Data Scientist- Associate 2

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve 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 AI Engineering team you will design and deliver scalable AI applications while conducting applied research in Generative AI and深度学习. As an Associate you will focus on learning and contributing to projects, developing your skills and knowledge to deliver quality work while building meaningful client connections and navigating complex situations. This role offers the chance to work with advanced technologies and be part of a impactful team dedicated to driving enterprise innovation.

Responsibilities

• Design and implement scalable AI applications
• Conduct applied research in Generative AI and advanced learning
• Collaborate with team members to enhance project outcomes
• Develop technical skills to support project tasks
• Build and maintain relationships with clients
• Analyze data to derive insights and inform decisions
• Adapt to evolving technologies and methodologies
• Contribute to a significant team focused on innovation
  
  

• Masters Degree in Computer Science, Engineering, Econometrics, Statistics, Business Analytics, Informatics
• 2 years of experience
• Oral and written proficiency in English required
  
  

• Bachelors Degree in Computer Science, Engineering preferred
• Proficiency in Python and data science libraries
• Experience with Generative AI and prompt engineering
• Knowledge of NLP techniques and transformer architectures
• Familiarity with cloud platforms, preferably Azure
• Understanding of production-level AI systems
• Experience with Docker and containerized deployments
• Desire to innovate and automate processes
• A mindset of continuous learning and technical curiosity