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

Round 1: Online aptitude & logical reasoning test → Round 2: Technical interview focusing on Python, ML concepts and AWS fundamentals → Round 3: HR interview assessing cultural fit, communication and career aspirations

PwC promotes a collaborative, inclusive environment where learning is encouraged through formal training and on‑the‑job mentorship. Employees benefit from clear career progression, flexible work options and a strong emphasis on work‑life balance, supported by wellness initiatives and employee resource groups.

PwC’s interview process typically starts with a timed online aptitude test, followed by a technical interview that probes your knowledge of Python, machine‑learning algorithms and cloud services. The final HR round evaluates cultural fit, communication skills and motivation. Candidates report a moderate difficulty level and appreciate the clear structure and feedback provided.

Graduates with BE/B.Tech/M.Tech in Computer Science, Information Technology, Electronics, Electrical, or related engineering disciplines. Minimum 60% aggregate (or CGPA 6.5/10). No active backlogs at the time of joining. Freshers and candidates with up to 2 years of relevant experience are eligible. Must be able to work from Kolkata office.

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 a strong presence with offices in major metros, delivering cutting‑edge solutions to Fortune 500 companies, government bodies and fast‑growing startups. The firm is known for its commitment to building trust, fostering inclusive cultures and driving digital transformation through data‑centric strategies. As a fresher‑friendly employer, PwC invests heavily in learning platforms, mentorship programmes and global mobility, enabling early‑career talent to grow into future leaders. The role of Associate – Data Science & Engineering – Data & Analytics (Advisory) in the Kolkata office is positioned within PwC’s Advisory line of service. You will be part of a high‑performing analytics team that helps clients turn raw data into actionable insights. The team works on end‑to‑end data pipelines, builds predictive models, and designs AI‑driven solutions that improve operational efficiency and strategic decision‑making. As an associate, you will get exposure to real‑world business problems across sectors such as banking, manufacturing, retail and public services, while leveraging the latest cloud and generative AI technologies. **Key Responsibilities** 1. Design, develop and validate machine‑learning and deep‑learning algorithms using Python, R and statistical libraries. 2. Build scalable data pipelines on AWS (S3, Glue, Lambda, Redshift, EMR) to ingest, transform and store large‑volume datasets. 3. Implement generative AI solutions (OpenAI, Google Gemini) and integrate them into client‑facing applications. 4. Conduct exploratory data analysis, feature engineering and model performance monitoring. 5. Collaborate with business analysts to translate client requirements into technical specifications. 6. Prepare visual dashboards and data‑storytelling artefacts using tools like Power BI or Tableau. 7. Ensure data quality, governance and security compliance throughout the analytics lifecycle. 8. Participate in code reviews, documentation and knowledge‑sharing sessions within the team. 9. Stay updated with emerging AI/ML trends and propose innovative use‑cases for clients. 10. Support senior consultants in client presentations and proposal development. **Tech Stack**: Python, R, SQL, AWS services (S3, Glue, Lambda, Redshift, SageMaker), Spark, Docker, Git, OpenAI API, Google Gemini, Power BI/Tableau, Linux. **Growth Path**: Starting as an Associate, high performers can progress to Senior Associate, Manager, Senior Manager and eventually to Director/Partner roles within the Advisory practice. PwC provides structured learning pathways, certifications (AWS, Azure, Google Cloud, TensorFlow) and rotational opportunities across industry verticals. **Why Join PwC**: You will work alongside seasoned data scientists and consultants on projects that have tangible business impact. The firm’s emphasis on continuous learning, inclusive culture and global network ensures you gain both technical depth and consulting acumen. Competitive compensation, performance‑linked bonuses, flexible work arrangements and robust employee wellbeing programmes make PwC an attractive launchpad for a data‑analytics career.