PwC Intelligence_Insights Factory_Senior Associate_Commercial Data & Analytics_Health Industries
PwC Intelligence_Insights Factory_Senior Associate_Commercial Data & Analytics_Health Industries
Posted on :
21-06-2025
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1 Vacancy
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Advisory - OtherManagement Level
Senior AssociateJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth.Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models conducting statistical analysis and creating data visualisations to solve complex business problems.
Experience in commercial data & analytics strategy or related roles within Health Industries (Pharmaceuticals Biotech Medical Devices Payer or Provider).
You will play a crucial role in organizing & maintainingproprietary datasets and transforming data into insights & visualizationsthat drive strategic decisions for our clients and the firm. Youllwork closely with the industry leader & a number ofcross-functional Health Industries advisory tax and assurance professional teams to develop high-impact commercially relevant insights to infuse into thought leadership external media engagement demand generation client pursuits & delivery enablement.
Knowledge and Skills Preferred
Demonstrates in- depth level abilities and/or a proven record of success managing efforts with identifying and addressing client needs:
- As a critical member of a team of Health Industries data scientists maintain and analyze large complex healthcare datasets to uncover insights that inform topics such as patient behavior market dynamics regulatory trends provider and payer performance innovation adoption access to care pricing strategies and operational optimization;
- Support in the identification of new cutting-edge healthcare data sources (e.g. real-world evidence claims data clinical trial registries formulary data) that add to the firms differentiation among competitors and deepen value to clients;
- Building predictive models and data-led tools that inform strategic decisions across payer provider pharma and medtech sectors;
- Design and conduct experiments (e.g. policy impact analysis intervention efficacy testing treatment adherence modeling) to measure effectiveness of healthcare initiatives and support continuous improvement;
- Partner with the US team and healthcare business stakeholders and client teams to translate analytical findings into actionable recommendations and compelling narratives that support clinical financial and operational decision-making;
- Develop dashboards and reports using tools like Tableau Power BI or Looker to support self-service analytics stakeholder engagement and regulatory reporting;
- Stay up to date and ahead of industry trends patient and provider behavior patterns and emerging technologies shaping the healthcare landscape;
- Experience managing high-performing data science and commercial analytics teams with deep healthcare domain knowledge;
- Strong SQL and Alteryx skills and proficiency in Python and/or R for healthcare data manipulation modeling and visualization;
- Experience applying machine learning or statistical techniques to real-world healthcare challenges including cost forecasting population health management or precision medicine applications;
- Solid understanding of key healthcare metrics (e.g. PMPM readmission rates utilization adherence access NPS etc.);
- Proven ability to explain complex healthcare data concepts to non-technical stakeholders across payer provider and life sciences environments
- Experience with healthcare datasets such as IQVIA Clarivate Evaluate Pharma Citeline AIS Health Symphony Health etc.
- Knowledge of geospatial or time-series analysis in a healthcare setting (e.g. site-of-care optimization treatment seasonality regional variation in access)
- Prior work with pricing strategy access and reimbursement modeling value-based care analytics or health equity assessment.
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Optional Skills
Accepting Feedback Accepting Feedback Active Listening Analytical Thinking Artificial Intelligence Big Data C Programming Language Communication Complex Data Analysis Creativity Data-Driven Decision Making (DIDM) Data Engineering Data Lake Data Mining Data Modeling Data Pipeline Data Quality Data Science Data Science Algorithms Data Science Troubleshooting Data Science Workflows Deep Learning Embracing Change Emotional Regulation Empathy 17 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Up to 20%Available for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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