PwC Recruitment 2026: Associate Data Science & Engineering | Kolkata
PwC Associate Data Science & Engineering Recruitment 2026 – Kolkata
PwC has announced an opportunity for the position of **Associate – Data Science & Engineering** in its Data & Analytics team under Advisory. The full-time role is based in Kolkata, West Bengal, and is open to freshers and candidates with up to two years of experience. Candidates with a BE, B.Tech or M.Tech qualification and relevant knowledge of Python, AWS and Data Engineering can explore this opportunity.
The role focuses on using data science, machine learning, deep learning and Generative AI to develop analytical solutions and support business decision-making. Applicants with practical experience in Python-based GenAI applications, cloud platforms, statistical techniques and data engineering workflows should review the eligibility requirements and apply through PwC’s official careers portal before **November 17, 2026**.
PwC Recruitment 2026 – Job Overview
| Company | PwC (PricewaterhouseCoopers) |
| Job Role | Associate – Data Science & Engineering |
| Job Requisition ID | DB_005563 |
| Line of Service | Advisory |
| Specialism | Operations |
| Department | Data & Analytics |
| Qualification | BE, B.Tech, M.Tech |
| Experience | Fresher / 0 to 2 Years |
| Eligible Candidates | Freshers and candidates with up to 2 years of experience |
| Mandatory Skills | Python, AWS, Data Engineering |
| Preferred Skills | Python, AWS, Data Engineering |
| Salary | Not disclosed |
| Job Type | Full Time |
| Work Mode | Not specified |
| Job Location | Kolkata, West Bengal |
| Posted | November 2026 (Posted Yesterday on the listing) |
| Last Date to Apply | November 17, 2026 |
About PwC
PwC is a global professional services network that works with organisations across industries to help solve business challenges and build trust. Its teams bring together business knowledge, technology and analytical capabilities to support clients in making informed decisions.
According to the job description, PwC’s Data and Analytics professionals use data to generate insights and help clients improve business decisions and operations. The Business Intelligence area focuses on developing and implementing analytical solutions that improve business performance and help clients achieve strategic goals.
About the Role – Associate Data Science & Engineering
As an Associate in Data Science and Engineering, you will work with analytical, machine learning and deep learning techniques to develop solutions for business requirements. The position combines programming, statistical analysis, cloud-based data engineering and Generative AI.
The role involves building analytical and ML/DL algorithms using Python, R and other statistical or data engineering tools. You will also work on scalable data pipelines and cloud-based solutions using AWS services to support advanced analytics and AI/ML workflows.
The job description specifically highlights hands-on Generative AI experience, including developing and deploying GenAI applications in production environments using Python and cloud platforms such as AWS.
Key Responsibilities
Candidates selected for this role may work on the following responsibilities mentioned in the job listing:
- Design and build analytical, deep learning (DL) and machine learning (ML) algorithms.
- Use Python, R and other statistical and data engineering tools to develop analytical solutions.
- Develop scalable data pipelines to support data processing and analytics requirements.
- Build cloud-based data engineering solutions by leveraging AWS services.
- Support advanced analytics and AI/ML workflows through cloud-based solutions.
- Design, develop and deploy Generative AI applications in production environments.
- Work with GenAI platforms and services, including OpenAI and Google Gemini, as part of data engineering pipelines.
- Apply statistical and data mining techniques to support analytical problem-solving and business intelligence.
Technical Skills Required
PwC is looking for candidates with knowledge and practical experience in the following technical areas:
- Python: Proficiency in Python programming for data science, analytics and application development.
- AWS: Knowledge of cloud platforms and AWS services for data engineering and AI/ML workflows.
- Data Engineering: Understanding of data pipelines, distributed data processing and cloud-based data engineering tools.
- Generative AI: Hands-on experience designing, developing and deploying GenAI applications in production environments.
- Statistical Techniques: Knowledge of Linear Regression, Logistic Regression, Decision Trees, Bagging, Boosting, Time Series Analysis and Non-parametric methods.
- SQL and R: Proficiency in SQL and R alongside Python for analytical and data-related work.
