment, deploy, iterateWe especially value people who have worked inentrepreneurial environments- startups, product teams, innovation groups - and who thrive when things aren’t perfectly defined, step up, and drive outcomes.Who thrives here You’re likely a great fit if you: take accountability and like owning results end-to-end enjoy ambiguity and shaping solutions, not just receiving tickets care about rigor, but know when to ship and iterate love experimenting, learning, and improving systems continuously collaborate closely with engineering and product partnersJoin Trulogik on an exciting journey to revolutionize healthcare with AI. The future of work is here, and it’s at Trulogik.If this role excites you, please send your application to careers@We’re always looking for exceptional talent. Even if this role isn’t a perfect fit today, applying ensures you’ll be considered for future opportunities aligned with your skills and interests.Trulogik is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, and business needs. We are committed to providing equal employment opportunities and a workplace free from discrimination or harassment, in compliance with applicable local and international laws.