GenAI Python Systems Engineer Associate

PWC

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Chicago, ILRaleigh, NCCharlotte, NCCincinnati, OHCleveland, OH
Salary: $63,000–$140,000 / yr
Posted: 15 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $193k

This role $102k

$42k most similar roles pay here $256k

This role pays less than 98% of similar roles. Most pay $151,000–$235,750 — the shaded band above. At the midpoint, this role pays about $102k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 105 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 103 roles with salary data.

Most-posted roles

View all roles at PWC

At a glance

TL;DR · GenAI Python Systems Engineer Associate

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As a GenAI Python Systems Engineer – Experienced Associate within the Data and Analytics Engineering practice, you will design and develop robust data solutions to transform raw information into actionable insights for clients. Your daily responsibilities include designing AI systems, performing complex data wrangling, and building scalable machine learning models to support automation and cognitive solutions. You will ensure data quality and integrity while collaborating with team members to deliver high-quality work in a fast-paced environment. The role requires proficiency in Python and Scikit-Learn libraries for machine learning applications. Candidates should possess skills in data modeling and analysis, potentially supported by certifications in cloud platforms like AWS, Google Cloud, Microsoft Azure, Databricks, or Snowflake. You will solve technical challenges related to deploying scalable AI models and implementing software solutions that drive business growth through advanced analytics.

Skills

Python Scikit-Learn Machine Learning Data Engineering AWS Cloud Platform Microsoft Azure Databricks Snowflake Data Pipelines Data Modeling GenAI Data Analysis

What you'll do

Design and implement AI systems using Python and machine learning libraries like Scikit-Learn.
Develop data pipelines to transform raw data into actionable insights for clients.
Build scalable AI and machine learning solutions using various programming languages.
Conduct complex data analysis to identify patterns and inform business decision-making.
Ensure data quality and integrity throughout the entire development process.
Implement AI-driven automation and cognitive solutions for client projects.
Perform data modeling to enhance and support data-driven solutions.

What we're looking for

At least a Bachelor's degree.
At least 1 year of experience.
Degree in Analytics/Data Science, AI/Robotics, Computer Science/Information Systems, or Engineering (preferred).
Certifications in data engineering, machine learning, and cloud platforms like AWS, Google Cloud, Azure, Databricks, or Snowflake (preferred).
Proficiency in Python and Scikit-Learn for machine learning.
Experience with AI implementation in client-facing projects (preferred).
Ability to perform complex data analysis and modeling.
Ability to apply machine learning libraries to enhance data-driven solutions (preferred).

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