Data Science : Senior Associate at PwC · Hybrid -…

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, youll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. Youll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
• As part of the Customer Link team you will apply data analytics and machine learning techniques to solve real-world client problems. As a Senior Associate you will build analytical models, derive insights from complex datasets, and leverage AI to enhance problem-solving while developing a deeper understanding of business contexts. This role emphasizes critical thinking and structured problem-solving, providing a platform to collaborate with cross-functional teams and engage with stakeholders effectively.

Responsibilities
• Apply data analytics and machine learning techniques to client challenges
• Build analytical models to derive insights from diverse datasets
• Leverage AI tools to enhance problem-solving capabilities
• Collaborate with cross-functional teams to drive project success
• Develop a deeper understanding of business contexts and needs
• Engage effectively with stakeholders to gather requirements
• Utilize critical thinking for structured problem-solving
• Maintain rigorous standards in analytical deliverables

What You Must Have
• Bachelor's or Master Degree
• 4 years of experience in data science or analytics
• Oral and written proficiency in English required

What Sets You Apart
• Bachelor's or master's degree in Engineering, Statistics, or a related field
• 4+ years of experience in Python for data analysis and machine learning.
• Familiarity with AI techniques and prompt engineering
• Solid understanding of machine learning techniques and statistical analysis
• Exposure to PySpark and large-scale data environments
• Curiosity to explore new AI techniques
• Ability to think structurally and approach problems clearly
• Demonstrating ownership in fast-paced environments
• Excelling in collaboration and stakeholder management skills