IN_Associate_Data Science & Engineering_Data & Analytics_Advisory_Kolkata

Round 1: Online Assessment (aptitude & logical reasoning) → Round 2: Technical Interview (coding, data‑science concepts, AWS & AI) → Round 3: HR Interview (fit, motivation, behavioral questions)

PwC is known for its collaborative and inclusive work culture where learning is continuous and mentorship is encouraged. Employees enjoy a balanced mix of client‑facing projects and internal development programs, with ample opportunities for upskilling and career progression.

PwC's interview process typically starts with a timed online aptitude test, followed by a technical interview focusing on data‑science fundamentals, Python coding, and cloud concepts. The final HR round assesses cultural fit, communication skills and motivation. Candidates report a moderate difficulty level; thorough preparation on ML algorithms, AWS services and problem‑solving techniques greatly improves success chances.

BE/B.Tech/M.Tech in Computer Science, Information Technology, Electronics, Electrical, or related engineering streams; minimum 60% aggregate (or CGPA 6.5/10); no active backlogs at the time of joining; batch years 2023‑2026; strong analytical mindset and willingness to learn.

PwC (PricewaterhouseCoopers) is one of the world’s leading professional services networks, offering audit, tax, consulting and advisory services across more than 150 countries. In India, PwC has built a strong reputation for delivering high‑impact solutions to Fortune‑500 clients, leveraging deep industry knowledge and cutting‑edge technology. The firm’s culture is anchored in trust, collaboration and a purpose‑driven mindset, encouraging employees to innovate, learn continuously, and make a tangible difference for clients and society. The role of Associate – Data Science & Engineering (Data & Analytics – Advisory) in the Kolkata office is designed for fresh graduates or candidates with up to two years of experience who are passionate about turning raw data into strategic insights. As part of the Data & Analytics practice, you will work closely with senior consultants and data engineers to design, develop, and deploy advanced analytics solutions that help clients optimise operations, enhance decision‑making, and achieve their strategic objectives. Key Responsibilities: 1. Design and implement analytical, deep‑learning and machine‑learning models using Python, R and related libraries. 2. Build scalable data pipelines and cloud‑based solutions on AWS to support AI/ML workflows. 3. Develop and deploy Generative AI applications (e.g., using OpenAI, Google Gemini) in production environments. 4. Apply statistical and data‑mining techniques such as regression, decision trees, boosting, bagging, and time‑series analysis to solve business problems. 5. Collaborate with cross‑functional teams to translate business requirements into technical specifications. 6. Conduct data quality assessments, data profiling and ensure robust data governance. 7. Create visualisations and dashboards to communicate insights to stakeholders. 8. Participate in code reviews, documentation, and knowledge‑sharing sessions. 9. Stay updated with emerging technologies in AI, cloud computing and data engineering. 10. Support client presentations and workshops, articulating analytical findings in a clear, business‑focused manner. Tech Stack: Python, R, SQL, AWS (S3, Lambda, Glue, SageMaker), Docker, Kubernetes, Spark, Hadoop, Git, Tableau/PowerBI, OpenAI API, Google Gemini, Pandas, Scikit‑learn, TensorFlow/PyTorch. Growth Path: Starting as an Associate, high performers can progress to Senior Associate, Manager, Senior Manager and eventually to Director/Partner within the Advisory practice. PwC invests heavily in continuous learning – you will have access to internal training platforms, certifications (AWS, GCP, Azure, Data Science), and mentorship programs that accelerate career growth. Why Join PwC? You will be part of a global network that values diversity, inclusion and innovation. The firm offers competitive compensation, flexible work arrangements, comprehensive health and wellness benefits, and a vibrant community that encourages mentorship and knowledge sharing. Working at PwC gives you exposure to marquee clients across industries, enabling you to build a robust skill set and a distinguished professional brand.