Senior Associate – AI Data Engineer (Data & Analytics)

About the role

At PwC, Senior Associates in AI Data Engineering work within the Data & Analytics Advisory practice to help clients transform their operations through advanced analytics and machine learning. The role focuses on applying data science techniques to solve complex healthcare challenges and drive data‑driven decision‑making.

Key responsibilities

• Lead the development of advanced machine learning and statistical models to address healthcare problems.
• Establish and promote best practices in modeling, experimentation, and analytical rigor.
• Translate real‑world healthcare challenges into scalable data science solutions.
• Collaborate with global stakeholders to influence product and business strategy.
• Mentor and enhance the technical capabilities of the data science team.
• Stay up‑to‑date with the latest advances in machine learning and healthcare analytics.
• Conduct exploratory data analysis using visualizations to understand data patterns.
• Perform statistical analysis and hypothesis testing to validate assumptions.
• Develop, deploy, evaluate, and fine‑tune machine learning models for business challenges.

Required profile

• Senior Associate level with experience in data science and analytics.
• Proven ability to lead complex machine‑learning projects, especially in the healthcare domain.
• Strong analytical mindset and ability to mentor junior team members.

Required skills

• Machine Learning
• Statistical Modeling
• Data Visualization
• Statistical Analysis
• Hypothesis Testing