Senior AI Engineer & Data Scientist: Driving Insight

PwC

Dallas (TX)

On-site

USD 72,000 - 184,000

Full time

19 hours ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401k
Holiday pay
Vacation
Personal and family sick leave

Job summary

PwC is seeking a Senior Associate to join the AI Engineering team within Digital Assurance & Technology. You will transform raw data into actionable insights and develop and deploy AI solutions to drive innovation, with ownership of lead testing and evaluation of AI-enabled systems.

Expect complex problem solving, client interaction, and mentoring of junior staff. You will contribute to architecture decisions, ensure responsible AI deployment, and document evidence and recommendations while

Qualifications

  • Bachelor's degree required.
  • Minimum 2 years of experience.

Responsibilities

  • Design and optimize AI/ML algorithms to enhance business processes.
  • Transform raw data into actionable insights for decision-making.
  • Develop and implement AI solutions using Python.
  • Build and maintain data infrastructure for complex data analysis.
  • Collaborate to deploy speech recognition and NLP tools.
  • Independently design and execute tests for AI system behavior and robustness.
  • Evaluate controls, document findings, limitations, and recommendations.

Skills

AI implementation
Python programming
Data analysis
Machine learning
Deep learning
Data infrastructure
Monitor and incident response
Explainability and bias
Client mentoring

Education

Bachelor's degree

Job description

PwC is seeking a Senior Associate to join the AI Engineering team within Digital Assurance & Technology. You will transform raw data into actionable insights and develop and deploy AI solutions to drive innovation, with ownership of lead testing and evaluation of AI-enabled systems.

Expect complex problem solving, client interaction, and mentoring of junior staff. You will contribute to architecture decisions, ensure responsible AI deployment, and document evidence and recommendations while

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