22 days ago
Hyderābād, IndiaSenior
Responsibilities
- Develop, deploy, evaluate, and fine-tune machine learning and statistical models for complex healthcare and business problems.
- Conduct exploratory data analysis, statistical analysis, hypothesis testing, predictive modeling, and advanced machine learning analysis.
- Design and implement scalable data pipelines, ETL workflows, and data integration strategies for Snowflake and data lake platforms.
- Translate real-world healthcare challenges into scalable data science solutions and actionable insights.
- Lead AI research projects focused on innovative data analysis techniques.
- Collaborate with global stakeholders to influence product and business strategy.
- Establish modeling, experimentation, and analytical best practices and mentor data science team members.
Requirements
- At least five years of hands-on experience building data analytics, data engineering, and machine learning solutions.
- Full-time Bachelor of Engineering degree.
- Strong expertise with Azure Stack services and Snowflake.
- Proficiency in SQL and deep knowledge of dimensional modeling.
- Experience creating interactive dashboards with Power BI or Tableau.
- Familiarity with advanced statistical analysis, machine learning, and predictive modeling.
- Programming proficiency in R or Python preferred.
- Preferred skills include Python, machine learning, and deep learning.
- Experience with AI automation projects, including Generative AI or Agentic AI, is a plus.
- Excellent communication skills and the ability to explain complex technical concepts to diverse audiences.
Benefits
- Full-time, permanent employment based in Hyderabad.
- PwC offers inclusive benefits, wellbeing support, flexibility programmes, mentorship, and professional development 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.