Supply Chain - Data Scientist GCP-Senior Associate
Supply Chain - Data Scientist GCP-Senior Associate
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob 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:
Proven expertise in supply chain analytics across domains such as demand forecasting inventory optimization logistics segmentation and network design
- 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
- Proficiency in forecasting techniques (e.g. HoltWinters ARIMA ARIMAX SARIMA SARIMAX FBProphet NBeats) and machine learning techniques (supervised and unsupervised)
Strong command of statistical modeling testing and inference
Proficient in using GCP tools: BigQuery Vertex AI Dataflow Looker
Building data pipelines and models for forecasting optimization and scenario planning
Strong SQL and Python programming skills; experience deploying models in GCP environment
Knowledge of orchestration tools like Cloud Composer (Airflow)
Nice to have:
Familiarity with MLOps containerization (Docker Kubernetes) and orchestration tools (e.g. Cloud composer)
Strong communication and stakeholder engagement skills at the executive level
Roles and Responsibilities:
Assist analytics projects within the supply chain domain driving design development and delivery of data science solutions
Develop and execute on project & analysis plans under the guidance of Project Manager
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 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
0Available for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
