IN_Senior Associate_Data engineer_Advisory_OneCloud_Pan India

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Operations

Management Level
Senior Associate

Job Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.


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: Data Scientist with 3+ years of experience in leveraging data to deliver actionable insights and build scalable machine learning models. The ideal candidate will have strong statistical and analytical skills, a deep understanding of data science workflows, and proficiency in Python, SQL, and machine learning libraries like Scikit-learn, TensorFlow, or PyTorch.

Responsibilities:

· Collect, clean, and explore structured and unstructured datasets to uncover patterns, trends, and insights. · Design, build, and validate machine learning models for classification, regression, clustering, recommendation systems, etc. · Develop and select relevant features to improve model performance and accuracy. · Apply statistical methods to analyze business problems and validate hypotheses. · Stay up to date with the latest data science techniques, libraries, and industry trends. · Work closely with data engineers, analysts, product managers, and business teams to integrate data science solutions into products and workflows. · Deploy models into production environments and monitor their performance over time.

Mandatory skill sets:

Python, PyTorch or TensorFlow, Sklearn

Preferred skill sets:

· Hands-on experience Data Analytics tools with cloud platforms (AWS, Azure, GCP) · AI/ML, NLP, or deep learning · Familiarity with MLOps practices for deploying and monitoring models in production.

Years of experience required:

4 to 10 years

Education qualification:

B-Tech/M-Tech

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Python (Programming Language)

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date