Sr. Data Scientist, Predictive Modeling

The Senior Data Scientist is a dedicated role supporting IHG's strategic partnership with Holiday Inn Club Vacations (HICV), responsible for leading the design, development, deployment, and ongoing operation of predictive and prescriptive AI/ML models.

Operating within a joint IHG-HICV delivery model, this role partners closely with business and technical stakeholders to deliver scalable, explainable, and production-ready solutions. The role leverages an iterative, test-and-learn methodology to continuously enhance model performance and drive measurable business impact.

Your day to day

• Lead the end-to-end development and lifecycle management of predictive and prescriptive AI/ML models, from design through deployment and continuous optimization.
• Translate business objectives into scalable data science solutions, partnering with HICV stakeholders to improve key outcomes such as conversion, engagement, and activation.
• Design and execute experimentation frameworks (e.g., A/B and multivariate testing) to evaluate impact and optimize performance against defined KPIs.
• Operationalize models into production environments, enabling real-time and batch scoring, and integrating outputs into key workflows (e.g., contact center routing, survey targeting, package activation).
• Ensure strong data governance, documentation, and model explainability, including clear definitions of inputs, features, methodologies, and outputs, while maintaining compliance with privacy and regulatory standards.
• Collaborate within a joint IHG-HICV governance model, contributing to steering committee reviews, prioritization, and ongoing performance monitoring and enhancement.

What we need from you

• Bachelor's or Master's degree in a quantitative field (e.g., mathematics, statistics, data science), or equivalent relevant experience
• 5-8 years of data science experience with demonstrated delivery of business impact
• Advanced proficiency in Python and SQL (including complex queries, stored procedures, and performance optimization)
• Strong experience with machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch; familiarity with LLM frameworks is a plus)
• Experience deploying models in cloud environments (e.g., GCP AI Platform/Vertex AI, AWS SageMaker)
• Expertise in causal inference, optimization techniques, and experimental design
• Experience with MLOps frameworks, including model deployment, monitoring, and lifecycle management
• Strong understanding of business impact modeling (e.g., ROI, LTV, incrementality)
• Solid grounding in statistical modeling (e.g., regression, time series, propensity modeling)
• Strong feature engineering and data preparation practices
• Strong problem-solving skills and business acumen
• Ability to communicate complex analytical concepts to non-technical stakeholders
• Attention to detail with a focus on governance and documentation
• Experience operating in cross-company or client-facing delivery models preferred

Location - Our hybrid work structure is an expectation of three (3) days a week in the Atlanta office. This expectation may be adjusted to evolve with the changing needs of the business.

The salary range for this role is $119,000.00 to $155,000.00. This role is also eligible for bonus pay. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401K, and other benefits to employees.