Join Accenture as an I&F Decision Sci Practitioner Analyst, a pivotal role driving advanced analytics for global clients. This position is ideal for professionals passionate about leveraging data science and machine learning to optimize marketing performance and customer experiences. You'll be part of a dynamic team within Accenture Interactive, focusing on innovative, end-to-end customer experience solutions that empower businesses to excel in the modern landscape.

Accenture offers unparalleled expertise in digital, cloud, and security. We combine extensive experience with specialized skills across numerous industries to deliver Strategy and Consulting, Technology and Operations services, and Accenture Song. Our global network of Advanced Technology and Intelligent Operations centers ensures we power client success through technology and human ingenuity, operating in over 120 countries.

As an I&F Decision Sci Practitioner Analyst, you will spearhead end-to-end campaign analytics workstreams, encompassing data science modeling, AI/ML deployment, and segmentation. You will design, build, and deploy machine learning models and advanced analytics use cases that enhance CRM & Loyalty engagement strategies.

Key responsibilities include: - Owning the complete model lifecycle: problem framing, feature engineering, development, validation, deployment, and performance monitoring. - Partnering with Data Analysts and Analytics Managers to productionize models and integrate outputs into CRM journeys. - Contributing to the group-level data science framework, including methodology standards and MLOps practices. - Designing and governing global control group frameworks and statistical methodologies. - Translating model outputs into actionable audience briefs and campaign recommendations. - Conducting analyses for CLV, churn, and engagement to identify high-value customer segments. - Analyzing campaign performance across various metrics and building insightful dashboards.

We are seeking a skilled professional with a proven track record in data science, machine learning, or advanced analytics, complemented by experience in campaign or CRM analytics. Essential skills include advanced SQL, proficiency in Python for machine learning (scikit-learn, XGBoost, LightGBM), and experience building/deploying classification, regression, and ranking models.

We require a strong understanding of customer analytics methodologies such as propensity modeling, CLTV, churn prediction, and predictive segmentation. Familiarity with MLOps practices is highly beneficial. Experience with CRM and marketing data, experimental design, A/B testing, and AI/ML-driven personalization is expected.

Proficiency in Power BI and/or Tableau for dashboard development is crucial. Hands-on experience with CRM and campaign platforms (e.g., Salesforce Marketing Cloud, Adobe Campaign) is necessary. Strong knowledge of segmentation methodologies and customer analytics (RFM, CLV) is vital. Excellent communication skills to translate complex model outputs into clear business recommendations are a must.

A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field is required. Candidates should possess 3-5 years of relevant experience, demonstrating success in building and deploying predictive models in production environments.