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This is a hands‑on builder role for candidates who thrive in ambiguity, move quickly from idea to production, and are energized by turning complex business problems into scalable data products. Mentor junior Data Scientists and contribute to the technical growth of the founding team. Proven abilit

In this role you will work with population-scale genomic datasets from our on-market commercial product and first-in-class clinical studies to model real‑world interactions between technical, biological and clinical factors that underlie current test performance and gain insights into future innov

Key Responsibilities: • Design and optimize data ingestion pipelines on Azure Databricks • Orchestrate workloads using Azure Data Factory • Apply medallion architecture and data models • Conduct iterative development in an Agile/DevOps framework • Monitor daily data processing for anomalie

Key Responsibilities: • Design and refine financial crime analytics models for detection • Ensure performance and compliance of analytical strategies • Maintain documentation and governance for modeling processes • Act as an expert to support decision-making and methodology explanations •

Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthca

This role serves as a key partner to Regional Chief Data Officers (CDAOs), Data Delivery teams, Data Engineering teams, Analytics organizations, Enterprise Data Platform teams, and AI leadership teams across Sun Life’s global operations. Align with Sun Life’s AI-ready Data Framework, to ensure t

Key Responsibilities: • Lead and empower a team of data scientists • Drive data-informed strategy for marketing initiatives • Measure and assess the impact of marketing spend • Establish industry-standard measurement frameworks • Promote analytics self-service across teams Requirements: �

Domain Expertise: Minimum 10–12 years of experience in the data space, featuring a deep professional literacy across the four core domains: Data Engineering (ETL/ELT, pipeline design), Data Science (predictive modeling, ML execution), Data Architecture (cloud infrastructure, data warehousing), and

Partner with data governance teams to align HR data practices with enterprise standards, including metadata, master data, and data stewardship frameworks. Experience working with data governance frameworks, including metadata and master data management. Work with experts in data strategy and data go

Accountable for ensuring a clear data governance framework is in place, including defining data quality standards, establishing processes to address data quality issues, and supporting governance for data used in AI and advanced analytics solutions. Foster a data-driven culture and the creation of r