Associate Data Science & Engineering

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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

Responsibilities:

• Designing and building analytical, deep learning (DL), and machine learning (ML) algorithms using Python, R, and other statistical and data engineering tools.
• Developing scalable data pipelines and cloud-based solutions leveraging AWS services to support advanced analytics and AI/ML workflows.

Technical Skills Required:

• Hands-on experience with Generative AI, including designing, developing, and deploying GenAI applications in production environments using Python and cloud platforms like AWS.
• Strong knowledge of statistical and data mining techniques such as Linear & Logistic Regression, Decision Trees, Bagging, Boosting, Time Series analysis, and Non-parametric methods.
• Proficiency in Python, SQL, and R, combined with experience in distributed data processing frameworks and cloud-based data engineering tools.
• Proven expertise with Generative AI platforms and services, including OpenAI and Google Gemini, integrated within data engineering pipelines.