- GenAI Platforms: Experience with platforms and services such as OpenAI and Google Gemini, particularly when integrated into data engineering pipelines.
Mandatory skills: Python, AWS and Data Engineering.
Preferred skills: Python, AWS and Data Engineering.
Eligibility Criteria
Candidates interested in applying should review the following requirements:
- Applicants should have completed BE, B.Tech or M.Tech.
- Freshers and candidates with 0 to 2 years of experience are eligible as stated in the listing.
- Applicants should have knowledge of Python, AWS and Data Engineering.
- Candidates should be familiar with statistical and data mining techniques.
- Knowledge of SQL, R and distributed data processing frameworks is required as part of the technical skills description.
- Hands-on Generative AI experience, including production application development using Python and cloud platforms, is highlighted in the job requirements.
- Applicants should be prepared to work with GenAI services such as OpenAI and Google Gemini in data engineering pipelines.
The listing does not specify a particular graduation batch, minimum percentage, backlog condition or a fixed number of years of experience beyond the stated fresher / 0–2 years range.
Salary Details
PwC has not disclosed the exact salary or compensation package for the Associate – Data Science & Engineering position in the provided job listing. The final compensation details should be confirmed through the official recruitment process. Candidates should refer to the company’s communication for role-specific salary information.
Why Consider This Opportunity?
This position offers exposure to several areas of modern data and AI development, including machine learning, deep learning, Generative AI, Python programming, AWS and data engineering. Candidates can work towards building skills in analytical solution development and cloud-based AI/ML workflows while contributing to business intelligence projects.
PwC also highlights mentorship, learning opportunities, wellbeing support, inclusive benefits and flexibility programmes as part of its employee experience. The company describes its workplace as a community focused on trust, collaboration, innovation and creating outcomes for clients and communities.
Recommended Skills and Learning Resources
Candidates preparing for data science and engineering roles can strengthen their foundations in Python, AWS and data science concepts. The following learning resources may be useful:
- Python Course and Notes – revise Python programming concepts.
- AWS Course – build familiarity with cloud computing concepts and AWS.
- Data Science Complete Course – strengthen your understanding of data science fundamentals.
Interview Preparation
Applicants should prepare Python programming, SQL queries, statistics, machine learning algorithms, data engineering concepts, AWS fundamentals and practical Generative AI use cases. Be ready to explain projects involving data pipelines, model development or GenAI applications, especially if you have hands-on experience.
You can also use these preparation resources:
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How to Apply for PwC Recruitment 2026?
Interested and eligible candidates can submit their applications through the official PwC Workday careers page. Follow these steps:
- Visit the official PwC job application page using the Apply Now link below.
- Review the complete job description, eligibility criteria and technical skill requirements.
- Sign in to your existing account or create an account if required.
- Complete the application form with accurate personal, educational and professional details.
- Upload your updated resume and provide any other information requested in the application.
- Review your details and submit the application through the official portal.
Important: The job listing states that work visa sponsorship is not available. Travel requirements and work mode are not specified. The application deadline is November 17, 2026, so interested candidates should apply before the closing date.
Frequently Asked Questions (FAQs)
1. Who can apply for the PwC Associate Data Science & Engineering position?
Candidates with BE, B.Tech or M.Tech qualifications can apply. The listing mentions freshers and candidates with 0 to 2 years of experience. Knowledge of Python, AWS and Data Engineering is required.
2. What is the salary for this PwC Associate role?
The salary has not been disclosed in the provided job notification. Candidates should confirm the compensation details during the official recruitment process.
3. What is the job location and application deadline?
The position is based in Kolkata, West Bengal, and is listed as a full-time opportunity. The application deadline is November 17, 2026. The work mode is not specified in the listing.
Final Note
PwC’s Associate – Data Science & Engineering opening is an opportunity for eligible candidates interested in Python, AWS, data engineering, machine learning and Generative AI. Before applying, carefully review the official job description and ensure that your resume highlights relevant technical skills, projects and practical experience. Submit your application through the official PwC careers portal before the stated deadline.