Data Science Manager - Pharmaceutical

Key Skills

Data Mining, Microsoft-Excel, Python Programming, QlikView, R Programming, Sass, SQL, Tableau, VBA

Job Description

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.

Submit you Applications at PwC