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Job Description & How to Apply Below
ANSR is hiring for one of its clients.
About ANSR Med Tech:
Who We Are:
ANSR Med Tech Capability Center is a new global innovation hub being established in India for a Fortune 100 Fastest-Growing Company in the Med Tech sector. 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.
ANSR Med Tech center brings together world-class engineering, product, and technology talent to build next-generation healthcare platforms and solutions that power global operations.
Our Vision:
To build a next-generation Med Tech capability center that powers global healthcare innovation. We envision:
High-impact innovation hubs shaping global product and technology roadmaps
Centers that go beyond support functions to drive core engineering and platform development
Sustainable, scalable ecosystems that nurture world-class Med Tech talent
Capability centers that directly influence patient outcomes worldwide
At its core, the ANSR Med Tech Capability Center is about enabling innovation that touches lives at scale.
About IACTO:
At ANSR Med Tech, the Insights & Analytics (I&A) Center of Excellence is built as a single, integrated analytics organization with two closely partnered focus areas:
Growth aligned analytics and CTO aligned analytics.
Both work together to ensure analytics drives real outcomes at enterprise scale.
Growth Aligned Insights & Analytics:
Growth aligned I&A teams focus on turning data into decisions.
They work closely with business leaders to understand context, analyze data, and deliver insights that directly inform commercial, product, and operational actions.
These roles are best suited for people who enjoy:
Working close to the business and stakeholders
Translating complex data into clear insights and recommendations
Driving measurable impact through analytics.
CTO Aligned Insights & Analytics:
CTO aligned I&A teams focus on building and operating the data and AI foundation that enables analytics y design, build, and maintain platforms, pipelines, models, and governance that ensure analytics is secure, reliable, and repeatable.
These roles are best suited for people who enjoy:
Building scalable data platforms and AI capabilities
Engineering high quality, production ready data solutions
Establishing standards, reliability, and long-term sustainability.
How the Teams Work Together:
Growth defines what insights matter and how they are used
CTO enables how those insights are delivered at scale
Teams operate as one connected analytics organization, with clear ownership and shared outcomes
This model allows ANSR Med Tech to deliver fast, meaningful insights while building a strong, enterprise grade analytics foundation for long term growth.
Job Summary:
The Manager of Data Science will lead a team of data scientists within the India COE, accountable for the design and development of advanced analytics, statistical models, and predictive capabilities that drive business decision-making. 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.
This role reports to the Director of Data & 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.
Key Responsibilities:
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
Establish rigorous model development methodology: hypothesis formulation, feature engineering, model selection, validation, and performance benchmarking
Define and enforce model documentation standards including methodology, assumptions, limitations, variable importance, and interpretability requirements
Define model performance requirements, acceptance thresholds, and retraining criteria. Hand…
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