Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads teams in designing and deploying scalable AI and machine learning solutions for consulting clients. Responsibilities include data wrangling, complex analysis, data modeling, AI system implementation, data pipeline and infrastructure oversight, deep learning, neural networks, data quality validation, and stakeholder collaboration. The manager coaches team members, manages performance, supports innovation, and applies Python, Java, and cloud technologies to build production-ready AI applications.
Top Skills:
AWSCloud PlatformsData PipelinesDatabricksDeep LearningGCPJavaMachine Learning LibrariesAzureNatural Language Processing (Nlp)Neural NetworksPythonSnowflake
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Analyzes operational challenges, market trends, and performance data to develop strategic recommendations for clients. Manages consulting workstreams, supports operations strategy initiatives, reviews deliverables, builds client relationships, and mentors junior team members. The role requires translating complex business issues into practical actions that improve efficiency and growth.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads client cybersecurity incident response workstreams, overseeing triage, investigation, containment, eradication, recovery, root cause analysis, and remediation. Manages response plans, escalations, priorities, and client communications during security events. Coaches team members, reviews technical deliverables, applies cybersecurity frameworks and governance practices, and improves vulnerability management, threat detection, incident management, response playbooks, and organizational resilience.
Top Skills:
Cybersecurity FrameworksDigital ForensicsIncident ResponseLog AnalysisSecurity OperationsThreat IntelligenceVulnerability Management
Analyzes workforce and healthcare data to identify trends, build predictive and machine learning models, and deliver actionable recommendations. Uses Python, Alteryx, and Power BI for analytics, visualization, and reporting. The role supports workforce strategy, employee engagement, organizational effectiveness, talent management, and healthcare cost insights. Responsibilities also include client collaboration, relationship management, team guidance, and applying risk adjustment and medical economics concepts to inform strategic decisions.
The Opportunity
As a Health Data Science Consultant- Senior Associate, you will engage with clients to analyze workforce data, identify trends, and develop predictive models that drive strategic decisions and enhance employee performance. Within our Workforce Consulting practice, you will focus on leveraging data and insights to optimize workforce strategies, improve employee engagement, and drive organizational effectiveness. In this role, you will provide actionable recommendations that help clients make informed workforce decisions.
As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality outcomes. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will utilize a broad range of tools and methodologies to generate new ideas and solve problems. You will interpret data to inform insights and recommendations, upholding professional and technical standards. This position offers a dynamic environment where you can develop a deeper understanding of the business context and how it is evolving.
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
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- 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
- 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
The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
#LI-Hybrid
#BI-Hybrid
As a Health Data Science Consultant- Senior Associate, you will engage with clients to analyze workforce data, identify trends, and develop predictive models that drive strategic decisions and enhance employee performance. Within our Workforce Consulting practice, you will focus on leveraging data and insights to optimize workforce strategies, improve employee engagement, and drive organizational effectiveness. In this role, you will provide actionable recommendations that help clients make informed workforce decisions.
As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality outcomes. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will utilize a broad range of tools and methodologies to generate new ideas and solve problems. You will interpret data to inform insights and recommendations, upholding professional and technical standards. This position offers a dynamic environment where you can develop a deeper understanding of the business context and how it is evolving.
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
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- 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
- 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
The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
#LI-Hybrid
#BI-Hybrid
PwC New York, New York, USA Office
300 Madison Ave, New York, NY, United States, 10017
PwC Florham Park, New Jersey, USA Office
400 Campus Drive, Florham Park, NJ, United States, 7932
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