ERCS Data & Tech - Risk & Compliance AI Engineer - Experienced Associate

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.

Job Description Generator Output
The Opportunity
As part of the Data and Analytics Engineering team you will contribute to innovative projects in machine learning and generative AI development. As an Associate you will focus on learning and supporting senior staff while building meaningful client connections and enhancing your technical knowledge. This role offers a dynamic environment where you can grow your skills, engage in research, and participate in exciting project tasks that shape the future of technology.
Responsibilities
- Build and maintain productive relationships with clients
- Enhance technical skills through active participation in research
- Engage in project activities that influence technology advancements
- Work with team members to solve intricate challenges
- Utilize analytical tools to interpret data and derive insights
- Adapt to a dynamic work environment while delivering quality results
What You Must Have
- Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, Statistics
- 2 years of experience
- At least 1 year of experience in machine learning and generative AI development
What Sets You Apart
- Master's Degree preferred
- Possessing a foundation in AI and agentic frameworks
- Demonstrating hands-on experience with OpenAI, CoPilot Studio, Azure AI, Gemini, Agentspace, Claude, and other GenAI platforms
- Developing skills in data structures and algorithms, and statistical methods
- Utilizing data processing and analysis tools
- Excelling in problem-solving and attention to precision
- Working effectively with team members
- Managing multiple projects independently
- Connecting to APIs and systems
- Proficiency in Python and ML libraries
- Having hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
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: $63,000 - $140,000, 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
#LI-Hybrid