Remote friendly

Line of Service



Not Applicable


Data, Analytics & AI

Management Level


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 a Manager, 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:

  • Develop new skills outside of comfort zone.
  • Act to resolve issues which prevent the team working effectively.
  • Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
  • Analyse complex ideas or proposals and build a range of meaningful recommendations.
  • Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
  • Address sub-standard work or work that does not meet firm's/client's expectations.
  • Use data and insights to inform conclusions and support decision-making.
  • Develop a point of view on key global trends, and how they impact clients.
  • Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
  • Simplify complex messages, highlighting and summarising key points.
  • Uphold the firm's code of ethics and business conduct.

Job Description: GenAI Data Scientist - Manager

PwC US - Acceleration Center is actively seeking an experienced GenAI Data Scientist to join our team as a Manager. In this influential role, you will lead the development and implementation of sophisticated machine learning models and algorithms for our GenAI projects. The ideal candidate will have extensive experience in data science, a deep understanding of GenAI technologies, and expertise in statistical analysis, machine learning, data visualization, and application programming.


  • Lead and mentor a team of data scientists in understanding business requirements and applying GenAI technologies to solve complex problems.

  • Oversee the development, implementation, and optimization of machine learning models and algorithms for various GenAI projects.

  • Direct the data preparation process, including data cleaning, preprocessing, and feature engineering, to ensure data quality and readiness for analysis.

  • Collaborate with data engineers and software developers to streamline data processing and integration into machine learning pipelines.

  • Evaluate model performance rigorously using advanced metrics and testing methodologies to ensure robustness and effectiveness.

  • Spearhead the deployment of production-ready machine learning applications, ensuring scalability and reliability.

  • Apply expert programming skills in Python, R, or Scala to develop high-quality software components for data analysis and machine learning.

  • Utilize Kubernetes for efficient container orchestration and deployment of machine learning applications.

  • Design and implement innovative data-driven solutions such as chatbots using the latest GenAI technologies.

  • Communicate complex data insights and recommendations to senior stakeholders through compelling visualizations, reports, and presentations.

  • Lead the adoption of cutting-edge GenAI technologies and methodologies to continuously improve data science practices.

  • Champion knowledge sharing and skill development within the team to foster an environment of continuous learning and innovation.


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

  • 8-10 years of relevant experience in data science, with significant expertise in GenAI projects.

  • Advanced programming skills in Python, R, or Scala, and proficiency in machine learning libraries like TensorFlow, PyTorch, or scikit-learn.

  • Extensive experience in data preprocessing, feature engineering, and statistical analysis.

  • Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud, and data visualization techniques.

  • Demonstrated leadership in managing data science teams and projects.

  • Exceptional problem-solving, analytical, and project management skills.

  • Excellent communication and interpersonal skills, with the ability to lead and collaborate effectively in a dynamic environment.

Preferred Qualifications:

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

  • Proven track record of developing and deploying machine learning applications in production environments.

  • Understanding of data privacy and compliance regulations in a corporate setting.

  • Relevant advanced certifications in data science or GenAI technologies.

Nice to Have Skills:

  • Experience with specific tools such as Azure AI Search, Azure Document Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, and AWS Bedrock.

  • Familiarity with LLM backed agent frameworks like Autogen, Langchain, Semantic Kernel, and experience in chatbot development.

Join PwC US - Acceleration Center as a Manager of GenAI Data Science to lead innovative projects and drive significant advancements in GenAI solutions. We offer a competitive compensation package, a collaborative work environment, and ample opportunities for professional growth and 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?


Government Clearance Required?


Job Posting End Date