PwC
Website:
pwc.com
Job details:
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.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Skills
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Respond effectively to the diverse perspectives, needs, and feelings of others.
- Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
- Use critical thinking to break down complex concepts.
- Understand the broader objectives of your project or role and how your work fits into the overall strategy.
- Develop a deeper understanding of the business context and how it is changing.
- Use reflection to develop self awareness, enhance strengths and address development areas.
- Interpret data to inform insights and recommendations.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
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 collaborate with product, engineering, and domain experts to develop and implement machine learning models for GenAI projects. As a Senior Associate you will analyze complex problems, guide and mentor others, and maintain rigorous standards while driving innovative solutions across the organization.
Responsibilities
- Collaborate with product and engineering teams to develop machine learning models
- Analyze complex problems and provide innovative solutions
- Mentor and guide team members to foster their growth
- Maintain standards of quality in model development
- Drive innovative solutions across the organization
- Identify opportunities for improvement in machine learning processes
- Uphold professional standards and practices in data analysis
- Contribute to the overall success of GenAI projects
What You Must Have
- Bachelor's Degree
- 4 years of experience delivering GenAI solutions and deploying machine learning solutions
- Oral and written proficiency in English required
What Sets You Apart
- Bachelor's Degree in Engineering, Computer Science, or related field preferred
- Proficiency in Python, SQL, and SAS
- Experience with machine learning solutions in production
- Knowledge of GenAI technologies and frameworks
- Understanding of data privacy and compliance regulations
- Familiarity with cloud services like Azure, AWS, or GCP
- Skills in data visualization and storytelling
- Experience with Git workflows and CI/CD pipelines
- Hands-on experience with ML/DL frameworks
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