Skip to content
mimi

Senior Associate, AI & Generative AI Data Scientist. Job in Spartanburg Move Collective Jobs

Pwc

Spartanburg · On-site Full-time Senior $77k – $202k/yr 1w ago

About the role

Specialty/Competency

Data, Analytics & AI

Industry/Sector

Not Applicable

Time Type

Full time

Travel Requirements

Up to 80%

About PwC

At PwC, we value data and analytics in guiding critical business decisions. Our team leverages advanced analytical techniques to help clients enhance operations and achieve strategic objectives.

Role Overview

As a Data Scientist at PwC, you'll utilize modern analytical methods to extract insights from extensive datasets, enabling informed decision-making. Your expertise in data manipulation, visualization, and statistical modeling will support clients as they navigate complex business challenges.

In this role, you will prioritize building strong client relationships and aspire to manage and inspire teams effectively. You will develop your personal brand, refine your technical skills, and recognize your strengths. A key aspect of your work involves anticipating the needs of clients and teams while delivering high-quality results. In the face of ambiguity, you will embrace challenges as opportunities for growth, asking insightful questions along the way.

Key Skills & Competencies

  • Engage effectively with a diverse range of perspectives, needs, and emotions.
  • Employ a variety of tools and methodologies to inspire creative solutions.
  • Utilize critical thinking to simplify complex concepts.
  • Understand the broader objectives of your role and how your work aligns with overall strategy.
  • Deepen your understanding of the evolving business context.
  • Reflect on your experiences to enhance self-awareness and address development areas.
  • Interpret data to generate actionable insights and recommendations.
  • Uphold professional and technical standards while adhering to the Firm's code of conduct.

Minimum Qualifications

Minimum Degree Required: Bachelor's Degree
Minimum Year(s) of Experience: 4 year(s)

Responsibilities

You will showcase your experience in:

  • Creating AI and Generative AI solutions, including analytical model development, prompt engineering, and programming (e.g., Python).
  • Documenting and analyzing business processes to identify AI opportunities, including gathering requirements and forming initial hypotheses.
  • Collaborating with client teams to understand business challenges and select suitable analytical models for AI use cases.
  • Designing AI/GenAI architectures tailored for client needs, including plugin-based and custom application builds.
  • Processing both unstructured and structured data for use in large language models, including SQL query development and database integration.
  • Managing daily operations of global data and analytics teams during client engagements and providing feedback on developed models.
  • Guiding data engineers and scientists to deliver effective solutions that meet client needs.
  • Leading the development of proofs of concept and production use cases within cross-functional teams.
  • Structuring and delivering client presentations.
  • Mentoring associates through coaching and performance feedback.

Additional Experience

You should also have experience in:

  • Managing AI application development teams with a focus on both front-end and back-end integrations.
  • Utilizing Python libraries (e.g., Pandas, NLTK, Scikit-learn, Keras), LLM development frameworks, and database systems (SQL and NoSQL).
  • Familiarity with analytical techniques including Machine Learning, Deep Learning, and Optimization.
  • Experience with vectorization and embedding, prompt engineering, and developing retrieval-augmented generation workflows.
  • Proficiency with cloud platforms like Azure, AWS, or Google Cloud.
  • Understanding of version control systems, testing methodologies, and CI/CD practices.

Compensation & Benefits

The salary for this position ranges from $77,000 to $202,000, depending on your skills, experience, qualifications, and location. Eligible employees can receive an annual discretionary bonus. PwC offers comprehensive benefits including medical, dental, vision, 401k, vacation, and more.

Equal Opportunity Statement

PwC is an equal opportunity employer, and all qualified applicants will receive consideration for employment without discrimination. We invite applicants from diverse backgrounds, including those protected by law.

Application Details

Applications will be accepted until the position is filled or removed, as noted on our application deadline page.

Requirements

  • Creating AI and Generative AI solutions, including analytical model development, prompt engineering, and programming (e.g., Python).
  • Documenting and analyzing business processes to identify AI opportunities, including gathering requirements and forming initial hypotheses.
  • Collaborating with client teams to understand business challenges and select suitable analytical models for AI use cases.
  • Designing AI/GenAI architectures tailored for client needs, including plugin-based and custom application builds.
  • Processing both unstructured and structured data for use in large language models, including SQL query development and database integration.
  • Managing daily operations of global data and analytics teams during client engagements and providing feedback on developed models.
  • Guiding data engineers and scientists to deliver effective solutions that meet client needs.
  • Leading the development of proofs of concept and production use cases within cross-functional teams.
  • Structuring and delivering client presentations.
  • Mentoring associates through coaching and performance feedback.
  • Managing AI application development teams with a focus on both front-end and back-end integrations.
  • Utilizing Python libraries (e.g., Pandas, NLTK, Scikit-learn, Keras), LLM development frameworks, and database systems (SQL and NoSQL).
  • Familiarity with analytical techniques including Machine Learning, Deep Learning, and Optimization.
  • Experience with vectorization and embedding, prompt engineering, and developing retrieval-augmented generation workflows.
  • Proficiency with cloud platforms like Azure, AWS, or Google Cloud.
  • Understanding of version control systems, testing methodologies, and CI/CD practices.

Responsibilities

  • Utilize modern analytical methods to extract insights from extensive datasets, enabling informed decision-making.
  • Support clients as they navigate complex business challenges.
  • Prioritize building strong client relationships and aspire to manage and inspire teams effectively.
  • Develop your personal brand, refine your technical skills, and recognize your strengths.
  • Anticipate the needs of clients and teams while delivering high-quality results.
  • Embrace challenges as opportunities for growth, asking insightful questions along the way.
  • Interpret data to generate actionable insights and recommendations.
  • Uphold professional and technical standards while adhering to the Firm's code of conduct.

Benefits

medicaldentalvision401kvacation

Skills

AWSAzureCI/CDDockerGenerative AIGoogle CloudKerasLLMMachine LearningNLTKNoSQLOptimizationPandasPythonSQLScikit-learnVectorization

Don't send a generic resume

Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.

Get started free