IN_Manager_AI Data Scientist Engineer_GCC_Advisory_Gurugram

PwC

Gurugram District

Sur place

INR 3 000 000 - 5 500 000

Plein temps

Il y a 2 jours

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Résumé du poste

PwC seeks a Senior Data Science AI Engineer to lead development of advanced ML models for healthcare applications. You will establish modeling best practices, translate real-world healthcare problems into scalable AI solutions, and collaborate with global stakeholders to shape product strategy.

Mentorship of the data science team and staying current with ML advances are expected. The role requires strong experience in Transformers, graph ML, and production-ready deployments, with a focus on

Qualifications

8+ years of experience in data science or a related quantitative field.
Solid grounding in statistical modeling and ML.
Experience handling large, high-dimensional datasets and delivering actionable insights.

Responsabilités

Lead development of advanced ML and statistical models for healthcare problems.
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.
Stay updated with advances in ML and healthcare analytics.

Connaissances

Python

Machine learning

Deep learning

Transformers

Graph Neural Networks

Causal inference

Formation

Bachelor of Engineering

MBA

Outils

TensorFlow

PyTorch

Spark

Description du poste

Job Information

Line of Service: Advisory
Industry/Sector: Not Applicable
Specialism: Operations
Management Level: Manager

Job Description & Summary

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.

As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support.

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.

Responsibilities

Position Overview: Senior Data Science AI Engineer

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