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PRICE WATERHOUSE COOPERS

AI Engineer / Data Scientist, AI Experienced Associate

PRICE WATERHOUSE COOPERS
Philadelphia, PA $63k - $142k/yr Full time Posted 5d ago
Analytics Artificial Intelligence Cloud Cloud Platform Cloud Platforms Data Analysis Data Analytics Data Integration Data Pipeline Data Platform Data Processing Data Science Data Warehouse Data Warehousing Databricks ETL Google Cloud Snowflake
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Job Description

PwC is seeking an AI Engineer / Data Scientist, AI Experienced Associate to design and deploy scalable AI and ML solutions for clients. Based on site in Philadelphia, you will work alongside data scientists, ML engineers, backend and frontend developers, and product teams to test and deliver AI-driven products across diverse engagements.

Location: Philadelphia, PA (onsite). Salary: USD 63,000 - 141,500 per yearly. Education: Bachelor's degree. Minimum experience: 1 year.

Responsibilities

  • Design and implement AI systems that turn raw data into actionable insights.
  • Develop scalable machine learning models to support client decision making.
  • Collaborate with cross-functional teams to integrate AI solutions into existing platforms.
  • Perform data wrangling and preprocessing to prepare datasets for analysis.
  • Apply advanced algorithms to boost AI model performance.
  • Build and deploy software systems that leverage AI and machine learning technologies.
  • Analyze complex data sets to identify patterns and trends informing business strategy.
  • Support client engagements by delivering high-quality work and adapting to diverse project requirements.
  • Engage in continuous learning to deepen expertise in AI engineering.
  • Uphold professional and technical standards while contributing to team success.

Requirements

  • Bachelor's degree required
  • At least 1 year of relevant experience

Technologies

  • AWS
  • Google Cloud
  • Microsoft Azure
  • Databricks
  • Snowflake

Benefits

  • Annual discretionary bonus
  • Medical
  • Dental
  • Vision
  • 401k
  • Holiday pay
  • Vacation
  • Personal and family sick leave

What Sets You Apart

  • Preference for study areas such as Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, or Engineering
  • Certifications in data engineering, machine learning, and cloud platforms (AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake) or related AI credentials
  • Demonstrated proficiency in AI implementation and machine learning techniques
  • Strong client support experience in fast-paced environments
  • Ability to adapt quickly to diverse client needs and project scopes
  • Consistent delivery of high-quality work to build a personal professional brand
  • Analytical skills to identify patterns and actionable insights from data

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