PwC Analytics Machine Learning Manager in Fayetteville, Arkansas
Specialty/Competency: IFS - Finance
Industry/Sector: Not Applicable
Time Type: Full time
Travel Requirements: Up to 20%
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 Finance Systems and Processes team supports PwC’s financial systems business operations processes and alignment with strategic vision. You’ll focus on providing Finance systems representation on projects, handling production issues, conducting trend analysis of tickets for enhancements as well as assisting in managing inventory for all Finance systems and tools.
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 :
High School Diploma
Minimum Years of Experience :
Preferred Qualifications :
Degree Preferred :
Preferred Knowledge/Skills :
Demonstrates extensive abilities and/or proven record of success as a team leader in the following areas:
Working with large, complex data sets to extract value added insights while structuring comprehensive evidence to support the results;
Interpreting data sets to generate recommendations for action and identify future focus areas for stakeholder consideration;
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;
Utilizing artificial intelligence and machine learning algorithms to assess potential business risks and detect anomalies;
Demonstrating proficiency in Python, R, Github;
Evaluating ML platforms/tools and working with MLOps Team to build end to end ML pipeline;
Understanding of agile mindset and operating within a defined sprint process from ideation to delivery;
Working in a fast-paced environment with multiple projects and priorities;
Possessing accuracy, attention to detail, and project management skills;
Demonstrating written and verbal communication skills;
Translating complex issues into understandable, actionable items;
Possessing customer service and problem solving capabilities;
Assimilating quickly within a team and developing business acumen;
Working independently and as a team member towards successful overall team goals;
Coaching and mentoring team members using PwC professional framework; and,
Demonstrating proficiency in GSuite including, but not limited to, Mail, Calendar, Sheets, Docs, Drive and Hangouts.
At PwC, our work model includes three ways of working: virtual, in-person, and flex (a hybrid of in-person and virtual). Visit the following link to learn more: https://pwc.to/ways-we-work.
PwC does not intend to hire experienced or entry level job seekers who 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.
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.
For positions in Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: https://pwc.to/coloradoifsmanager.