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PwC Analytics Data Scientist Manager - TMT in Chicago, Illinois

A career in our Analytics Innovation practice, within Analytics, will provide you with the opportunity to combine consulting and industry expertise with data science capabilities. We use descriptive and predictive analytical techniques to incorporate client, third-party, and proprietary data to help answer questions and design solutions to our clients most pressing business issues.

Our team helps leverage data to rapidly discover, quantify, and deliver value from data with intelligent analytics and scalable end-to-end business solutions. This includes helping our clients drive analytics adoption, accelerating value delivery, developing in house talent, and building solutions and trust in data.

Responsibilities

As a Manager, 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 a portfolio of clients, while reporting to Senior Managers and above

  • Be involved in the financial management of clients

  • Be actively involved in business development activities to help identify and research opportunities on new/existing clients

  • Contribute to the development of your own and team’s technical acumen

  • Develop strategies to solve complex technical challenges

  • Assist in the management and delivering of large projects

  • Train, coach, and supervise staff

  • Keep up to date with local and national business and economic issues

  • Continue to develop internal relationships and your PwC brand

Degree Preferred :

Master Degree

Preferred Fields of Study :

Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics, Mathematics

Preferred Knowledge/Skills :

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

  • Statistical or numerical methods applications, data mining or data-driven problem solving;

  • Statistical modelling, algorithms, data mining and machine learning algorithms;

  • Business development such as client relationship management and leading and contributing to client proposals; and,

  • Delivery within a number of large scale projects, demonstrating ownership of architecture solutions and managing change.

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

  • Communicate project findings orally and visually to both technical and executive audiences;

  • Develop people through effectively supervising, coaching, and mentoring staff;

  • Lead, train, and work with other data scientists in designing effective analytical approaches taking into consideration performance and scalability to large datasets; and,

  • Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources.

Demonstrates extensive abilities and/or a proven record of success in the following areas:

  • Demonstrating fluency in commonly used data science packages including Spark, Pandas, SciPy, and Numpy;

  • Leveraging familiarity with deep learning architectures used for text analysis, computer vision and signal processing;

  • Developing end to end deep learning solutions for structured and unstructured data problems;

  • Developing and deploying A.I. solutions as part of a larger automation pipeline;

  • Utilizing programming skills and knowledge on how to write models which can be directly used in production as part of a large scale system;

  • Understanding of not only how to develop data science analytic models but how to operationalize these models so they can run in an automated context;

  • Using Data visualization software such as tableau and qlikview in addition to web visualization libraries; and,

  • Using common cloud computing platforms including AWS and GCP in addition to their respective utilities for managing and manipulating large data sources, model, development, and deployment.

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.

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.

© 2008-2012 PvC. All rights reserved. "PwC" refers to PricewaterhouseCoopers LLP, a Delaware limited liability partnership, which is a member firm of PricewaterhouseCoopers International Limited, each members firm of which is a separate legal entity.
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