Join Accenture as an I&F Decision Sci Practitioner Sr Analyst and drive impactful analytics for global clients. This role focuses on end-to-end campaign analytics, leveraging data science, AI/ML, and segmentation to deliver actionable insights and optimize marketing performance.

Accenture is a global leader in digital, cloud, and security services, offering Strategy and Consulting, Technology, and Operations services. We empower clients across diverse industries with innovative solutions, powered by a vast network of advanced technology and intelligent operations centers.

Our global managed services arm within Accenture Interactive operates within the Operations Business, utilizing industrialized run capabilities. Our mission is to activate best-in-class experiences by maximizing value across every customer interaction and enhancing marketing performance.

Take ownership of end-to-end campaign analytics workstreams for global clients, from data science modeling and AI/ML deployment to segmentation, measurement, and insight generation.

Design, build, and deploy machine learning models and advanced analytics use cases to support growth analytics strategy for CRM and Loyalty engagement.

Manage the complete model lifecycle, including problem framing, feature engineering, deployment, and ongoing monitoring, in close collaboration with Analytics Managers and the data team.

Partner with Data Analysts and Analytics Managers to productionize models and integrate outputs into CRM journeys and campaign workflows.

Design and govern the global control group framework and statistical methodology across markets. Translate model outputs into actionable audience briefs and campaign recommendations.

Conduct CLV, churn, and engagement analyses to identify high-value customer segments and at-risk cohorts. Build and maintain campaign performance dashboards for real-time and retrospective views of marketing effectiveness.

We seek a skilled practitioner with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.

Demonstrate proficiency in Advanced SQL, campaign analytics, and CRM/customer analytics. Expertise in Python for machine learning, including libraries like scikit-learn, XGBoost, and LightGBM, is essential.

Possess experience in building and deploying classification, regression, and ranking models at scale, coupled with a strong understanding of customer analytics methodologies such as propensity modeling, CLTV, churn prediction, and predictive segmentation.

Familiarity with MLOps practices, CRM and marketing data (SFMC event data, CDP profiles, transactional data), and experimental design, including A/B testing, is required.

Skills in AI/ML-driven personalization, dashboard development with Power BI/Tableau, and experience with CRM and campaign platforms (Salesforce Marketing Cloud, Adobe Campaign, Braze) are highly valued. A proven track record of building and deploying predictive models in production environments is necessary.