AI Data Scientist / Data Engineer - Experienced Associate - PwC (Freeport)
: $115,435.00 - $200,310.00 /year *
: Information Technology
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PwC Labs is focused on standardizing, automating, delivering tools and processes and exploring emerging technologies that drive efficiency and enable our people to reimagine the possible. Process improvement, transformation, effective use of innovative technology and data & analytics, and leveraging alternative delivery solutions are key areas of focus to drive additional value for our firm.
The AI Lab focuses on implementing solutions that impact efficiency and effectiveness of our technology 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 Lab is focused on identifying and prioritizing emerging technologies to get the most out of our investments.
To really stand out and make us ?t for the future in a constantly changing world, each and every one of us at PwC needs to be an authentic and inclusive leader, at all grades/levels and in all lines of service. 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 provide evidence-based feedback in a timely and constructive manner.
- Share and collaborate effectively with others.
- Work with existing processes/systems whilst making constructive suggestions for improvements.
- Validate data and analysis for accuracy and relevance.
- Follow risk management and compliance procedures.
- Keep up-to-date with technical developments for business area.
- Communicate confidently in a clear, concise and articulate manner - verbally and in written form.
- Seek opportunities to learn about other cultures and other parts of the business across the Network of PwC firms.
- Uphold the firm-s code of ethics and business conduct.
Our team is capability centric, focusing on AI and machine learning techniques that are broadly applicable across all industries. We work with a variety of data mediums including text, audio, imagery, sensory, and structured data. Our work involves the use of supervised/unsupervised machine learning algorithms, traditional statistical models, deep neural networks, terabyte scale data, and simulation modelling. Our work is having a tremendous impact on how PwC & our clients do business.
Job Requirements and Preferences :
Basic Qualifications :
Minimum Degree Required : Bachelor Degree
Minimum Years of Experience : 1 year(s)
Preferred Qualifications :
Preferred Fields of Study : Computer and Information Science, Computer Engineering, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Mathematics, Mathematical Statistics, Statistics
Preferred Knowledge/Skills :
Demonstrates some knowledge and/or a proven record of success in the following areas:
Exploring new analytical technologies and evaluating their technical and commercial viability quickly;
Working in 4-week sprint cycles to develop proof-of-concepts and prototype models that can be demoed and explained to data scientists, internal stakeholders, and clients;
Testing and rejecting hypotheses around data processing and machine learning model building;
Demonstrating ability to experiment, fail quickly, and recognize when you need assistance vs. when you conclude that a technology is not suitable for the task;
Building machine learning pipelines that ingest, clean data, and make predictions;
Staying abreast of new AI research from leading labs by reading papers and experimenting with code;
Developing innovative solutions and perspectives on AI that can be published in academic journals/arXiv and shared with clients;
Demonstrating ability to continuously learn new technologies and quickly evaluate their technical and commercial viability;
Applying machine learning techniques for addressing a variety of problems (e.g. consumer segmentation, revenue forecasting, image classification, etc.);
Understanding of 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;
Building machine learning models and systems, interpreting their output, and communicating the results;
Moving models from development to production is a plus; and,
Conducting research in a lab and publishing work is a plus.
Demonstrates some abilities and/or a proven record of success learning and applying new skills quickly, including the following areas and technologies:
Productionization and containerization technologies: GitHub, Flask, Docker, 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. - provided by Dice Associated topics: data analyst, data engineer, data management, data warehouse, data warehousing, database, database administrator, erp, mongo database administrator, sql
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.