PwC Healthcare Data & Analytics Technologies, Senior Associate in Washington, District Of Columbia
Line of Service: Advisory
Specialty/Competency: Data and Analytics Technologies
Industry/Sector: HI X-Sector
Time Type: Full time
Government Clearance Required: No
Available for Work Sponsorship: Yes
Travel Requirements: Up to 80%
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.
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.
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:
Use feedback and reflection to develop self awareness, personal strengths and address development areas.
Delegate to others to provide stretch opportunities, coaching them to deliver results.
Demonstrate critical thinking and the ability to bring order to unstructured problems.
Use a broad range of tools and techniques to extract insights from current industry or sector trends.
Review your work and that of others for quality, accuracy and relevance.
Know how and when to use tools available for a given situation and can explain the reasons for this choice.
Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
Use straightforward communication, in a structured way, when influencing and connecting with others.
Able to read situations and modify behavior to build quality relationships.
Uphold the firm's code of ethics and business conduct.
Job Requirements and Preferences :
Basic Qualifications :
Minimum Degree Required :
Required 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
Additional Educational Requirements :
Other quantitative fields of study may be considered
Minimum Years of Experience :
Preferred Qualifications :
Degree Preferred :
Preferred Knowledge/Skills :
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:
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;
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.