Outsized Hiring! Full Time Customer Relationship Management Lead in - Ricebowl

Project Overview

Our client is seeking a Data Scientist and CRM professional to design and build predictive models that enable hyper-personalized patient engagement and drive targeted remarketing initiatives.

This role will focus on leveraging patient history and engagement data to generate actionable insights, recommend next-best actions and improve patient retention, service uptake and overall campaign effectiveness

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Key Responsibiliti

• esAnalyse patient history and engagement data to identify behavioural patterns, trends, and opportunities for improved patient engagemen
• t.Develop predictive models and recommendation engines to support next-best-action (NBA) decision-making and targeted remarketing campaign
• s.Build and validate models for key use cases, including patient reactivation, churn prediction, service uptake propensity, and cross-sell/upsell opportunitie
• s.Segment patient populations using advanced analytics such as clustering, propensity modelling, and predictive scorin
• g.Partner with marketing, operations, and clinic teams to translate model outputs into actionable campaigns and engagement strategie
• s.Design and implement testing frameworks (such as A/B testing) to measure campaign effectiveness and optimize outcome
• s.Develop dashboards, reports, or lightweight tools to operationalize model outputs for business stakeholder
• s.Ensure data quality, model governance, and compliance with healthcare data privacy requirement
• s.Continuously monitor model performance and recommend enhancements to improve business impac

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Ideal Backgro

• undProven experience in Data Science, Machine Learning, Advanced Analytics, or Applied Statisti
• cs.Strong track record of developing and deploying predictive models for customer, patient, marketing, or commercial use cas
• es.Experience working with PII, customer journey, CRM, patient, or behavioral datase
• ts.Ability to translate complex analytical findings into practical business recommendations and actio
• ns.Experience working in fast-paced environments with a strong focus on execution and measurable outcom
• es.Comfortable working cross-functionally alongside marketing, operations, and clinical te
• amsHealthcare, life sciences, or patient analytics experience is highly advantageo