IN_Manager_Data Science_D&A_Advisory_Hyderabad
Top focus
Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary 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. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities.
This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life.
Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law.
We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
Job Description & Summary A career within Data & Analytics Services will provide you with the opportunity to help our clients leverage transformation to enhance their customer experiences
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 modern 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 models into production environments.
- Prior experience or domain knowledge in healthcare, particularly healthcare revenue cycle, is preferred. *Preferred skill sets Python, Machine learning , Deep learning Year of experience required 8 + years *Education Qualification Full time B.
- E Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Science Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship?
- Government Clearance Required?
- Job Posting End Date July 28, 2026