Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

& 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.

Responsibilities: · Develop and implement machine learning models and algorithms tailored to solve specific business challenges. · Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. · Conduct data preprocessing and feature engineering to optimize model performance. · Evaluate model accuracy and performance, and apply techniques to improve and refine models. · Deploy machine learning solutions in production environments and monitor their performance. · Stay updated on the latest AI/ML trends, technologies, and best practices. Qualifications: · Experience: 2-6 years of hands-on experience in AI/ML development. · Education: Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills: · Proficiency in programming languages such as Python, R, or Java. · Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn. · Strong understanding of data structures, algorithms, and statistical methods. · Experience with cloud platforms (AWS, Google Cloud, Azure) is a plus.

· Analytical Skills: Demonstrated ability to analyze complex data sets and derive actionable insights. · Understanding of GenAI/Agentic AI is a plus Problem-Solving: Creative thinker with strong problem-solving skills and attention to detail. Communication: Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Teamwork: Ability to work collaboratively in a fast-paced environment.

Mandatory skill sets:

AI/ML/Python/Pytorch

Preferred skill sets:

AI/ML/Python/Pytorch

Years of experience required:

2--6 years

Education qualification:

B.E.(B.Tech)/M.E/M.Tech

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Master Degree, Bachelor DegreeDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

AI Programming, Machine Learning (ML), Python (Programming Language), PyTorch

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, 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

August 18, 2025