PwC is hiring freshers and experienced candidates for the Associate – Data Science & Engineering role in Kolkata. Candidates with BE, B.Tech, or M.Tech degrees and 0–2 years of experience can apply for this opportunity. This is a good opportunity for candidates interested in data science, data engineering, artificial intelligence, and analytics.

The role involves developing machine learning and deep learning algorithms, building scalable data pipelines, and implementing Generative AI applications using Python and AWS. Candidates with knowledge of Python, SQL, R, cloud technologies, and data engineering can apply.
PwC Recruitment 2026
| DetailsInformation | Information |
|---|---|
| Company | PwC |
| Job Role | Associate – Data Science & Engineering |
| Qualification | BE / B.Tech / M.Tech |
| Experience | 0–2 Years |
| Freshers Eligible | Yes |
| Salary | Expected – To Be Confirmed |
| Job Type | Full-Time |
| Work Mode | Not Specified |
| Location | Kolkata, West Bengal |
| Job Category | Data & Analytics – Advisory |
| Management Level | Associate |
| Job ID | DB_005563 |
| Last Date | 17 November 2026 |
PwC Associate Data Science & Engineering Job Description
PwC is looking for talented candidates to join its Data & Analytics Advisory team as Associate – Data Science & Engineering in Kolkata. The selected candidates will work on data science, machine learning, deep learning, Generative AI, and cloud-based data engineering projects.
The role focuses on leveraging data analytics to generate business insights and support informed decision-making for clients. Candidates will develop analytical solutions, build scalable data pipelines, and implement AI/ML applications using Python, R, AWS, and Generative AI platforms.
Roles and Responsibilities
- Design and develop analytical, machine learning (ML), and deep learning (DL) algorithms using Python, R, and other statistical tools.
- Develop scalable data pipelines to support advanced analytics and AI/ML workflows.
- Build cloud-based data engineering solutions using AWS services.
- Design, develop, and deploy Generative AI applications in production environments.
- Integrate Generative AI platforms such as OpenAI and Google Gemini into data engineering pipelines.
- Perform statistical analysis and apply machine learning techniques to solve business problems.
- Work with distributed data processing frameworks and cloud-based data engineering tools.
- Analyse large datasets and generate meaningful business insights.
- Develop innovative data analytics solutions to improve business performance.
- Collaborate with teams to deliver data science and engineering solutions for clients.
Qualifications & Skills
- Candidates must have completed BE, B.Tech, or M.Tech.
- Freshers and candidates with 0–2 years of experience can apply.
- Strong programming knowledge in Python, SQL, and R.
- Mandatory knowledge of Python, AWS, and Data Engineering.
- Hands-on experience with Generative AI applications.
- Knowledge of deploying GenAI applications using Python and AWS.
- Understanding of machine learning and deep learning algorithms.
- Knowledge of statistical techniques such as Linear Regression, Logistic Regression, Decision Trees, Bagging, Boosting, and Time Series Analysis.
- Experience with distributed data processing frameworks.
- Knowledge of cloud-based data engineering tools.
- Familiarity with OpenAI and Google Gemini platforms.
- Good analytical, problem-solving, and communication skills.
Work Environment
This is a full-time opportunity based in Kolkata, West Bengal, under PwC’s Data & Analytics Advisory team.
Selected candidates will work with data science and engineering teams on analytics, machine learning, deep learning, cloud-based solutions, and Generative AI projects.
The official job posting does not specify whether the role follows a work-from-office, hybrid, or remote arrangement.
Salary Details
The expected salary for the PwC Associate – Data Science & Engineering role is approximately ₹7 LPA to ₹11 LPA.
This is an estimated salary range based on available salary information for similar PwC Data Science and Engineering associate positions. The actual compensation may vary depending on the candidate’s technical skills, qualifications, experience, and company policies. PwC has not officially disclosed the salary for this particular opening. Talentd+2
How To Apply For PwC Recruitment 2026
- Click on the Apply Here button provided below.
- You will be redirected to the official PwC careers page.
- Search for Associate – Data Science & Engineering.
- Check the eligibility criteria and job requirements.
- Create an account or log in to your existing account.
- Fill in the application form with the required details.
- Upload your updated resume and educational documents.
- Verify all the information before submitting.
- Submit your application through the official recruitment portal.
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About PwC Company
PwC (PricewaterhouseCoopers) is one of the world’s leading professional services networks, providing services in audit, assurance, tax, consulting, and advisory.
PwC helps organizations solve complex business challenges through technology, data analytics, business consulting, and digital transformation services.
The company focuses on combining industry expertise with innovative technology to help clients improve business performance, manage risks, and achieve their strategic goals.
PwC also provides employees with opportunities to develop their professional skills through training, mentorship, collaboration, and exposure to different business projects.
Final Summary
PwC is hiring freshers for Associate – Data Science & Engineering in Kolkata. Candidates with BE, B.Tech, or M.Tech degrees and 0–2 years of experience are eligible to apply.
The role focuses on Python, AWS, Data Engineering, Machine Learning, Deep Learning, Generative AI, OpenAI, and Google Gemini.
The expected salary is ₹7–11 LPA, and the position is full-time under the Data & Analytics Advisory team.
Last Date: 17 November 2026
Interested candidates should apply through the official PwC careers portal before the application deadline.



