Pricing Specialist (Data Science)

Description

Job Summary: A professional to develop and optimize predictive and machine learning models applied to financial product pricing, working on data analysis and process automation. Key Highlights: 1. Predictive modeling and machine learning for pricing 2. Proficiency in Python and advanced SQL, with cloud (AWS) experience 3. Cross-functional collaboration for pricing strategies Description: * Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or related fields. * Solid experience in predictive modeling, machine learning, and data analysis applied to pricing, as well as experience in Analytics and Financial Planning. * Proficiency in Python; advanced SQL and knowledge of cloud environments (preferably AWS). * Experience with code versioning (Git) and agile methodologies. * Ability to communicate clearly and concisely with both technical and non-technical stakeholders. * Build models for dynamic and segmented pricing, analyze demand elasticity, and assess the impact of price changes by product/segment. * Develop and maintain statistical, econometric, and machine learning models focused on financial product pricing. * Conduct exploratory and predictive analyses to identify opportunities for price and margin optimization. * Automate analytical processes and build robust, scalable data pipelines, while monitoring model performance and proposing continuous improvements. * Implement testing and simulation policies to evaluate the impact of pricing strategies. * Collaborate with Product, Planning, Risk, and Technology teams to ensure effective implementation of pricing strategies. 2511120202181862267