About the role
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Years of Experience: Candidates with 8+ years of hands on experience
Position: Manager
Required Skills: Successful candidates will have demonstrated the following skills and characteristics:
Must Have:
Hands-on experience in supply chain analytics, including demand planning, forecasting, inventory optimization, logistics, segmentation, and network design
Expertise in using Palantir Foundry for building data science models, performing data integration and analysis to enhance supply chain decisions, including pipeline development for complex models.
Hands-on experience with Palantir Foundry including building pipelines, ontology development, application building, and operationalizing data science models
Skilled in implementing data governance and security best practices within Palantir Foundry with cross-functional teams for reliable insights.
Well versed and hands-on experience of working on optimization methods like linear programming, mixed integer programming, scheduling optimization. Having understanding of working on third party optimization solvers like Gurobi will be an added advantage
Deep understanding of forecasting methodologies (Holt-Winters, ARIMA, SARIMA, ARIMAX, SARIMAX, FBProphet, NNets, NBeats) and machine learning models (supervised and unsupervised)
Strong knowledge of statistics including statistical tests, distributions, and hypothesis testing
Solid experience in data preparation, transformation, and feature engineering
Proficiency in machine learning libraries such as scikit-learn, mlr, caret, H2O, TensorFlow, PyTorch, MLlib
Advanced programming skills in Python, PySpark, and SQL
Strong working knowledge of data visualization tools such as Power BI, Tableau, AWS QuickSight
Nice to have:
Experience in building and deploying models on cloud platforms (Azure ML, GCP Vertex AI, AWS SageMaker)
Familiarity with containerization and orchestration (e.g., Docker, Kubernetes, Airflow)
Excellent communication, presentation, and client management skills
Roles and Responsibilities:
Own and lead end-to-end analytics project execution: from requirement gathering and scoping to delivery and measurement of business impact
Work closely with clients and PwC US consultants as a subject matter expert, translating supply chain challenges into scalable analytical solutions
Design and guide implementation of data science solutions within Palantir Foundry, integrating ML models and building reusable pipelines and applications
Ensure data governance, quality assurance, and documentation across all stages of delivery
Create executive-level storylines and visualizations, communicating data-driven recommendations effectively
Develop and manage client relationships, aligning stakeholder needs with deliverables and timelines
Mentor junior resources and foster a culture of continuous learning and technical excellence
Drive practice-building initiatives such as internal trainings, proposal development, and IP creation
Professional and Educational Background:
BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master's Degree /MBA from reputed institute
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