Data Science – Gen AI – Senior Manager

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

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 Senior 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:

• Encourage everyone to have a voice and invite opinion from all, including quieter members of the team.
• Deal effectively with ambiguous and unstructured problems and situations.
• Initiate open and candid coaching conversations at all levels.
• Move easily between big picture thinking and managing relevant detail.
• Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.
• Contribute technical knowledge in area of specialism.
• Contribute to an environment where people and technology thrive together to accomplish more than they could apart.
• Navigate the complexities of cross-border and/or diverse teams and engagements.
• Initiate and lead open conversations with teams, clients and stakeholders to build trust.
• Uphold the firm’s code of ethics and business conduct.

Job Description: GenAI Data Scientist – Senior Manager (PwC US AC)

PwC US – Acceleration Center is seeking a highly accomplished GenAI Data Scientist to join our team as a Senior Manager. This leadership role involves overseeing the strategic development and execution of machine learning models and algorithms for our advanced GenAI projects. The ideal candidate will have an extensive background in data science, deep expertise in GenAI technologies, and a proven track record of leading large-scale data-driven projects with significant impacts.

Responsibilities:

• Direct and expand a large team of data scientists and analysts in crafting and implementing sophisticated GenAI solutions tailored to complex business problems.

• Strategically guide the development, validation, and scaling of innovative machine learning models and algorithms across multiple GenAI projects.

• Champion the full data processing lifecycle, including advanced data cleaning, preprocessing, and feature engineering techniques to optimize data quality and analytics readiness.

• Facilitate robust collaborations with data engineers, software developers, and project managers to ensure seamless data integrations and alignments with business objectives.

• Lead the rigorous evaluation of model effectiveness using advanced metrics and adapt strategies to enhance performance and scalability.

• Oversee the deployment of production-grade machine learning solutions, ensuring they meet high standards for reliability and scalability.

• Promote the use of top-tier programming skills in Python, R, or Scala to develop and maintain high-quality software components for data analysis.

• Drive the adoption and management of Kubernetes for streamlined container orchestration and efficient deployment of applications.

• Innovate and implement cutting-edge data-driven products such as chatbots and other AI-powered tools using the latest in GenAI technologies.

• Present complex data insights and strategic recommendations to executive stakeholders through detailed reports, visualizations, and strategic presentations.

• Advocate for the forefront of GenAI technology adoption, enhancing data science practices and leading sector innovation.

• Cultivate a culture of excellence and continuous improvement by mentoring team members and fostering a learning environment.

Requirements:

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

• 13+ years of significant experience in data science, with a specialized focus on GenAI projects.

• Exceptional skills in programming with Python, R, or Scala, and deep knowledge of machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.

• Comprehensive experience in managing large datasets, performing complex data preprocessing, and applying feature engineering.

• Expertise in cloud computing platforms such as AWS, Azure, or Google Cloud, and sophisticated data visualization tools.

• Demonstrated leadership experience with the ability to manage, inspire, and develop large data science teams.

• Outstanding strategic, analytical, and project management skills.

• Excellent communication and interpersonal abilities, capable of engaging effectively with senior management and cross-functional teams.

Preferred Qualifications:

• Proficiency in object-oriented programming languages such as Java, C++, or C#.

• Documented success in deploying machine learning applications in a production environment.

• Familiarity with data privacy and regulatory compliance within a corporate context.

• Advanced certifications in data science or GenAI technologies.

Nice to Have Skills:

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

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

Join PwC US – Acceleration Center as a Senior Manager in GenAI Data Science to lead groundbreaking projects and shape the future of intelligent solutions. We offer an empowering work environment, competitive compensation, and substantial opportunities for advancement 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?

No

Government Clearance Required?

No

Job Posting End Date