Data Science Engineer (Experienced Associate)

<br>A career in Products and Technology is an opportunity to bring PwC's strategy to life by driving products and technology into everything we deliver. Our clients expect us to bring the right people and the right technology to solve their biggest problems; Products and Technology is here to help PwC meet that challenge and accelerate the growth of our business. We have skilled technologists, data scientists, product managers and business strategists who are using technology to accelerate change. Our team designs, develops and programs the methods, processes, and systems that are used to collect all forms of data and develop models that serve predictions to applications, automated process flows, and stakeholders. A Data Scientist collects domain context from stakeholders, defines hypothesis and prediction tasks, identifies and creates supporting data sources, conducts experiments with various algorithms to model prediction tasks, undertakes validation and tests of models to improve performance, produces pipelines that can be used to automate training and predictions with unseen or production data, identifies meaningful insights from data sources, and contextualizes model outputs to communicate with stakeholders (product owners, process managers, and end consumers).<br><br><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 an Associate, you&
39;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>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, 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, 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><br><br><p><b><u>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>Bachelor&
39;s degree or in lieu of a degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college.</p><p><b>Minimum Years of Experience</b><span>:</span><br /><span>1 year(s)</span><br /><br /><b><u>Preferred Qualifications</u></b><span>:</span><br /><br /><b>Preferred Knowledge/Skills</b><span>:</span></p><p>Demonstrates some knowledge and/or a proven record of success in the following areas:</p><ul><li>Programming experience with Python;</li><li>Understanding of data science concepts and principles;</li><li>Understanding of common machine learning libraries, including scikit-learn, pandas, numpy, scipy, NLTK, and PyTorch;</li><li>Working with a wide range of supervised and unsupervised machine learning algorithms, including regression, classification, clustering, anomaly detection, time series analysis, forecasting, dimensionality reduction, etc.;</li><li>Working with Predictive modeling;</li><li>Understanding of Natural Language Processing concepts and large language models, including SPACY, embeddings, transfer learning, transformers, and deep learning models for NLP;</li><li>Understanding of mathematical, statistical, and probabilistic frameworks underlying machine learning algorithms;</li><li>Building and fine-tuning machine learning solutions and leveraging specific machine learning architectures (e.g. deep neural networks, RNNs, CNNs, BERT, etc).; and,</li><li>Possessing the ability to quickly learn, understand and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space. </li></ul><br>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.<br><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: https://pwc.to/H-1B-Lottery-Policy.<br><br>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.<br><br>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.<br><br>For positions in California, Colorado, New York City, Washington State, and Westchester County (NY), please visit the following link for pay range information: https://pwc.to/payrange-v1-productstechassociate2<br><br>
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