Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob 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.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 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:
Job Description: GenAI Data Scientist - Senior Associate (PwC US AC)
PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming.
Responsibilities:
- Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies.
- Develop and implement machine learning models and algorithms for GenAI projects.
- Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis.
- Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines.
- Validate and evaluate model performance using appropriate metrics and techniques.
- Develop and deploy production-ready machine learning applications and solutions.
- Utilize object-oriented programming skills to build robust and scalable software components.
- Utilize Kubernetes for container orchestration and deployment.
- Design and build chatbots using GenAI technologies.
- Communicate findings and insights to stakeholders through data visualizations, reports, and presentations.
- Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes.
Requirements:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
- 3-5 years of relevant technical/technology experience, with a focus on GenAI projects.
- Strong programming skills in languages such as Python, R, or Scala.
- Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience with data preprocessing, feature engineering, and data wrangling techniques.
- Solid understanding of statistical analysis, hypothesis testing, and experimental design.
- Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.
- Knowledge of data visualization tools and techniques.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to work in a fast-paced and dynamic environment.
Preferred Qualifications:
- Experience with object-oriented programming languages such as Java, C++, or C#.
- Experience with developing and deploying machine learning applications in production environments.
- Understanding of data privacy and compliance regulations.
- Relevant certifications in data science or GenAI technologies.
Nice to Have Skills:
- Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock.
- Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc.
- Experience in chatbot design and development.
If you are passionate about GenAI technologies and have a proven track record in data science, join PwC US - Acceleration Center and be part of a dynamic team that is shaping the future of GenAI solutions. We offer a collaborative and innovative work environment where you can make a significant impact.
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