Overview
Senior Associate Data Engineer in PwC's Advisory line of service, Data, Analytics & AI specialism, leveraging data to drive insights and inform business decisions for clients.
What you'll do
- Lead the development of advanced machine learning (ML) and statistical models to solve complex healthcare problems.
- Establish and promote best practices in modeling, experimentation, and analytical rigor.
- Convert 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.
- Keep up to date with the latest advances in ML and healthcare analytics.
- Conduct exploratory data analysis using visualizations to understand data patterns and structures.
- Perform statistical analysis and hypothesis testing to validate assumptions.
- Develop, deploy, evaluate, and fine-tune machine learning models for business challenges.
- Design and implement scalable data pipelines, ETL workflows, and data integration strategies into Snowflake/Data Lake platforms.
- Utilize advanced statistical and machine learning methods to derive actionable insights.
- Lead AI research projects focused on innovative data analysis techniques.
What you'll need
- Bachelor of Engineering (full-time B.E).
- 4+ years of hands-on experience building data analytics, data engineering, and machine learning solutions.
- Strong expertise with Azure Stack services and Snowflake.
- Proficient in SQL with deep knowledge of dimensional modeling.
- Experience creating interactive dashboards using Power BI or Tableau.
- Familiarity with advanced statistical analysis, machine learning, and predictive modeling.
- Excellent communication skills with the ability to simplify complex technical concepts for diverse audiences.
Nice to have
- Programming proficiency in R or Python.
- Experience with AI Automation projects, including Generative AI or Agentic AI.
- Python, Machine learning, Deep learning.
Details
- Location: Hyderabad.
- Employment type: Full time, permanent.
- Years of experience required: 5+ years.
- Visa sponsorship: No.
- Government clearance required: No.
- Job posting end date: September 4, 2026.
Read the full description and apply on the company’s own careers page.