Are you looking to start your career in Data Science, Artificial Intelligence or Data Engineering? Here is an opportunity worth exploring. PwC is recruiting for the Associate – Data Science & Engineering position in Kolkata, West Bengal. Candidates with a background in BE, B.Tech or M.Tech and knowledge of Python, AWS and Data Engineering can consider applying.
The PwC Associate Data Science Recruitment drive is listed under the firm’s Advisory service line, within Data & Analytics. The position focuses on building analytical solutions, developing machine learning and deep learning algorithms, creating scalable data pipelines and working with Generative AI technologies.
According to the official job posting, candidates with 0–2 years of experience, including freshers, are eligible to be considered. If you have relevant technical knowledge and want to work on data-driven business solutions, read the complete job details, eligibility criteria, required skills and application process below.
PwC Associate Data Science Recruitment 2026 – Job Overview
| Job Details | Information |
|---|---|
| Company Name | PwC (PricewaterhouseCoopers) |
| Job Role | Associate – Data Science & Engineering |
| Job Requisition ID | DB_005563 |
| Job Category | Data & Analytics |
| Service Line | Advisory |
| Specialism | Operations |
| Management Level | Associate |
| Job Location | Kolkata, West Bengal |
| Work Type | Full-Time |
| Experience | Fresher / 0–2 Years |
| Qualification | BE, B.Tech or M.Tech |
| Mandatory Skills | Python, AWS and Data Engineering |
| Technical Skills | Machine Learning, Deep Learning, Generative AI, Python, SQL, R |
| Cloud Platform | AWS |
| AI Platforms | OpenAI and Google Gemini |
| Salary | Not disclosed |
| Work Visa Sponsorship | Not available |
| Travel Requirements | Not specified |
| Application Deadline | 17 November 2026 |
| Apply Mode | Online |
About PwC
PwC works with businesses to address complex challenges, improve operations and make informed decisions. Data analytics, artificial intelligence and technology are important parts of modern business transformation, helping organisations understand information and identify opportunities.
The company describes its people as a community of solvers focused on building trust and creating outcomes for clients and communities. It also highlights learning, collaboration, mentorship, inclusion and employee wellbeing as part of its workplace approach.
For candidates interested in data science and engineering, this position offers an opportunity to work in an advisory environment where technical skills are applied to business problems.
About the PwC Associate Data Science & Engineering Role
The PwC Associate Data Science Recruitment opportunity is intended for candidates interested in combining data science, machine learning, artificial intelligence and cloud-based data engineering.
As an Associate, you may work on developing analytical models, building data pipelines and supporting AI/ML workflows. The job description specifically mentions Python, R, SQL, AWS, statistical techniques and Generative AI technologies.
The role is not limited to analysing datasets. It also involves developing scalable technical solutions that can support advanced analytics and business intelligence requirements.
Candidates should have a good understanding of programming and data engineering fundamentals. Knowledge of machine learning algorithms, cloud services and Generative AI applications is also important for this position.
PwC Associate Data Science Recruitment Eligibility Criteria
Before applying for the PwC Associate Data Science Recruitment 2026, candidates should review the educational and experience requirements.
Educational Qualification
According to the job posting, the required educational qualifications are:
- Bachelor of Engineering (BE)
- Bachelor of Technology (B.Tech)
- Master of Technology (M.Tech)
The supplied posting does not specify a mandatory engineering branch or a minimum academic percentage.
Candidates should review the official application form for any additional education-related questions or conditions.
Experience Requirements
PwC has mentioned the experience requirement as Fresher / 0 to 2 Years.
This means candidates with no prior full-time experience may be considered, along with applicants who have up to two years of experience.
Freshers with relevant academic projects, internships or practical exposure to Python, AWS and data engineering can highlight that experience in their resumes.
Mandatory Technical Skills
The job posting identifies three mandatory skill areas:
- Python
- AWS
- Data Engineering
Candidates should pay particular attention to these skills while preparing their applications.
Additional Technical Knowledge
The detailed job description also highlights several technical areas:
- Generative AI application development
- Machine Learning and Deep Learning
- Statistical analysis
- Data mining techniques
- Python, SQL and R
- Distributed data processing frameworks
- Cloud-based data engineering
- OpenAI and Google Gemini integration
Important Machine Learning and Statistical Concepts to Prepare
The job description specifically mentions statistical and data mining techniques. Candidates preparing for the technical interview should revise the following topics.
Linear Regression
Linear Regression is a statistical technique used to understand the relationship between variables and predict continuous numerical values.
For example, it can be used to estimate sales based on historical business data.
Logistic Regression
Logistic Regression is commonly used for classification problems. It helps estimate the probability of an outcome, such as whether a customer may leave a service or whether a transaction may be fraudulent.
Decision Trees
Decision Trees use a tree-like structure to make predictions or classifications based on a series of conditions.
Candidates should understand how decision trees work and their advantages and limitations.
Bagging and Boosting
These are ensemble learning techniques used to improve model performance.
- Bagging: Combines multiple models trained on different samples of data.
- Boosting: Builds models sequentially, with later models focusing on correcting earlier errors.
Time Series Analysis
Time Series Analysis involves studying data collected over time to identify trends, patterns and seasonal behaviour.
It is commonly used in forecasting applications.
Non-Parametric Methods
Non-parametric statistical methods are techniques that do not rely on the same strict distribution assumptions as many parametric methods.
Understanding when to use these methods can be useful in practical data analysis.
Job Location and Work Details
The position is listed for Kolkata, West Bengal, under the Advisory service line.
| Work Information | Details |
|---|---|
| City | Kolkata |
| Location Listed | Kolkata DN 57 |
| Employment Type | Full-Time |
| Service Line | Advisory |
| Specialism | Operations |
| Management Level | Associate |
| Travel Requirements | Not specified |
| Work Visa Sponsorship | No |
The job posting does not specify whether the position is remote, hybrid or fully office-based. Candidates should confirm the work arrangement with the recruitment team.
Final Words
The PwC Associate Data Science Recruitment 2026 is an opportunity for eligible engineering graduates and early-career candidates who want to build a career in data science, machine learning, Generative AI and cloud-based data engineering.
With Python, AWS and Data Engineering listed as mandatory skills, candidates should focus on strengthening these areas before applying. Knowledge of SQL, R, statistical techniques and Generative AI platforms can also be valuable for understanding the role.
If your educational background and technical skills match the requirements, review the official job posting and submit your application before 17 November 2026.
