PwC Finance Data Scientist, Senior Associate in Tampa, Florida

A career in Finance, within Internal Firm Services, will provide you with the opportunity to help PwC in all aspects of our Finance internal function including financial planning and reporting, data analysis, and assisting leadership with overall strategy. You’ll focus on recording and analysing financial transactions, paying and receiving invoices, maintaining financial statement ledger accounts, and preparing analysis and reconciliations of bills to detect fraud.

Our Financial Analysis and Reporting team is responsible for managing PwC’s financial risk through financial planning and reporting, data analysis, and tactical consulting. As part of the team, you’ll help with budget management, cost benefit analysis, forecasting, shared services and financing.

Responsibilities

As a Senior Associate, 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 several clients, while reporting to Managers and above

  • Train and lead staff

  • Establish effective working relationships directly with clients

  • Contribute to the development of your own and team’s technical acumen

  • Keep up to date with local and national business and economic issues

  • Be actively involved in business development activities to help identify and research opportunities on new/existing clients

  • Continue to develop internal relationships and your PwC brand

Job Requirements and Preferences :

Basic Qualifications :

Minimum Degree Required :

Bachelor Degree

Minimum Years of Experience :

2 year(s)

Preferred Qualifications :

Preferred Knowledge/Skills :

Demonstrates thorough knowledge and/or a proven record of success in the following areas:

  • Collaborating with stakeholders to understand business problems and driving solutions through analysis;

  • Working with multiple data sets across the organization to extract value added insights while structuring comprehensive evidence to support results;

  • Leveraging data mining and statistical data analysis techniques to analyze historical trends and forecast future probabilities;

  • Generating predictive models to enhance budgeting and forecasting, strategic planning, and decision making; and,

  • Utilizing artificial intelligence and machine learning algorithms to assess potential business risks and detect anomalies.

Demonstrates thorough abilities and/or a proven record of success in the following areas:

  • Consolidating and analyzing financial data from multiple data sources to generate meaningful insights;

  • Interpreting financial data to make recommendations for action and identify future focus areas for stakeholder consideration;

  • Utilizing statistical and programming languages such as R, SAS, Python, SQL, etc. to manipulate data and formulate conclusions;

  • Leveraging statistical techniques, machine learning, and artificial intelligence approaches and how to apply each appropriately to deliver effective solutions;

  • Understanding of Firm-wide business intelligence and machine learning resources such as Alteryx, Tableau, DataRobot, ThetaRay and other analytical tools; and,

  • Demonstrating experience in building and maintaining relationships with business partners, finance leaders and stakeholders.

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.