PwC Data Scientist Manager - Advanced Analytics (HIA) in New York, New York
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.
As a Manager, you’ll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to:
Proactively assist in the management of a portfolio of clients, while reporting to Senior Managers and above
Be involved in the financial management of clients
Be actively involved in business development activities to help identify and research opportunities on new/existing clients
Contribute to the development of your own and team’s technical acumen
Develop strategies to solve complex technical challenges
Assist in the management and delivering of large projects
Train, coach, and supervise staff
Keep up to date with local and national business and economic issues
Continue to develop internal relationships and your PwC brand
Job Requirements and Preferences :
Basic Qualifications :
Minimum Degree Required :
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 :
Preferred Qualifications :
Preferred Knowledge/Skills :
Demonstrates extensive knowledge of, and proven success with a role, 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 expertise in at least two of the following areas:
Statistical Analysis and Techniques;
Customer, Product and Pricing Analysis;
Business and Operations Analysis within marketing, operations, or risk analysis using quantitative techniques.
Demonstrates significant experience working with analytical models or techniques and the ability to apply such methods to an applicable challenge within the larger field of expertise. This background should include:
Visualization techniques and tools;
Advanced analytics techniques (regression, simulation, etc.);
Applicable sources of external, internal or new data sources to support analytic methods and visualization techniques;
Healthcare, Insurance, Financial Services, Customer an industrial Products and Services, Manufacturing or Telecom Industries.
Demonstrates extensive skills and success in consulting-related projects within a professional services environment, including:
Analyzing large and complex data sets to solve business challenges and present insights to non-analytics minded individuals;
Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building solid relationships with team members, proactively seeking guidance, clarification and feedback;
Identifying and addressing client needs, building relationships with clients, developing requests for information, demonstrating flexibility in prioritizing and completing tasks, communicating potential conflicts to a supervisor;
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;
Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance;
Applying analytical techniques correlated to business value and selecting the appropriate analytical techniques for the problem at hand.
Demonstrates extensive abilities as a team leader that include the following: leading teams to generate a vision, establish direction and motivate members, create an atmosphere of trust, leverage diverse views, coach staff, and encourage improvement and innovation.
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.
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.
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