Seeking a highly skilled Associate Tech Lead specialized in AI/ML to guide the design, development, and deployment of advanced analytical and machine learning solutions.
Responsibilities
Execute and own end-to-end development of AI/ML systems, from data ingestion and feature engineering to model deployment and monitoring.
Provide inputs for the architectural direction of machine learning platforms, ensuring scalability, security, performance, and alignment with organizational standards.
Lead the evaluation, selection, and integration of AI technologies, frameworks, and tools, including GenAI solutions.
Collaborate with product, and domain teams to translate business requirements into well-designed ML architectures and solution roadmaps.
Oversee ML model lifecycle management, including experimentation, versioning, CI/CD integration, and continuous improvement.
Requirements
Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related technical field
This role will be a key member of SCAN's Medical Economics Analytics team, responsible for identifying, quantifying, and helping capture total cost of care (TCOC) savings opportunities across the health plan's core medical cost management levers.
Lead independent investment research, develop analytical frameworks, and partner with data science and engineering teams to support capital deployment decisions.
Responsibilities
Own self‑managed research roadmap
Conduct independent deep‑dive research sprints
Define requirements for dynamic analytics tools
Build MVPs and prototypes using AI‑assisted tools
Analyze housing market trends and macroeconomic factors
Requirements
Bachelor's or master's degree in Data Science, Statistics, Economics, Finance, Applied Mathematics, Computer Science, Engineering, or a related quantitative field
Nice to have: Master's degree or PhD in Data Science, Statistics, Economics, Finance, Operations Research, or MBA with a quantitative focus
Nice to have: Experience within real estate, private equity, investment management, asset management, or financial services
Nice to have: Experience developing predictive pricing, forecasting, or optimization analyses
Nice to have: Experience utilizing geospatial analytics and external market data sources
Responsible for performing general analytics and statistical modeling on existing data sets in various areas of the business. Includes defining data requirements, collection, processing, cleaning, analysis, modeling and visualization.
Responsibilities
Defining data requirements
Data collection
Processing and cleaning data
Analysis, modeling, and visualization of data sets
Examines and identifies data patterns and trends to help-answer business questions and improve decision making
Responsible for performing general analytics and statistical modeling on existing data sets in various areas of the business. Activities include defining data requirements, data collection, processing, cleaning, analysis, modeling, and visualization.
Apply data science and analytical methods (such as segmentation, trend analysis, statistical modeling, and GenAI-enabled synthesis) to claims, clinical, and contract data to identify, size, and prioritize total cost of care (TCOC) savings opportunities.
Leverage strong health plan operations knowledge and business acumen to identify and prioritize total cost of care opportunities based on SCAN’s highest-value medical cost management levers.
Create requirements, test and validate analyses, communicate findings and savings opportunity sizing to Medical Economics, Finance, Network, and Clinical business partners, and support opportunity tracking through implementation.
Help shape and implement SCAN’s medical economics analytics and AI strategy in coordination with key stakeholders across the company.
Manage multiple projects at a time based on the priorities and delivery methodologies of the Medical Economics Analytics team, while also being a mentor to other analytics practitioners.
Requirements
Bachelors Degree in statistics, mathematics, computer science, or related field
Graduate or Advanced Degree in statistics, mathematics, computer science, or related field
Associate Tech Lead - Data ScienceNewTrane Technologies · Bangalore, India