Gen AI Data Scientist - Senior Associate

Overview

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

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.

Years of Experience: Candidates with 4+ years of hands on experience

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.
  
  

• 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.
  
  

• 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.
  
  

• 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.
  
  

• Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA
  
  

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Data and Analytics team you will develop and implement innovative machine learning models for GenAI projects. As a Senior Associate, you will analyze complex problems, mentor junior team members, and build meaningful client relationships while navigating the evolving landscape of data science. Join us to leverage your technical knowledge and contribute to groundbreaking solutions that shape the future of AI.

Responsibilities

• Develop and implement innovative machine learning models for GenAI projects
• Analyze intricate problems and provide solutions
• Mentor junior team members to enhance their skills
• Build and maintain substantial relationships with clients
• Navigate the evolving landscape of data science
• Contribute to groundbreaking solutions in AI
• Utilize technical knowledge to drive project success
• Collaborate effectively within the Data and Analytics team
  
  

What You Must Have

• Bachelor's Degree
• 4 years of experience
• Oral and written proficiency in English required
  
  

What Sets You Apart

• Master's Degree in Data Science, Computer Science, Statistics
• Relevant certifications in data science or GenAI technologies
• Excelling in programming languages such as Python, R, or Scala
• Proficiency in machine learning libraries like TensorFlow and PyTorch
• Familiarity with cloud computing platforms like AWS or Azure
• Understanding of data privacy and compliance regulations
• Experience in developing and deploying machine learning applications
• Knowledge of data visualization tools and techniques
• Experience with chatbot design and development