Machine Learning Senior Associate

<div data-field='Description' class='jd-Description'><p>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&rsquo;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. </p><p>Our Finance Systems and Processes team supports PwC&rsquo;s financial systems business operations processes and alignment with strategic vision. You&rsquo;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.</p><p></p><p>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.</p><p></p><p>As a Senior Associate, 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:</p><p></p><ul><li>Use feedback and reflection to develop self awareness, personal strengths and address development areas.</li><li>Delegate to others to provide stretch opportunities, coaching them to deliver results.</li><li>Demonstrate critical thinking and the ability to bring order to unstructured problems.</li><li>Use a broad range of tools and techniques to extract insights from current industry or sector trends.</li><li>Review your work and that of others for quality, accuracy and relevance.</li><li>Know how and when to use tools available for a given situation and can explain the reasons for this choice.</li><li>Seek and embrace opportunities which give exposure to different situations, environments and perspectives.</li><li>Use straightforward communication, in a structured way, when influencing and connecting with others.</li><li>Able to read situations and modify behavior to build quality relationships.</li><li>Uphold the firm's code of ethics and business conduct.</li></ul><p></p><p></p><p><b><u>Job Requirements and Preferences</u></b><span>:</span></p><p><b><u>Basic Qualifications</u></b><span>:</span></p><p><b>Minimum Degree Required</b><span>:</span><br><span>High School Diploma</span></p><p><b>Minimum Years of Experience</b><span>:</span><br><span>2 year(s)</span></p><p><b><u>Preferred Qualifications</u></b><span>:</span></p><p><b>Degree Preferred</b><span>:</span><br><span>Bachelor Degree</span></p><p><b>Preferred Knowledge/Skills</b><span>:</span></p><p>Demonstrates thorough abilities and/or a proven record of success in the following areas:</p><ul><li>Solving complex problems using cutting edge technology and methodologies;</li><li>Collaborating with stakeholders/leaders to understand business problems and driving solutions through analysis;</li><li>Working with multiple data sets across the organization to extract value added insights while structuring comprehensive evidence to support results;</li><li>Leveraging data mining and statistical data analysis techniques to analyze historical trends and forecast future probabilities;</li><li>Generating predictive models to enhance budgeting and forecasting, strategic planning, and decision making;</li><li>Utilizing artificial intelligence and machine learning algorithms to assess potential business opportunities, risks and detect anomalies;</li><li>Interpreting financial data to make recommendations for action and identify future focus areas for stakeholder consideration;</li><li>Utilizing statistical and programming languages such as R, SAS, Python, SQL, etc. to transform data and formulate conclusions;</li><li>Leveraging statistical techniques, machine learning, and artificial intelligence approaches and how to apply each appropriately to deliver effective solutions;</li><li>Understanding of firm-wide business intelligence and machine learning resources/platforms such as Alteryx, PowerBI, MS Azure and other analytical tools;</li><li>Demonstrating experience in building and maintaining relationships with business partners, leaders and stakeholders;</li><li>Possessing a high-level understanding of ML project deployment;</li><li>Conducting independent research in unfamiliar ML methods/areas to find appropriate ways to solve complex problems; and,</li><li>Self upskilling and promoting innovation, sharing knowledge and ideas with the team, while vetting and presenting project initiatives with team leaders and stakeholders. </li></ul></div><br><p>For positions in Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: <a href='https://pwc.to/coloradoifsseniorassociate' style='color:
0000FF; text-decoration: underline;'>https://pwc.to/coloradoifsseniorassociate</a>.</p><br><p>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.</p><br>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: <a href='https://pwc.to/H-1B-Lottery-Policy' style='color:
0000FF; text-decoration: underline;' >https://pwc.to/H-1B-Lottery-Policy</a><br><br><p>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.</p> <span style='display:none'>278596</span><br><p>Please note that, at this time, to be in-person at a PwC office, client location or PwC-sponsored events, you must be fully vaccinated against COVID-19.</p> <br><br>
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