At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Responsibilities:
- 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.
Mandatory skill sets
- 8+ years of experience in data science or a related quantitative field (e.g., Computer Science, Statistics, Mathematics).
- Solid grounding in statistical modeling, machine learning, and complex problem-solving techniques.
- Proven experience handling large, high-dimensional datasets and delivering clear, actionable insights.
- Expertise with contemporary ML methods, including:
- - Transformers (e.g., NLP and representation learning)
- Deep learning frameworks and architectures
- Graph-based machine learning (such as Graph Neural Networks)
- Familiarity with causal inference and decision-focused modeling is a plus.
- Comfortable tackling ambiguous problems and pursuing impactful outcomes independently.
- Excellent collaboration and communication skills for engaging with a range of stakeholders.
- Experience deploying mode
📌 IN_Manager_Data Science_D&A_Advisory (Hyderabad)
🏢 PwC Service Delivery Center
📍 Hyderabad
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