Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
Job Description & Summary
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
4 years of experience in relevant technical/technology experience with a focus on GenAI projects
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 are positioned to design and implement cutting-edge AI solutions that leverage the Databricks ecosystem. As a Senior Associate, you are expected to analyze complex problems, mentor junior team members, and build meaningful client relationships while navigating the intricacies of GenAI technologies. Join us to be at the forefront of innovation, where your contributions directly impact the future of AI solutions.
Responsibilities
Analyze data using Databricks Mosaic AI to derive insights
Collaborate with teams to develop data-driven solutions
Maintain data integrity and accuracy in analysis processes
Provide technical support and guidance on data analysis tools
Develop and maintain documentation for data processes
Stay informed on industry trends and practices in data analytics
Mentor junior analysts to enhance their skills
Contribute to the development of innovative data solutions
What You Must Have
Bachelor's Degree
3 years of experience in data analysis
Oral and written proficiency in English required
What Sets You Apart
Bachelor's or Master's Degree in Data Science
Relevant certifications in data science or GenAI technologies
Skilled in programming languages such as Python, R, or Scala
Experienced in machine learning libraries like TensorFlow or PyTorch
Skilled in data preprocessing and feature engineering techniques
Knowledgeable in statistical analysis and experimental design
Familiar with cloud computing platforms like AWS or Azure
Proven experience building RAG pipelines on Databricks
Familiarity with LLM-backed agent frameworks preferred
Travel Requirements
Not Specified
Job Posting End Date