PwC Associate Data Science & Engineering Jobs 2026 – Freshers

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PwC Associate Data Science & Engineering Hiring 2026 – Freshers

PwC is inviting applications for the Associate – Data Science & Engineering position under its Data & Analytics – Advisory division in Kolkata, West Bengal. This opportunity is suitable for engineering graduates interested in data science, data engineering, Artificial Intelligence (AI), Machine Learning (ML) and Generative AI technologies.

Candidates with BE, B.Tech or M.Tech qualifications and 0–2 years of experience can apply. Freshers with relevant knowledge of Python, AWS and data engineering may consider this opportunity. Interested graduates can explore this latest PwC recruitment 2026 and submit their applications through the official careers portal.

Quick Job Details

Company	PwC (PricewaterhouseCoopers)
Job Role	Associate – Data Science & Engineering
Location	India
Work Location	Kolkata DN 57, Kolkata
Qualification	BE, B.Tech, M.Tech
Eligible Batch	Not specified by employer
Experience	Freshers / 0–2 Years
Salary	Not disclosed by employer
Work Mode	Not specified by the employer
Job Type	Full Time
Job ID	DB_005563
Application Deadline	17 November 2026

About the Role

As an Associate in Data Science & Engineering, candidates will work on analytical solutions, machine learning algorithms and scalable data pipelines. The role involves using data science techniques and cloud technologies to help clients improve business performance and make informed decisions.

Key Responsibilities

• Design and build analytical, deep learning and machine learning algorithms using Python, R and statistical tools.
• Develop scalable data pipelines for advanced analytics applications.
• Build cloud-based data engineering solutions using AWS services.
• Support AI and machine learning workflows through data engineering solutions.
• Develop and deploy Generative AI applications in production environments.
• Integrate AI platforms such as OpenAI and Google Gemini into data engineering pipelines.

Eligibility and Required Skills

• Educational Qualification: BE, B.Tech or M.Tech.
• Experience: Freshers / 0–2 years of experience.
• Mandatory Skills: Python, AWS and Data Engineering.
• Knowledge of SQL, R and distributed data processing frameworks.
• Understanding of statistical and data mining techniques, including Linear Regression, Logistic Regression, Decision Trees, Bagging and Boosting.
• Knowledge of Time Series Analysis and non-parametric methods.
• Hands-on knowledge of Generative AI, OpenAI and Google Gemini.
• Understanding of cloud platforms and AI/ML application development.

Salary and Career Opportunities

Salary: Not disclosed by the employer.

This Associate position provides an opportunity to work with data science, cloud computing, AI/ML and Generative AI technologies. Candidates can develop practical experience in Python programming, AWS cloud services, data pipelines and advanced analytics.

Recommended Skills & Learning Resources

• Python and SQL: Practise Python programming, SQL queries, data manipulation and problem-solving.
• AWS and Data Engineering: Learn cloud fundamentals, AWS services, ETL concepts and scalable data pipelines.
• Generative AI and Machine Learning: Understand ML algorithms, OpenAI APIs, Google Gemini and practical GenAI application development.

Interview Preparation

Candidates preparing for this PwC recruitment should focus on Python programming, SQL queries, AWS fundamentals, data engineering concepts and machine learning algorithms.

• Revise Python data structures, functions, libraries and coding problems.
• Practise SQL joins, subqueries, aggregate functions and window functions.
• Understand AWS services and cloud-based data processing.
• Prepare Linear Regression, Logistic Regression, Decision Trees and ensemble learning concepts.
• Learn the fundamentals of Generative AI, OpenAI and Google Gemini integration.
• Be prepared to explain academic projects, practical implementations and technical skills mentioned in your resume.

Related Jobs

Explore other relevant data science, Python developer, AWS cloud and data engineering fresher opportunities on NextGen CareersHub as they become available.

How to Apply for PwC Associate Data Science & Engineering

Eligible candidates can apply online through the official PwC careers portal by following these steps:

1. Visit the official PwC recruitment application page using the link below.
2. Review the Associate – Data Science & Engineering job requirements.
3. Check your educational qualifications and experience eligibility.
4. Register or log in to your PwC careers account if required.
5. Complete the application form and upload your updated resume.
6. Review your details and submit the application.

Apply Now – PwC

Application Deadline: 17 November 2026

Frequently Asked Questions (FAQs)

1. Is PwC Associate Data Science & Engineering hiring suitable for freshers?

Yes. According to the job notification, the required experience is Freshers / 0–2 Years. Candidates meeting the educational and technical requirements can apply.

2. What qualifications are required for PwC Associate recruitment?

Candidates with BE, B.Tech or M.Tech qualifications are eligible to apply, subject to the employer’s requirements.

3. Which batches are eligible to apply for this PwC job?

The employer has not specified eligible graduating batches in the job notification. Candidates should check the official application page for additional eligibility information.

4. What is the salary offered for PwC Associate Data Science & Engineering?

The salary has not been disclosed by the employer. Candidates can refer to the official recruitment process for compensation details.

5. What are the mandatory skills required for this PwC position?

Python, AWS and Data Engineering are the mandatory skills mentioned in the job notification. Knowledge of SQL, R, Machine Learning and Generative AI is also relevant.

Interested candidates should review the official PwC job notification, verify their eligibility, prepare an updated resume highlighting Python, AWS and data engineering skills, and apply through the official recruitment portal before 17 November 2026.