Health Data Science Consultant- Senior Associate

Summary

PwC is a professional services firm seeking a Health Data Science Consultant - Senior Associate for its Workforce Consulting practice. The role analyzes workforce and healthcare data, develops predictive models, and provides actionable recommendations to improve workforce strategies, employee engagement, and organizational effectiveness.

Responsibilities

• Analyzing client workforce data to identify trends and develop predictive models
• Leveraging data insights to provide actionable recommendations for workforce decisions
• Developing and implementing strategies to optimize workforce and enhance employee engagement
• Utilizing analytics software and tools such as Alteryx and Power BI for data visualization and reporting
• Collaborating with clients to understand their human resources needs and deliver tailored solutions
• Applying machine learning techniques to improve data-driven decision-making processes
• Conducting complex data analysis to support organizational development and talent management initiatives
• Building and maintaining client relationships to drive strategic decisions and improve performance
• Guiding teams in the use of emerging technologies and innovative methodologies in workforce analytics
• Interpreting data to inform insights and recommendations for enhancing organizational effectiveness

Skills

• - At least a Bachelor's degree
• - At least 3 years of experience
• - Assessing healthcare claims data, including standard code sets such as ICD, CPT, HCPCS, NDC, and DRG
• - Building machine learning models across regression, classification, gradient boosting, and clustering, with disciplined validation practices
• - Applying risk adjustment methodologies such as HCC, CDPS, and HHS-HCC, along with medical economics concepts including PMPM, trend, total cost of care, and MLR
• - Utilizing advanced data analytics tools like Alteryx and Power BI
• - Developing predictive models using machine learning techniques
• - Excelling in complex data analysis and data-driven decision making
• - Demonstrating proficiency in Python for data analysis
• - Navigating ambiguity with critical thinking and problem-solving skills
• - Building meaningful client relationships through effective communication
• Up to 60%
• - Preference for at least one of the following fields of study: Accounting, Actuarial Science, Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Finance, Financial Mathematics/Quantitative Finance, Government/Public Policy, Health Administration/Public Health, Human Resources/Industrial Relations, Mathematics/Statistics, Organizational Management/Behavior, Psychology/Social Psychology, Social Sciences/Humanities, Taxation

Qualifications

Must Haves

• - At least a Bachelor's degree
• - At least 3 years of experience
• - Assessing healthcare claims data, including standard code sets such as ICD, CPT, HCPCS, NDC, and DRG
• - Building machine learning models across regression, classification, gradient boosting, and clustering, with disciplined validation practices
• - Applying risk adjustment methodologies such as HCC, CDPS, and HHS-HCC, along with medical economics concepts including PMPM, trend, total cost of care, and MLR
• - Utilizing advanced data analytics tools like Alteryx and Power BI
• - Developing predictive models using machine learning techniques
• - Excelling in complex data analysis and data-driven decision making
• - Demonstrating proficiency in Python for data analysis
• - Navigating ambiguity with critical thinking and problem-solving skills
• - Building meaningful client relationships through effective communication
• Up to 60%

Nice to Haves

• - Preference for at least one of the following fields of study: Accounting, Actuarial Science, Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Finance, Financial Mathematics/Quantitative Finance, Government/Public Policy, Health Administration/Public Health, Human Resources/Industrial Relations, Mathematics/Statistics, Organizational Management/Behavior, Psychology/Social Psychology, Social Sciences/Humanities, Taxation

Benefits

• All hired individuals are eligible for an annual discretionary bonus.
• Medical
• Dental
• Vision
• 401k
• Holiday pay
• Vacation
• Personal and family sick leave