7 days ago
Base Salary
$63k - $140k/yr
Responsibilities
- Design and implement AI systems using Python and Scikit-Learn.
- Develop data pipelines and machine learning models that transform raw data into actionable insights.
- Support AI-driven automation and cognitive solutions in collaboration with team members.
- Conduct complex data analysis and modeling to identify patterns and inform decisions.
- Build scalable AI and machine learning solutions using programming languages and applicable libraries.
- Validate data quality and integrity throughout development.
- Apply AI implementation skills in client-facing projects.
- Maintain professional and technical standards, including the Firm’s code of conduct and independence requirements.
Requirements
- Bachelor’s degree required.
- At least 1 year of experience required.
- Preferred fields of study include analytics or data science, artificial intelligence or robotics, computer science or information systems, and engineering.
- Proficiency in Python and Scikit-Learn for machine learning.
- Experience or capability in AI implementation, complex data analysis, and data modeling.
- Certifications related to data engineering, machine learning, cloud platforms, AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials are preferred.
- Ability to adapt to fast-paced environments and diverse client needs.
Benefits
- Eligible for an annual discretionary bonus.
- Benefits include medical, dental, vision, 401(k), holiday pay, vacation, and personal and family sick leave.
- Travel requirements may be up to 80%.
Categories
Data EngineeringML Engineering
About PwC
At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com. PwC: Audit and assurance, consulting and tax services PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.