GenAI Python Systems Engineer – Senior Associate

PwC•Tampa, FL

3d•$77,000 - $202,000•Remote

About The Position

As a GenAI Python Systems Engineer – Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow. In this role, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems, interpreting data to inform insights and recommendations.

Requirements

At least a Bachelor's degree
At least 3 years of experience

Nice To Haves

Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
Utilizing Python programming for AI-driven automation solutions
Implementing machine learning libraries and NLP techniques
Analyzing complex data to generate actionable insights
Navigating ambiguity while maintaining client-focused solutions
Developing meaningful client relationships through effective communication

Responsibilities

Designing and optimizing algorithms and models to enhance intelligent decision-making and automation
Developing and implementing advanced AI and machine learning solutions to drive innovation in business processes
Transforming raw data into actionable insights to support informed decision-making and business growth
Leveraging advanced technologies and techniques to design robust data solutions for clients
Utilizing Python and machine learning libraries to build scalable AI systems
Conducting complex data analysis to identify trends and inform strategic recommendations
Collaborating with cross-functional teams to address data challenges and improve data quality
Building meaningful client connections and managing stakeholder expectations effectively
Navigating complex situations to deliver quality solutions and grow personal skills
Upholding professional and technical standards in alignment with firm guidelines and independence requirements