Payer Healthcare Data Scientist, Manager
Opportunity
As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable insights that reduce cost of care and improve population health outcomes for our payer clients.
The Opportunity
- Apply advanced data science and machine learning methodologies to analyze vast claims and clinical data
- Generate actionable insights aimed at reducing healthcare costs and enhancing population health
- Lead and mentor teams while managing client relationships and expectations
- Secure successful project execution while upholding quality standards
- Collaborate with industry leaders to develop innovative analytics solutions
- Present findings and strategies to senior stakeholders, including Chief Actuaries
- Play a key role in the development of new analytics products for payer strategies
- Foster a culture of continuous improvement and knowledge sharing within the team
Responsibilities
- Apply advanced data science and machine learning methodologies to analyze vast claims and clinical data
- Generate actionable insights aimed at reducing healthcare costs and enhancing population health
- Lead and mentor teams while managing client relationships and expectations
- Secure successful project execution while upholding quality standards
- Collaborate with industry leaders to develop innovative analytics solutions
- Present findings and strategies to senior stakeholders, including Chief Actuaries
- Play a key role in the development of new analytics products for payer strategies
- Foster a culture of continuous improvement and knowledge sharing within the team
Requirements
- Bachelor's Degree
- At least 6 years of experience in data science and machine learning
- Master's Degree in Statistics, Computer Science, Applied Mathematics, Biotechnology preferred
- Prior consulting or advisory firm experience preferred
- Contributing to commercial analytics product development
- Familiarity with NCQA HEDIS specifications and CMS Star Ratings
- Knowledge of government payer programs and Medicaid
- Experience with NLP or unstructured clinical text
- Exposure to social determinants of health data integration
Qualifications
- Master's Degree in Statistics, Computer Science, Applied Mathematics, Biotechnology preferred
- Prior consulting or advisory firm experience preferred
- Contributing to commercial analytics product development
- Familiarity with NCQA HEDIS specifications and CMS Star Ratings
- Knowledge of government payer programs and Medicaid
- Experience with NLP or unstructured clinical text
- Exposure to social determinants of health data integration
Skills
- Analyse and identify the linkages and interactions between the component parts of an entire system
- Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion
- Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables
- Develop skills outside your comfort zone, and encourage others to do the same
- Effectively mentor others
- Use the review of work as an opportunity to deepen the expertise of team members
- Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements
Benefits
- Paid time off
- Medical, dental, and vision insurance
- 401(k) retirement plan
- Holiday pay
- Personal and family sick leave
- Discretionary bonus
Pay
The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.
Schedule
Full-time
Travel
Up to 80%
Company Description
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 that 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.
How We Work
To view how we work, please visit the following link: https://pwc.to/how-we-work