6 days ago
Gurgaon, IndiaSenior
Responsibilities
- Lead development of advanced machine learning and statistical models for complex healthcare problems.
- Establish best practices for modeling, experimentation, and analytical rigor.
- Translate healthcare challenges into scalable data science solutions.
- Conduct exploratory data analysis, statistical analysis, and hypothesis testing.
- Develop, deploy, evaluate, and fine-tune machine learning models.
- Design and implement scalable data pipelines, ETL workflows, and data integration strategies for Snowflake and data lake platforms.
- Create interactive dashboards using Power BI or Tableau.
- Lead AI research projects focused on innovative data analysis techniques.
- Collaborate with global stakeholders and influence product and business strategy.
- Mentor team members and enhance the technical capabilities of the data science team.
Requirements
- At least five years of experience building data analytics, data engineering, and machine learning solutions.
- Bachelor of Engineering, BTech, MTech, or another stated qualifying degree background.
- Strong expertise with Azure Stack services and Snowflake.
- Proficiency in SQL and deep knowledge of dimensional modeling.
- Experience with Power BI or Tableau for interactive dashboards.
- Familiarity with advanced statistical analysis, machine learning, and predictive modeling.
- Programming proficiency in R or Python is preferred.
- Preferred skills include Python, machine learning, and deep learning.
- Experience with AI Automation projects, including Generative AI or Agentic AI, is a plus.
- Strong communication skills and the ability to explain complex technical concepts to diverse audiences.
Benefits
- Full-time, permanent employment.
- Location is Gurgaon.
- PwC offers inclusive benefits, flexibility programs, wellbeing support, mentorship, and professional growth opportunities.
Categories
Data EngineeringML Engineering
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.