I&F Decision Sci Practitioner Sr Analyst

Skill required: Delivery - Audience Segmentation

Designation: I&F Decision Sci Practitioner Sr Analyst

Qualifications: Any Graduation

Years of Experience: 5 to 8 years

About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com

What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com. We re the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations. Our quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our client s business while accelerating time-to-market and operating efficiently at scale. We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses. You will 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. Designs, builds and deploys machine learning models and advanced analytics use cases that power the growth analytics strategy for the CRM & Loyalty engagement. Working within the advanced analytics pod the role owns the end-to-end model lifecycle - from problem framing and feature engineering through to deployment and ongoing monitoring - in close partnership with Analytics Managers and the data team.

What are we looking for? ? Advanced SQL, campaign analytics and 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 modelling, 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) ? 2–4 years in data science, machine learning or advanced analytics and 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 modelling or marketing science ? Exposure to automobile, airline, retail, FMCG or beauty industry ? Bachelor s or Master s degree in Data Science, Statistics, Computer Science, Mathematics or related field

Roles and Responsibilities: ? Design and build ML models for assigned use cases - including propensity scoring, churn prediction, next-best-action modelling, 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 productionise models and integrate outputs into CRM journeys and campaign workflows ? Contribute to the group-level data science framework - 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