LLM - Engineer - Associate

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.

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 machine learning models and algorithms for Generative AI projects. As a Senior Associate you will analyze complex problems, mentor others, and maintain standards while collaborating with cross-functional teams to apply innovative AI solutions to enterprise challenges. This role allows you to stay at the forefront of advancements in GenAI technologies and make a significant impact on the future of AI solutions. Responsibilities
• Develop and implement machine learning models for Generative AI
• Collaborate with cross-functional teams to tackle enterprise challenges
• Analyze complex problems and deliver innovative AI solutions
• Mentor team members and promote their professional growth
• Stay updated on advancements in GenAI technologies
• Maintain rigorous standards of quality and compliance in projects
• Build meaningful relationships with clients and stakeholders
• Navigate complex scenarios to drive impactful results What You Must Have
• Bachelor's Degree
• 3 years of experience in relevant technical/technology experience with a focus on GenAI projects
• Oral and written proficiency in English required What Sets You Apart
• Master's Degree in Data Science, Computer Science, Statistics preferred
• Relevant certifications in data science or GenAI technologies
• Excelling in programming with Python, R, or Scala
• Skilled in machine learning libraries like TensorFlow and PyTorch
• Familiarity with cloud computing platforms such as AWS or Azure
• Understanding data privacy and compliance regulations
• Experience with developing machine learning applications in production
• Knowledge of data visualization tools and techniques
• Experience in chatbot design and development

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 machine learning models and algorithms for Generative AI projects. As a Senior Associate you will analyze complex problems, mentor others, and maintain standards while collaborating with cross-functional teams to apply innovative AI solutions to enterprise challenges. This role allows you to stay at the forefront of advancements in GenAI technologies and make a significant impact on the future of AI solutions. What Sets You Apart
• Master's Degree in Data Science, Computer Science, Statistics preferred
• Relevant certifications in data science or GenAI technologies
• Excelling in programming with Python, R, or Scala
• Skilled in machine learning libraries like TensorFlow and PyTorch
• Familiarity with cloud computing platforms such as AWS or Azure
• Understanding data privacy and compliance regulations
• Experience with developing machine learning applications in production
• Knowledge of data visualization tools and techniques
• Experience in chatbot design and development