I&F Decision Sci Practitioner Sr Analyst

About the Role

• Accenture Solutions Pvt Ltd is seeking an I&F Decision Sci Practitioner Sr Analyst.
• This role is part of the global managed services arm of Accenture Interactive, operating within the Operations Business.
• The goal is to activate best-in-class experiences by driving value across customer interactions to maximize marketing performance.
• Combines deep functional and technical expertise to future-proof client businesses, accelerate time-to-market, and operate efficiently at scale.
• This role focuses on operating marketing models to help businesses transform and excel.

Key Responsibilities

• Take ownership of end-to-end campaign analytics workstreams for global clients, from data science modeling, AI/ML deployment and segmentation to measurement and insight generation.
• Design, build, and deploy machine learning models and advanced analytics use cases that power the growth analytics strategy for CRM & Loyalty engagement.
• Design and build ML models for assigned use cases, including propensity scoring, churn prediction, next-best-action modeling, CLTV prediction, and loyalty tier migration forecasting.
• Own the full model lifecycle: problem framing, feature engineering, model development, validation, deployment, and ongoing performance monitoring.
• Partner with Data Analysts and Analytics Managers to productionize models and integrate outputs into CRM journeys and campaign workflows.
• Contribute to the group-level data science framework, including methodology standards, model lifecycle governance, and MLOps practices.
• Design and govern the global control group framework and statistical methodology across markets.
• Translate model outputs into actionable audience briefs and campaign recommendations in partnership with Insights Managers.
• Document model methodology, assumptions, performance benchmarks, and deployment guidelines for client and internal review.
• Conduct CLV, churn, and engagement analyses to identify high-value customer segments and at-risk cohorts.
• Analyze audience, channel, content, conversion, booking, revenue, and customer journey performance.
• Prepare insight narratives, drivers of performance, and optimization recommendations.
• Lead test-and-learn design (A/B tests, hold-out groups) and interpret results to inform future campaign strategy.
• Build and maintain campaign performance dashboards that provide real-time and retrospective views of marketing effectiveness.

Requirements & Tech Stack

• Advanced SQL
• Campaign analytics
• CRM/customer analytics skills
• Proficiency in Python for machine learning and data science: scikit-learn, XGBoost, LightGBM or equivalent
• Experience building and deploying classification, regression, and ranking models at scale
• Strong understanding of customer analytics methodologies: propensity modeling, CLTV, churn prediction, predictive segmentation
• Familiarity with MLOps practices: model monitoring, versioning, lifecycle governance, and reproducibility
• Experience working with CRM and marketing data: SFMC event data, CDP profiles, transactional and engagement signals
• Understanding of experimental design, control group methodology, and A/B testing statistical frameworks
• Experience with AI/ML-driven personalization and decision engines
• Proficiency in Power BI and/or Tableau for dashboard development
• Hands-on experience with CRM and campaign platforms (Salesforce Marketing Cloud, Adobe Campaign, Braze, or similar)
• Strong knowledge of segmentation methodologies and customer analytics (RFM, CLV, propensity scoring)
• Experience designing campaign measurement frameworks including attribution and incrementality
• A/B testing, attribution basics, and funnel analysis
• Strong communication skills - ability to translate complex model outputs into clear business recommendations
• Experience with agentic AI frameworks and LLM-integrated analytics pipelines
• Familiarity with Salesforce Einstein Analytics and Data Cloud ML capabilities
• Knowledge of Tealium CDP data structures and customer profile attributes
• Certifications in machine learning or cloud ML platforms (AWS SageMaker, GCP Vertex AI or similar)
• 2+ years in data science, machine learning, or advanced analytics
• 1+ years in campaign analytics or CRM analytics
• Proven track record building and deploying predictive models in production environments
• Experience in CRM analytics, loyalty analytics, customer lifetime value modeling, or marketing science
• Exposure to automobile, airline, retail, FMCG, or beauty industry

Qualifications

• Any Graduation