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Payer Healthcare Data Scientist, Senior Manager

PwC

New York, NYJob$124–280K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$124–280K/yr
Location
New York, NY
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Requirements

Credentials this posting asks for.

Bachelor's degree, required

Job overview

As a Payer Healthcare Data Scientist, Senior Manager, the role leads client-facing data science efforts for the health services sector. It shapes analysis, statistical modeling, and visualizations to inform strategy and operations, while coordinating multidisciplinary teams and communicating findings. The position also coaches teams through complex problem-solving and contributes to payer modernization initiatives.

Skills & qualifications

RequiredNice to have

Skills

Healthcare Payer Data Science, nice to haveStatistical Modeling, nice to haveClient Communication, nice to haveAnalytical Team Leadership, nice to havePython, nice to haveR, nice to haveSQL, nice to haveData Visualization, nice to have

Qualifications

Bachelor's Degree, required7+ Years Experience, requiredAccounting or Related, nice to haveAnalytics/Data Science or Related, nice to haveArtificial Intelligence/Robotics or Related, nice to haveBusiness Administration/Management or Related, nice to haveComputer Science/Information Systems or Related, nice to haveCybersecurity or Related, nice to haveEngineering or Related, nice to haveMathematics/Statistics or Related, nice to haveOperations/Supply Chain or Related, nice to haveProject/Technology Management or Related, nice to have

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off

Full job description

The Opportunity

As a Payer Healthcare Data Scientist you will focus on advanced analytics and statistical techniques to extract insights from large datasets and support data-driven decision making within our Advisory practice. As a Senior Manager you will lead large projects, leverage your influence and network, coach teams through complex problem-solving, and use sound judgment to decide when to act and when to escalate.

In this role at PwC, you will guide client-facing data science efforts for the health services sector, shaping exploratory and descriptive analysis, statistical modeling, and data visualizations that help inform strategy and operational decisions. You will also bring together multidisciplinary teams, communicate findings in a clear and compelling way, and contribute to the development of inclusive teams that deliver consistent results across payer modernization initiatives.

Responsibilities

  • Leading healthcare payer data science initiatives that turn complex claims, membership, and operational data into actionable insights

  • Advising client stakeholders on analytics approaches that support payer modernization, operating model improvement, and member experience priorities

  • Developing statistical models, predictive algorithms, and machine learning solutions for risk adjustment, utilization trends, and population health use cases

  • Directing exploratory analysis, feature engineering, and data quality validation across large-scale healthcare data sources

  • Coordinating data science workstreams across technical teams and client leaders to move from business question to model output

  • Translating analytical findings into clear narratives, visualizations, and recommendations for decision makers

  • Reviewing model performance, interpreting results, and adjusting methods based on feedback and observed outcomes

  • Coaching team members through complex problem solving, analytical design choices, and delivery of client-facing work

  • Applying healthcare payer knowledge, regulatory awareness, and technology fluency to frame analytics solutions within operational constraints

  • Identifying opportunities to improve data pipelines, modeling workflows, and analytical methods for repeatable delivery

What You Must Have

  • At least a Bachelor's degree

  • At least 7 years of experience

What Sets You Apart

  • Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance

  • Demonstrating healthcare payer data science experience in advisory settings

  • Applying statistical modeling to member, claims, or utilization data

  • Translating complex findings into clear client-ready narratives

  • Leading analytical teams through ambiguous, multi-stakeholder projects

  • Using Python, R, SQL, or visualization tools for insights

The salary range for this position is: $124,000 - $280,000. 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.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

How this job compares

Set against the 4,331 open Data Scientist jobs on Olive Jobs, counted November 14, 2026.

Pay
  • This posting$124–280K/yr
  • New York median$150–214K/yr323 salary ranges
  • US median$133–212K/yr3,500 salary ranges

This range's midpoint, $202K, is 9% above the New York median midpoint ($186K) — in the middle half of Data Scientist salary ranges in New York.

Openings
Olive Jobs lists 381 open Data Scientist jobs in New York and 4,331 across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 7 years of experience — more than three in four Data Scientist postings that state a minimum ask for (median 5 years, across 3,758 postings).
Education
This posting asks for a bachelor's degree; 2,169 of the 4,331 open Data Scientist jobs (50%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 14, 2026. Figures based on too few postings are left out.

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