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 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.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. 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.
Responsibilities
Mentor junior team members to enhance their skills and knowledge
Build and maintain productive relationships with clients
Navigate intricate situations to deliver quality results
Uphold professional standards and maintain quality in deliverables
Continuously enhance technical knowledge and personal brand
What You Must Have
Bachelor's Degree
3 years of machine learning and generative AI development experience
What Sets You Apart
PhD preferred in Computer Science, Data Processing/Analytics/Science, Business Administration/Management, Risk Management, Statistics, or Mathematical Statistics
Developing and optimizing machine learning models and algorithms
Designing and building generative AI models for innovative solutions
Working with stakeholders to translate business requirements
Processing, cleaning, and verifying data integrity
Conducting testing and validation of models for accuracy
Staying current with advancements in machine learning and AI
Mentoring junior team members in data science practices
Experience connecting to APIs and systems
Hands-on experience with OpenAI, CoPilot Studio, Azure AI, Gemini, AgentSpace, Claude, and other GenAI platforms
Hands-on experience with LangChain, LangFlow, Agent SDK, AgentForce, AgentSpace, Copilot Studio, LlamaIndex, Autogen, Palantir Foundry, ReAct, etc.
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 sponsorship through the H-1B lottery, except as set forth within 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; veteran, marital, or citizenship status; or, any other status protected by law.
The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. Actual compensation within the range will depend on skills, experience, qualifications and location. PwC offers a wide range of benefits; to view our benefits at a glance, visit: https://pwc.to/benefits-at-a-glance
Seniority level
Associate
Employment type
Full-time
Job function
Information Technology
Industries: Accounting, Financial Services, and Business Consulting and Services
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