Oracle AI Data & Analytics - Senior Associate

Specialty/Competency: Oracle
Industry/Sector: Not Applicable
Time Type: Full time
Travel Requirements: Up to 60%

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to work with data and derive insights from it. You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

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

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity

As part of the DCM AI Labs team, you will develop innovative AI and machine learning systems that drive impactful solutions. As a Senior Associate, you will analyze complex problems, mentor junior team members, and build meaningful client relationships while navigating the evolving landscape of technology. This role offers the chance to deepen your technical knowledge and grow your personal brand in a dynamic environment.

Responsibilities

- Design and implement advanced AI and machine learning solutions

- Analyze intricate challenges and provide actionable insights

- Mentor and guide junior team members in their professional development

- Cultivate meaningful relationships with clients to understand their needs

- Navigate the rapidly changing technology landscape effectively

- Enhance personal knowledge and contribute to team insights

- Collaborate with cross-functional teams to deliver exceptional outcomes

- Uphold professional standards and ethical practices in every engagement

What You Must Have

- Bachelor's Degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related quantitative field

- At least 3 years of professional experience developing AI/ML systems, building full-stack applications, or integrating AI into software products

What Sets You Apart

- Master's Degree in Computer Engineering, Computer Science, Artificial Intelligence and Robotics, Data Processing/Analytics/Science, Software Engineering preferred

- Experience with LLMs, prompt engineering, and orchestration tools

- Experience with multi-agent frameworks and agentic AI patterns

- Proficiency with Docker, Kubernetes, and cloud-native architectures

- Experience with CI/CD for ML systems and model monitoring

- Experience with vector databases and embedding models

- Track record of fine-tuning models on domain-specific data

- Experience processing and managing data pipelines

- Contributions to open-source AI/ML projects or hackathons

The salary range for this position is: $77,000 - $202,000. 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:

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:

Learn more about 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:

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