Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc).
Own the Numbers: You'll handle the monthly portfolio performance reporting inside out—digging into investment returns, checking risk metrics, and running benchmark comparisons that the investment team relies on.
Client Leadership: Partner closely with sales to translate data-driven insights and measurement into actionable strategies that improve business performance for our clients and agency partners
Assist data scientists in performing public healthcare research and development in line with the organization's vision within the digital health and wellness domain
Bachelor's, Master's or PhD degree in a Science, Technology, Engineering or Mathematics (STEM)-related field with at least 1.5 years of relevant experience, or a degree in a non-STEM field with at least 4 years of relevant experience
Quick Commerce Analysis: Utilize analytical methodologies ranging from data modeling to descriptive/predictive/prescriptive analytics in order to measure incremental impact and make actionable recommendations on quick commerce investments (e.g. dark store expansion, assortment changes, delivery fee adjustments, discounting), customer conversion funnel, cost/margin optimization, and tactical execution of quick commerce initiatives.
People Sciences Strategy: Define and execute the enterprise-wide roadmap, progressing from descriptive and diagnostic analytics to predictive insights, statistical testing and prescriptive decision models.
Immerse in clients’ businesses to understand their goals and requirements, translating insights into actionable data strategies through a deep understanding of business dynamics.
Immerse yourself in the core of our clients' businesses, grasping their goals and demands, and transforming these insights into actionable data strategies through a rich understanding of business dynamics.
Portfolio Analytics: support the monitoring and analysis of ALM portfolios, including Profit & Loss (P&L), issuer limits, PV01, CS01, and other key portfolio risk metrics
Support the automation and digitalisation of HR processes across the employee lifecycle (recruitment, onboarding, performance management, learning, employee services, etc.).
Develop statistical analysis plans for population health, survivorship and health economics studies under the guidance of the Principal Investigator or Reporting Officer.