PwC Labs - Data Science Associate - Summer/Fall 2022

Our team focuses on the use of the latest automation tools, apply cutting edge analytics and data science, and explore emerging technologies like artificial intelligence as part of the daily mission to deliver new and innovative solutions to business challenges.<p><br>To really stand out and make us fit for the future in a constantly changing world&
44; 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&
44; geographies and career paths&
44; and provides transparency on the skills we need as individuals to be successful and progress in our careers&
44; now and in the future.</p><p></p><p>As an Associate&
44; you&
39;ll work as part of a team of problem solvers&
44; 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>Invite and give in the moment feedback in a constructive manner.</li><li>Share and collaborate effectively with others.</li><li>Identify and make suggestions for improvements when problems and/or opportunities arise.</li><li>Handle&
44; manipulate and analyse data and information responsibly.</li><li>Follow risk management and compliance procedures.</li><li>Keep up-to-date with developments in area of specialism.</li><li>Communicate confidently in a clear&
44; concise and articulate manner - verbally and in the materials I produce.</li><li>Build and maintain an internal and external network.</li><li>Seek opportunities to learn about how PwC works as a global network of firms.</li><li>Uphold the firm&
39;s code of ethics and business conduct.</li></ul><p></p><p></p><p></p><p>As a part of the PwC Labs team&
44; you will be designing & delivering digital solutions that will drive value for PwC & our clients. You will use the latest automation tools&
44; analytics and data science&
44; & emerging technologies like AI as part of your mission to deliver innovative solutions to business challenges. Technology Development roles begin their career focused in one of the following key technology competencies: Software & Data Engineering&
44; Devops Engineering&
44; UI/UX&
44; or Data Science.</p><p></p><p><b><u><br><br>Job Requirements and Preferences</u></b><span>:</span><br /><br /><b><u>Basic Qualifications</u></b><span>:</span><br /><br /><b>Minimum Degree Required</b><span>:</span><br /><span>Bachelor Degree</span><br /><br /><b>Additional Educational Requirements</b><span>:</span></p><p>Preferred Cumulative GPA: 3.0</p><p></p><p>Preferred Major GPA: 3.0</p><p></p><p>Associate positions are entry-level roles and job seekers have completed or are in the process of completing their final academic year of educational requirements.</p><p><b>Minimum Years of Experience</b><span>:</span><br /><span>0 year(s)</span><br /><br /><b><u>Preferred Qualifications</u></b><span>:</span><br /><br /><b>Preferred Fields of Study</b><span>:</span><br /><span>Computer and Information Science&
44; Computer and Information Science & Accounting&
44; Computer Applications&
44; Computer Engineering&
44; Computer Graphics&
44; Digital Communications and Media/Multimedia&
44; Design&
44; Information Technology&
44; Management Information Systems</span><br /><br /><b><br><br>Preferred Knowledge/Skills</b><span>:</span></p><p>Demonstrates some abilities and/or a proven record of success with identifying and addressing client needs using the following tools and programs:</p><ul><li>Machine Learning;</li><li>Deep Learning;</li><li>Natural Language Processing (NLP);</li><li>Programming skills (Python&
44; R&
44; Java&
44; SQL&
44; Jupyter Notebooks&
44; IDEs);</li><li>Data wrangling/modeling;</li><li>Structured data storage technologies (SQL Server&
44; PostgreSQL&
44; etc.);</li><li>Unstructured data storage technologies (MongoDB&
44; Neo4j&
44; etc.);</li><li>Big data tools (e.g.&
44; Hadoop&
44; Spark/PySpark&
44; Kafka);</li><li>Testing tool experiences (e.g.&
44; Selenium&
44; Cucumber&
44; Postman);</li><li>Visualization tools (e.g.&
44; Tableau&
44; Zoomdata&
44; PowerBI);</li><li>DevOps technologies & tools (e.g.&
44; Git&
44; Jenkins&
44; Docker/Kubernetes);</li><li>Cloud Platforms (e.g.&
44; Azure&
44; AWS&
44; GCP); and&
44;</li><li>Scrum/Agile Methodologies.</li></ul><br><br><p>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: <a href='https://pwc.to/ways-we-work' style='color:
0000FF; text-decoration: underline;'>https://pwc.to/ways-we-work</a>. </p> <br><br>
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