Manager, Data Science

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are looking for an experienced Manager, Data Science to lead the development and delivery of advanced data science solutions across pricing optimization, customer segmentation, marketing analytics, Bayesian modelling, marketing mix modelling (MMM), causal inference, and optimization. The role combines hands-on technical expertise with data science leadership, requiring the ability to lead and mentor data scientists, solve complex business problems, engage with clients, and translate analytical insights into measurable business outcomes. The ideal candidate should have a strong foundation in statistics, machine learning, predictive modelling, and optimization, with hands-on experience in Python, SQL, Bayesian modelling, and cloud-based machine learning environments such as AWS SageMaker. Key Responsibilities: Lead and mentor a team of data scientists and provide technical direction across multiple data science projects. Own the end-to-end delivery of data science solutions, from problem definition and exploratory analysis through modelling, validation, deployment, and business adoption. Develop and lead pricing optimization and price elasticity models to support revenue, profitability, and market-share objectives. Build customer segmentation and targeting models using techniques such as K-Means, Gaussian Mixture Models (GMM