At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality 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.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

The Opportunity

As an Advisory National - AI Engineering Associate, you will engage in a dynamic environment where you will apply your skills in data modeling, machine learning, and complex data analysis to drive impactful solutions for our clients. Your role will involve designing and implementing innovative data-driven strategies that address real-world challenges, particularly within the advisory sector. You will have the chance to work with a diverse range of industries, leveraging your knowledge to deliver meaningful insights and solutions.

As an Associate, you will focus on learning and contributing to client engagements and projects while developing your skills and knowledge. You will be expected to be adaptable and reliable, supporting senior staff and building your professional brand. You will have the opportunity to deepen your technical knowledge of firm services and technology resources, while also enhancing your strengths and addressing development areas. You will be encouraged to use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems.

In this role at PwC, you will be part of a collaborative team that values curiosity, adaptability, and personal growth. You will have the opportunity to work in a fast-paced environment, where you will be driven by curiosity and take ownership of delivering quality work.

Responsibilities

- Developing and implementing machine learning models to enhance data-driven decision-making processes
- Conducting complex data analysis to extract meaningful insights and support predictive modeling efforts
- Utilizing programming languages such as C++, R, and MATLAB to build and refine data science algorithms
- Engaging in data engineering tasks to design and maintain efficient data pipelines and data lakes
- Applying natural language processing techniques to process and analyze large text corpora
- Collaborating with cross-functional teams to integrate artificial intelligence solutions into client projects
- Managing project timelines and deliverables to ensure successful completion of data science initiatives
- Leveraging big data technologies to handle and analyze large datasets for improved business outcomes
- Performing statistical analysis to validate data quality and support data mining activities
- Utilizing Scikit-Learn and other machine learning libraries to develop and test innovative solutions

What You Must Have

- Currently pursuing or have completed a Bachelor's degree
- Client service associate positions are entry-level roles intended for job seekers who are completing or have recently completed their final academic year of educational requirements

What Sets You Apart

- Preference for one of the following field(s) of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Mathematics, Statistics, Systems Engineering
- Preference for a 3.3 overall GPA
- Demonstrating proficiency in C++ and R programming languages
- Excelling in complex data analysis and predictive modeling
- Utilizing machine learning techniques for data-driven decision making
- Engaging in artificial intelligence and natural language processing projects
- Contributing to data engineering and data mining initiatives
- Participating in project management tasks within data science environments
-Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
Learn more about how we work: https://pwc.to/how-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.

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. 

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.



The salary range for this position is: $61,000 - $100,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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