Senior/Manager, Data Science & Analytics (2 years contract)
Core
Develop and deploy GenAI and classical machine learning models to drive behavioral change, optimize internal productivity, and enable personalized health interventions.
Role type
Senior IC data scientist (GenAI/ML)
Builds
Production ML models, AI-powered productivity tools (chatbots, automated workflows), and predictive models for lifestyle interventions.
Domain
Digital health / Public sector
Deliverable
production ML models
Required skills
Python, SQL, R, PySpark, cloud-based analytics platforms, Spark Ecosystems, Microsoft Azure, feature engineering, model deployment
Preferred skills
Professional certifications in data science/ML/business analytics, experience in agile/matrix environments, stakeholder negotiation, strategic mindset
Technologies
Microsoft Azure, Spark Ecosystems
Responsibilities
Co-develop and deploy GenAI and classical ML models with data scientists and external partners; perform feature engineering on diverse real-world and health sector data; deliver AI tools for internal productivity and predictive models for targeted health interventions.
Seniority
Mid-level, hands-on IC