Supply Chain - Data Scientist Palantir Foundry-Senior Associate

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data Analytics & AI

Management Level

Senior Associate

Job Description & Summary

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 datadriven decisionmaking. You will leverage skills in data manipulation visualisation and statistical modelling to support clients in solving complex business problems.

Years of Experience: Candidates with 4 years of hands on experience

Position: Senior Associate

Required Skills: Successful candidates will have demonstrated the following skills and characteristics:

Must Have:

• Deep experience in supply chain analytics (demand forecasting inventory optimization)

• 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.

• Handson 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 crossfunctional teams for reliable insights.

• Well versed and handson 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 (HoltWinters 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 scikitlearn mlr caret H2O TensorFlow PyTorch MLlib

• Advanced programming skills in Python PySpark and SQL

• Knowledge of supply chain KPIs planning systems and optimization models

• Strong programming experience in SQL Python with Foundry APIs

• Experience integrating analytics models into enterprise workflows

• Work closely with business stakeholders and data engineers to model complex supply chain processes using Foundrys Ontology framework

• Develop scalable pipelines and workflows in Foundry to support realtime decisionmaking

• Collaborate with crossfunctional teams to build userfriendly applications using Foundry tools like Code Workbooks and Action Sets

• Ensure data quality governance and compliance within Foundrys integrated environment

• Coach junior team members on best practices for Palantir Foundry implementations

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:

• Lead the development and deployment of supply chain analytics use cases within the Palantir Foundry platform
• Work closely with business stakeholders and data engineers to model complex supply chain processes using Foundrys Ontology framework
• Develop scalable pipelines and workflows in Foundry to support realtime decisionmaking
• Develop and execute on project & analysis plans under the guidance of Project Manager
• Implementation of data science solutions within Palantir Foundry integrating ML models and building reusable pipelines and applications
• Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used datasets to be acquired data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved
• Drive and Conduct analysis using advanced analytics tools and coach the junior team members
• Implement necessary quality control measures in place to ensure the deliverable integrity like data quality model robustness and explainability for deployments.
• Validate analysis outcomes recommendations with all stakeholders including the client team
• Build storylines and make presentations to the client team and/or PwC project leadership team
• Contribute to the knowledge and firm building activities

Professional and Educational Background:

BE / / MCA / / M.E / /Masters Degree /MBA from reputed institute

Education (if blank degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank certifications not specified)

Required Skills

Optional Skills

Accepting Feedback Accepting Feedback Active Listening Algorithm Development Alteryx (Automation Platform) Analytical Thinking Analytic Research Big Data Business Data Analytics Communication Complex Data Analysis Conducting Research Creativity Customer Analysis Customer Needs Analysis Dashboard Creation Data Analysis Data Analysis Software Data Collection DataDriven Insights Data Integration Data Integrity Data Mining Data Modeling Data Pipeline 38 more

Desired Languages (If blank desired languages not specified)

Travel Requirements

0

Available for Work Visa Sponsorship

No

Government Clearance Required

No

Job Posting End Date