Associate – Data Science & Engineering (Data & Analytics Advisory)

Round 1: Technical – Python, AWS, Data Engineering → Round 2: Technical – Generative AI, ML, Statistical Modeling → Round 3: HR

PwC fosters a collaborative environment that encourages knowledge sharing and innovation. Employees enjoy structured career progression, mentorship programs and a healthy work‑life balance. The firm regularly hosts tech talks, hackathons and community service events to promote continuous learning and engagement.

PwC interviews typically involve three rounds: a technical assessment focusing on Python, AWS and data‑engineering concepts, a second technical round covering generative AI and machine‑learning techniques, followed by an HR round to assess cultural fit. Candidates often face scenario‑based questions and coding challenges. Preparation with coding platforms and mock interviews is highly recommended.

Bachelor’s or Master’s degree in Engineering (B.E/B.Tech/M.E/M.Tech), MCA or MBA. Minimum 60% in qualifying exam. Freshers or 0–2 years of experience. No backlog allowed.

PwC, one of the world’s largest professional services networks, offers a blend of assurance, tax, consulting and deals services. Its Data & Analytics Advisory practice helps clients harness data to drive strategic decisions, improve operational efficiency and unlock new revenue streams. In India, PwC has a strong presence across major metros, providing a collaborative environment that values innovation, diversity and continuous learning. The Associate – Data Science & Engineering role in Kolkata is part of the Data & Analytics Advisory team. You will be responsible for designing, building and deploying analytical, deep‑learning and machine‑learning solutions on AWS. The role requires a solid foundation in Python, SQL, R and cloud‑based data engineering tools, along with hands‑on experience in Generative AI platforms such as OpenAI and Google Gemini. Key responsibilities include: 1. Developing end‑to‑end data pipelines using AWS services (S3, Glue, Redshift, SageMaker, Lambda). 2. Implementing statistical models – linear/logistic regression, decision trees, bagging, boosting, time‑series analysis. 3. Building and deploying generative AI applications in production. 4. Collaborating with cross‑functional teams to translate business requirements into technical solutions. 5. Performing data quality checks, feature engineering and model validation. 6. Optimizing model performance and ensuring scalability. 7. Documenting code, models and processes for audit and compliance. 8. Staying updated with the latest advancements in AI/ML and cloud technologies. 9. Mentoring junior analysts and interns. 10. Participating in client workshops and presentations. Tech stack: Python, R, SQL, AWS (S3, Glue, Redshift, SageMaker, Lambda), Generative AI platforms (OpenAI, Gemini), distributed processing frameworks. Growth path: Starting as an Associate, you can progress to Senior Associate, Manager, Senior Manager and eventually lead a team of data scientists and engineers. PwC’s global mobility program offers opportunities to work in different geographies and industries. Why join PwC? The firm offers a competitive compensation package, a culture of mentorship, access to cutting‑edge tools, and a platform to work on high‑impact projects for Fortune 500 clients. Employees benefit from structured learning paths, leadership development programs and a strong emphasis on work‑life balance. Overall, this role is ideal for fresh graduates or early‑career professionals who are passionate about data science, cloud computing and generative AI, and who want to build a career in a globally respected consulting firm.