Teams at Frost & Sullivan

Develop quantitative models and data pipelines for MetaBrain decision-intelligence software. Responsibilities include preparing reliable datasets, building forecasting, segmentation, ranking, scoring, or optimization models, validating uncertainty and business value, and operationalizing reproducible analytical workflows with data tests, monitoring, scenario outputs, and explainability.

Lead the development of MetaBrain decision-intelligence solutions by translating research and advisory methodologies into reusable software-enabled services. Define client decisions, data, logic, workflows, taxonomies, scoring rules, scenarios, evidence requirements, and acceptance criteria. Lead discovery, solution design, configuration, validation, pilots, advisor review, change control, and adoption. The role requires consulting or research leadership, quantitative interpretation, AI-assisted research experience, and cross-functional collaboration. Production coding is not required for the business-led role.

Develop decision-intelligence models and reusable analytical services for market research and advisory use cases. Responsibilities include preparing and validating data, building forecasting, segmentation, scoring, and optimization models, running simulations, quantifying uncertainty, documenting assumptions, and packaging analyses into reproducible notebooks, pipelines, or services. The role also requires monitoring model and data changes, explaining results to advisors, and supporting governed AI-enabled business solutions.