Associate Data Science & Engineering - Data & Analytics Advisory

PricewaterhouseCoopers (PwC) is one of the world’s leading professional services networks, offering audit, tax, consulting and advisory services to Fortune‑500 companies, governments and NGOs. In India, PwC has a strong presence across major metros, fostering a culture of trust, collaboration and continuous learning. The firm invests heavily in technology and innovation, helping clients navigate digital transformation, regulatory changes and complex business challenges.

As a fresher‑friendly employer, PwC provides structured onboarding, mentorship programmes and clear career ladders that enable young talent to grow into senior advisory roles.

The role of Associate – Data Science & Engineering in the Data & Analytics Advisory practice is designed for recent engineering graduates who are passionate about turning raw data into actionable insights. You will work alongside seasoned data scientists, consultants and industry experts to design, develop and operationalise analytical solutions for clients across sectors such as banking, retail, manufacturing and public services. The position offers exposure to end‑to‑end data pipelines, cloud platforms and cutting‑edge generative AI models, making it an ideal launchpad for a career in data‑driven consulting.

Key Responsibilities

• Design and implement machine‑learning and deep‑learning algorithms using Python, R and related libraries.
• Build scalable data pipelines and ETL workflows on AWS services (S3, Glue, Lambda, Redshift, etc.).
• Develop and deploy generative AI applications (e.g., using OpenAI or Google Gemini) within client solutions.
• Conduct statistical analysis, hypothesis testing and model validation to ensure robustness.
• Collaborate with business analysts to translate client requirements into technical specifications.
• Prepare data visualisations and dashboards that communicate insights to non‑technical stakeholders.
• Maintain data quality, governance and documentation throughout the project lifecycle.
• Stay updated with emerging AI/ML techniques and recommend innovative approaches to improve client outcomes.
• Participate in code reviews, peer learning sessions and knowledge‑sharing forums.
• Support the delivery team in client presentations and solution demos.

Tech Stack: Python, R, SQL, AWS (S3, EC2, Lambda, SageMaker), Spark/Flink, Docker, Git, Tableau/PowerBI, OpenAI API, Google Gemini, statistical packages (statsmodels, scikit‑learn).

Growth Path: Starting as an Associate, you can progress to Senior Associate, Manager, Senior Manager and eventually to Director/Partner within the Advisory line. PwC encourages continuous upskilling through internal certifications, external courses and on‑the‑job learning.

Why Join PwC? You will be part of a purpose‑driven firm that values diversity, inclusion and ethical leadership. The role offers hands‑on experience with real‑world data challenges, mentorship from industry veterans and a supportive environment that balances professional growth with personal wellbeing.

Competitive compensation, performance‑linked bonuses and a robust benefits package further enhance the employee experience.