P
Full-time
Remote friendly

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As an Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

  • Invite and give in the moment feedback in a constructive manner.
  • Share and collaborate effectively with others.
  • Identify and make suggestions for improvements when problems and/or opportunities arise.
  • Handle, manipulate and analyse data and information responsibly.
  • Follow risk management and compliance procedures.
  • Keep up-to-date with developments in area of specialism.
  • Communicate confidently in a clear, concise and articulate manner - verbally and in the materials I produce.
  • Build and maintain an internal and external network.
  • Seek opportunities to learn about how PwC works as a global network of firms.
  • Uphold the firm's code of ethics and business conduct.

Job Description: GenAI Data Scientist - Associate

PwC US - Acceleration Center is seeking an emerging GenAI Data Scientist to join our team at the Associate level. This role provides an exciting opportunity to contribute to developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have foundational knowledge in data science, with an interest in GenAI technologies, and possess an understanding of statistical analysis, machine learning, data visualization, and basic application programming.

Responsibilities:

  • Assist cross-functional teams in gathering business requirements and identifying opportunities for applying GenAI technologies.

  • Support the development and implementation of machine learning models and algorithms under the guidance of senior data scientists.

  • Participate in data cleaning, preprocessing, and feature engineering to prepare data for analysis.

  • Work closely with data engineers to facilitate efficient data processing and integration into machine learning pipelines.

  • Help validate and evaluate model performance using standard metrics and techniques.

  • Contribute to the development and deployment of machine learning applications and solutions.

  • Utilize basic object-oriented programming skills to assist in building software components.

  • Gain experience with Kubernetes for container orchestration and deployment.

  • Assist in designing and building chatbots using GenAI technologies.

  • Help communicate findings and insights to stakeholders through basic data visualizations and reports.

  • Keep abreast of the latest advancements in GenAI technologies and contribute to discussions on innovative solutions to enhance data science processes.

Requirements:

  • Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.

  • 1-3 years of relevant experience, ideally with exposure to GenAI projects.

  • Proficient programming skills in Python, R, or Scala.

  • Familiarity with machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.

  • Basic experience with data preprocessing, feature engineering, and data wrangling techniques.

  • Understanding of statistical analysis and experimental design.

  • Awareness of cloud computing platforms such as AWS, Azure, or Google Cloud.

  • Some knowledge of data visualization tools and techniques.

  • Strong problem-solving and analytical skills.

  • Good communication and teamwork abilities.

  • Ability to thrive in a fast-paced and dynamic environment.

Preferred Qualifications:

  • Some experience with object-oriented programming languages such as Java, C++, or C#.

  • Exposure to developing or assisting in the deployment of machine learning applications.

  • Basic understanding of data privacy and compliance issues.

Nice to Have Skills:

  • Exposure to Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock.

  • Familiarity with LLM backed agent frameworks like Autogen, Langchain, Semantic Kernel.

  • Interest in chatbot design and development.

Join PwC US - Acceleration Center as an Associate GenAI Data Scientist and start your career in a role that offers significant opportunities for growth and development in the field of GenAI. We provide a collaborative and innovative work environment where you can learn from industry experts and make a meaningful impact.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

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