Job Title: Customer Data Engineer, Experienced Associate
PRICE WATERHOUSE COOPERS
Accounting/Auditing, Agriculture, Forestry, & Fishing, Computers, Software, Engineering, Finance/Economics, Information Technology, Internet/E-Commerce, Publishing, Research & Development, Web Technology
Customer Data Engineer, Experienced Associate Specialty/Competency: Data, Analytics & AI Industry/Sector: Not Applicable Time Type: Full time Travel Requirements: Up to 60%
A career within Data and Analytics 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. We 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 an 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:
Invite and give in the moment feedback in a constructive manner.
Share and collaborate effectively with others.
Identify and make suggestions for improvements when problems and/or opportunities arise.
Handle, manipulate and analyse data and information responsibly.
Follow risk management and compliance procedures.
Keep up-to-date with developments in area of specialism.
Communicate confidently in a clear, concise and articulate manner - verbally and in the materials I produce.
Build and maintain an internal and external network.
Seek opportunities to learn about how PwC works as a global network of firms.
Uphold the firm's code of ethics and business conduct.
The AI Lab focuses on implementing solutions that impact efficiency and effectiveness of our clients' functions. Process improvement, transformation, effective use of technology and data & analytics, and leveraging alternative delivery are key areas to drive value and continue to be recognized as the leading professional services firm. AI Labs is focused on identifying and prioritizing emerging technologies and preparing clients to get the most out of their emerging technology investments.
Job Requirements and Preferences:
Minimum Degree Required: Bachelor Degree
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: 1 year(s)
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.
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.
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.
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.
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.
For positions in Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: https://pwc.to/coloradoadvisoryassociate2.
For positions in New York City, visit the following link for pay range information: https://pwc.to/payrange-a-advisoryassociate2