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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 6d 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 Engineer ETL Google Cloud Snowflake
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Job Description

PwC seeks an AI Engineer / Data Scientist, AI Experienced Associate to design and deploy AI and machine learning solutions at scale. In this role, you will collaborate with data scientists, ML engineers, backend and frontend developers, and product teams to test and deliver AI products. The position is onsite in Philadelphia, focusing on transforming data into actionable insights for client engagements.

Responsibilities

  • Design and build AI systems that transform 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 improve 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 strategies
  • Support client engagements by delivering high-quality work and adapting to diverse project requirements
  • Pursue continuous learning to deepen technical skills and knowledge in AI engineering
  • Maintain professional and technical standards while contributing to team success

Requirements

  • Bachelor's degree required
  • At least 1 year of 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 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
  • Demonstrating proficiency in AI implementation and machine learning techniques
  • Excelling in client support within fast-paced environments
  • Adapting quickly to diverse client needs and project scopes
  • Building a personal brand through consistent quality work
  • Utilizing analytical skills to discern patterns and insights

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