Data Scientist (HIA)
New York, NY

Job Description

A career in our Analytics Technology practice, within Data and Analytics Technology services, will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. You'll make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence. As part of our team, you'll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights.

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

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

* New technology learning and quickly evaluating their technical and commercial viability;
* Machine learning techniques for addressing a variety of problems (e.g. consumer segmentation, revenue forecasting, image classification, etc.); and,
* Machine learning algorithms (e.g. k-nearest neighbors, random forests, ensemble methods, deep neural networks, etc.) and when it is appropriate to use each technique.

Demonstrates thorough abilities and/or a proven record of success as a team leader including the following areas:

* Building machine learning models and systems, interpreting their output, and communicating the results;
* Moving models from development to production; and,
* Conducting research in a lab and publishing work.

Demonstrates thorough abilities and/or a proven record of success with a subset of the following technologies:

* Programming including Python, R, Java, JavaScript, C++, Unix Hardware, sensors, robotics, GPU enabled machine learning, FPGAs, and Raspberry Pis, etc.;
* Data Storage Technologies including SQL, NoSQL, Hadoop, cloud-based databases such as GCP BigQuery, and different storage formats (e.g. Parquet, etc.);
* Data Processing Tools including Python (Numpy, Pandas, etc.), Spark, and cloud-based solutions such as GCP DataFlow;
* Machine Learning Libraries including Python (scikit-learn, genism, etc.), TensorFlow, Keras, PyTorch, and Spark MLlib;
* Visualization including Python (Matplotlib, Seaborn, bokeh, etc.), and JavaScript (d3); and,
* Productionization and containerization technologies including GitHub, Flask, Docker, and Kubernetes.

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.