New York, New York; Raleigh, North Carolina; Charlotte, North Carolina; Chicago, Illinois; Cincinnati, Ohio; Cleveland, Ohio; Columbia, South Carolina; Columbus, Ohio; Dallas, Texas; Rochester, New York; Rosemont, Illinois; Boston, Massachusetts; Sacramento, California; St Louis, Missouri; Salt Lake City, Utah; San Antonio, Texas; San Diego, California; San Francisco, California; Silicon Valley, California; Seattle, Washington; Spartanburg, South Carolina; Albany, New York; Stamford, Connecticut; Tampa, Florida; Toledo, Ohio; Atlanta, Georgia; Tulsa, Oklahoma; Austin, Texas; Washington D.C., District of Columbia; Denver, Colorado; Des Moines, Iowa; Boca Raton, Florida; Detroit, Michigan; Buffalo, New York; Florham Park, New Jersey; Fort Worth, Texas; Greensboro, North Carolina; Hartford, Connecticut; Houston, Texas; Indianapolis, Indiana; Grand Rapids, Michigan; Irvine, California; Kansas City, Missouri; Las Vegas, Nevada; Little Rock, Arkansas; Los Angeles, California; Louisville, Kentucky; Birmingham, Alabama; Fayetteville, Arkansas; Melville, New York; Miami, Florida; Milwaukee, Wisconsin; Minneapolis, Minnesota; Montpelier, Vermont; Nashville, Tennessee; New Orleans, Louisiana; Oklahoma City, Oklahoma; Philadelphia, Pennsylvania; Phoenix, Arizona; Pittsburgh, Pennsylvania; Portland, Oregon

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Job ID: 739388WD
Category: Data and Analytics Engineering
Time Type: Full time
Specialty/Competency: IFS - Information Technology (IT)
Level: Associate
Travel Requirements: Up to 20%
Locations: New York, Raleigh, Charlotte, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Rochester, Rosemont, Boston, Sacramento, St Louis, Salt Lake City, San Antonio, San Diego, San Francisco, Silicon Valley, Seattle, Spartanburg, Albany, Stamford, Tampa, Toledo, Atlanta, Tulsa, Austin, Washington D.C., Denver, Des Moines, Boca Raton, Detroit, Buffalo, Florham Park, Fort Worth, Greensboro, Hartford, Houston, Indianapolis, Grand Rapids, Irvine, Kansas City, Las Vegas, Little Rock, Los Angeles, Louisville, Birmingham, Fayetteville, Melville, Miami, Milwaukee, Minneapolis, Montpelier, Nashville, New Orleans, Oklahoma City, Philadelphia, Phoenix, Pittsburgh, Portland

The Opportunity

As a CTIO - AI Engineer - Experienced Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, driving data-driven decision-making and business growth. Within our Internal Firm Services practice, you will focus on learning and contributing to client engagements and projects, developing your skills and knowledge to deliver quality work. You will be exposed to clients, learning how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.

In this role at PwC, you will engage in exploratory and descriptive analysis, statistical modeling, and creating data visualizations to solve complex business problems and inform strategic decisions. You are expected to adapt to working with a variety of clients and team members, each presenting unique challenges and scope. Every experience is an opportunity to learn and grow, taking ownership and consistently delivering work that drives value for our clients and success as a team. As you navigate through the firm, you build a brand for yourself, opening doors to more opportunities.

Responsibilities

- Leveraging advanced analytics and statistical techniques to extract insights from large datasets
- Designing and developing robust data solutions to transform raw data into actionable insights
- Applying data science algorithms and machine learning techniques to solve complex business problems
- Building data pipelines and confirming data quality for informed decision-making
- Conducting exploratory and descriptive analysis to inform strategic decisions
- Developing predictive models using programming languages such as R and MATLAB
- Utilizing TensorFlow and Scikit-Learn for deep learning and natural language processing tasks
- Collaborating with team members to adapt to varying client challenges and scopes
- Taking ownership of projects and consistently delivering quality work that drives client value
- Engaging in active listening and communication to appreciate diverse perspectives and needs
- Upholding professional and technical standards while adhering to the Firm's code of conduct

What You Must Have

- At least a Bachelor's degree
- At least 1 years of experience

What Sets You Apart

- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance
- Demonstrating proficiency in data science algorithms and workflows
- Utilizing machine learning and deep learning techniques effectively
- Excelling in complex data analysis and predictive modeling
- Applying programming skills in MATLAB and R for data solutions
- Engaging in data-driven decision making and statistical analysis
- Leveraging experience with TensorFlow and Scikit-Learn libraries

The salary range for this position is: $50,500 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 

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.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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CTIO - AI Engineer - Experienced Associate

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