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PwC Data Science Manager - Pharmaceutical in Washington, District Of Columbia

Line of Service: Advisory

Specialty/Competency: Analytics

Industry/Sector: Pharma and Life Sciences

Time Type: Full time

Government Clearance Required: No

Available for Work Sponsorship: Yes

Travel Requirements: Up to 60%

A career in our Analytics Technology practice, within Data and Analytics Technology services, will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. You’ll make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence. As part of our team, you’ll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

  • Develop new skills outside of comfort zone.

  • Act to resolve issues which prevent the team working effectively.

  • Coach others, recognise their strengths, and encourage them to take ownership of their personal development.

  • Analyse complex ideas or proposals and build a range of meaningful recommendations.

  • Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.

  • Address sub-standard work or work that does not meet firm's/client's expectations.

  • Use data and insights to inform conclusions and support decision-making.

  • Develop a point of view on key global trends, and how they impact clients.

  • Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.

  • Simplify complex messages, highlighting and summarising key points.

  • Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences :

Basic Qualifications :

Minimum Degree Required :

Bachelor Degree

Required Fields of Study :

Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics

Additional Educational Requirements :

Other quantitative fields of study may be considered

Minimum Years of Experience :

6 year(s)

Required Knowledge and Skills :

Demonstrates extensive-level, abilities success with managing the identification and addressing of client needs:

  • Analyzing large and complex data sets to solve business challenges and present insights to non-analytics minded individuals;

  • Understanding personal and team roles; contributing to a positive working environment by building relationships with team members; proactively seeking guidance, clarification and feedback;

  • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various management levels and external;

  • Identifying new and novel data sources to unlock insights based on client and project requirements;

  • Leveraging knowledge of such sources to identify opportunities beyond the immediate project;

  • Understanding of Healthcare, specifically pharmaceutical;

  • Working experience with external and internal data sources to support payer, provider and product insights; including IQVIA Rx and claims data, claims data, HCP affiliations data, amongst other standard pharma data sources;

  • Demonstrating experience working with visualization techniques and tools, advanced analytics techniques (regression, simulation, etc.), statistical Analysis and Techniques;

  • Understanding Business and Operations Analysis within marketing and operations, or risk analysis using quantitative techniques within Pharma and Life Sciences Industries;

  • Understanding Commercial Analytics experience within Pharma and Life Sciences Industries; and,

  • Possessing working experience with SQL, SAS, R, Python, Tableau, Qlik, Microsoft Excel, VBA, data mining or data cleansing techniques.

Preferred Qualifications :

Degree Preferred :

Master of Science

Preferred Knowledge/Skills :

Demonstrates extensive abilities and/or a proven record of success in executing various aspects of the business or information technology-related client engagements and/or projects within a professional services environment, including knowledge of an industry or functional domain and specialization in at least two of the following areas:

  • Understanding Statistical Analysis and Techniques;

  • Understanding Customer, Product and Pricing Analysis;

  • Possessing working knowledge with Business and Operations Analysis within marketing, operations, or risk analysis using quantitative techniques;

  • Working with advanced analytics techniques (regression, simulation, etc.);

  • Having applicable sources of external, internal or new data sources to support analytic methods and visualization techniques; and,

  • Analyzing large and complex data sets to solve business challenges and present insights to non-analytics minded individuals.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

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