Design, build, and validate predictive models and causal inference solutions to address complex business problems for clients. Manage the full model lifecycle from exploratory analysis through to production deployment and monitoring.
Lead client projects and cross-functional teams to deliver technology solutions on time, within budget, and according to scope. Manage project roadmaps, financial tracking, and client relationships while mentoring other project managers.
This is a general interest application for future roles within a data and AI consultancy. Candidates will be considered for various positions helping clients build strategy, technology, and teams to scale growth.
Research, design, and deploy cutting-edge machine learning models across various industries and use cases. Collaborate with engineers to integrate models into production environments while mentoring team members and communicating complex concepts to stakeholders.
Lead the end-to-end delivery of ML solutions for diverse clients, from scoping and design to deployment. Act as a player-coach by making technical contributions while mentoring junior and senior data scientists.
