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This role is responsible for translating business problems into rigorous analytical approaches and ensuring that every model delivered meets enterprise-grade standards for quality, documentation, and reliability.</p><p>This role reports to the&nbsp;Director of Data &amp; AI and operates within a multi-disciplinary delivery organization — collaborating closely with analytics engineers, AI engineers, data engineers, and data governance professionals to deliver end-to-end analytical products.</p><p><strong>Key Responsibilities:&nbsp;</strong></p><ul><li>Lead the design and development of predictive models, statistical analyses, and advanced analytics solutions including propensity scoring, customer segmentation, churn analysis, demand forecasting, survival analysis, and cohort studies</li><li>Establish rigorous model development methodology: hypothesis formulation, feature engineering, model selection, validation, and performance benchmarking</li><li>Define and enforce model documentation standards including methodology, assumptions, limitations, variable importance, and interpretability requirements</li><li>Define model performance requirements, acceptance thresholds, and retraining criteria. Hand over production-ready model artifacts and documentation to AI engineering for deployment, monitoring, and lifecycle management</li><li>Develop advanced analytical capabilities including time-series forecasting, causal inference, optimization models, simulation frameworks, anomaly detection, clustering, and geospatial analysis</li><li>Build and maintain experimentation infrastructure including A/B testing frameworks, holdout methodologies, and statistical significance standards</li><li>Define measurement frameworks that connect model outputs to business outcomes — ensuring every model has a clear value hypothesis and success criteria</li><li>Establish standards for experiment design, sample sizing, power analysis, and result interpretation across the team</li><li>Recruit, develop, and lead a team of data scientists at varying experience levels (associate through senior)</li><li>Conduct regular code reviews, methodology reviews, and peer learning sessions to maintain quality and foster continuous improvement</li><li>Define skill requirements for each level and create clear expectations for progression from associate to senior data scientist</li><li>Foster a culture of scientific rigor, reproducibility, and intellectual honesty — where assumptions are challenged and results are validated</li><li>Define and enforce coding standards, peer review processes, quality gates, and definition-of-done criteria for data science deliverables — consistent with how ANSR MedTech’s established Data &amp; AI teams operate</li><li>Ensure all models are version-controlled, tested, documented, and certified through the data product certification process before production release</li><li>Prepare and hand over model artifacts, feature pipelines, and technical documentation to AI engineering for production deployment — following established AI engineering practices and standards</li><li>Contribute to the COE’s library of reusable analytical components, feature engineering patterns, and model templates</li><li>Partner with Data Product Owners and Business Analysts to ensure deliverables align with business requirements and acceptance criteria</li><li>Collaborate with peer managers across data science, analytics engineering, AI engineering, and data engineering to share standards and best practices</li><li>Participate in sprint planning and capacity alignment with the I&amp;A organization</li><li>Contribute to cross-functional reviews of delivery metrics and business impact</li></ul><p><strong>Qualifications:</strong></p><ul><li>Master’s degree or PhD in statistics, mathematics, computer science, economics, or a related quantitative field</li><li>7–12+ years of hands-on experience in data science, applied statistics, or quantitative analytics with at least 3 years leading technical teams</li><li>Deep expertise in statistical modeling, machine learning, and experimental design — with strong proficiency in at least two of: causal inference, Bayesian methods, time-series analysis, survival analysis, optimization, or deep learning</li><li>Proficiency in Python and SQL; hands-on experience with Databricks, Spark, or equivalent distributed computing platforms</li><li>Experience building and validating models through the full development lifecycle — from hypothesis through feature engineering, training, evaluation, and handover to engineering for production deployment</li><li>Strong understanding of feature engineering, model selection, regularization, cross-validation, and ensemble methods</li><li>Ability to design and interpret experiments (A/B tests, multi-armed bandits, quasi-experimental methods) with statistical rigor</li><li>Experience working in agile delivery teams with data engineers, analytics engineers, and product owners</li><li>Excellent communication skills with the ability to present complex analytical findings to business stakeholders</li></ul><p><strong>Preferred Skills:&nbsp;</strong></p><ul><li>Experience in medtech, life sciences, healthcare, or other regulated industries</li><li>Familiarity with MLOps concepts and tooling (MLflow, feature stores, model registries) to ensure smooth handover to AI engineering</li><li>Experience with deep learning frameworks (PyTorch, TensorFlow) for applied ML use cases</li><li>Published research or conference presentations in applied data science or statistics</li><li>Familiarity with Azure and Databricks ecosystems</li></ul>","employment_type":"Full-Time","industry":"","job_template":false,"country":{"name":"India","country_code":"IN","region":"Asia"},"is_job_displayable":true,"job_url":"https://talent500.com/jobs/ansrmedtechjobs/manager-data-science-bengaluru-T500-25836","created_at":"2026-05-11T14:11:14.863277+05:30","updated_at":"2026-06-19T18:28:50.739491+05:30","title_alias_1":"Manager Data Science","slug":"manager-data-science-bengaluru-T500-25836","summary":null,"typical_workday":null,"what_you_offer":null,"what_you_need_to_succeed":null,"responsibilities":null,"type":null,"min_experience_years":8,"max_experience_years":12,"ctc_unit":"LPA","is_featured_job":false,"is_active":true,"job_code":"T500-25836","external_id":37601,"external_job_code":"INSSK005","is_anonymized":false,"mercurial_skills":null,"open_date":"2026-05-07T19:36:49.755409+05:30","published_at":"2026-05-11T14:11:13.938757+05:30","anonymization_needed":null,"anonymized_description":null,"xml_feed_anonymization":null,"unregistered_user_anonymization":null,"registered_user_anonymization":null,"pre_application_email_anonymization":null,"mettl_account":null,"job_table_sub_head":null,"job_table_short_desc":null,"is_remote":null,"job_video":null,"job_video_title":null,"job_video_description":null,"job_image_url":"https://wattt.s3.ap-south-1.amazonaws.com/PRODUCTION/T500-25836.png","role_summary":"<p><strong>About ANSR MedTech:</strong></p><p><strong>Who We Are:</strong></p><p>ANSR MedTech&nbsp;Capability Center is a new global innovation hub being established in India for a Fortune 100 Fastest-Growing Company in the MedTech sector.&nbsp;Built in partnership with ANSR, the center draws on ANSR’s proven experience in establishing and scaling high-performance Global Capability Centers (GCCs) for leading global enterprises.&nbsp; &nbsp;</p><p>&nbsp; ANSR MedTech center brings together world-class engineering, product, and technology talent to build next-generation healthcare platforms&nbsp;and solutions that power global operations.&nbsp; &nbsp; &nbsp;&nbsp;</p><p><strong>Our Vision:</strong></p><p>To build a next-generation MedTech capability center that powers global healthcare innovation. 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