Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Associate
Job Description & Summary
At PwC,experienced Associates will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams.
Years of Experience: Candidates with 2+ years of hands on experience
Industry: CPG/Retail, Last Mile Delivery/ Logistics, Telecommunications-Media-Technology (TMT)
Position Requirements:
Must Have:
Solid knowledge and experience of supervised, unsupervised machine learning algorithms. For e.g (but not limited to) : linear regressions, bayesian regressions, multi objective optimization techniques, classifiers, cluster analysis, dimension reduction etc.
Understanding of techniques like Market Mix Modelling, Price Elasticity models, Sales Promo Uplift Modelling, Vehicle Route Optimization
Good knowledge of statistics For e.g : statistical tests & distributions
Experience in Data analysis For e.g : data cleansing, standardization and data preparation for the machine learning use cases
Experience in machine learning frameworks and tools ( For e.g . scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib)
Advanced level programming in SQL or Python/Pyspark
Expertise with visualization tools For e.g : Tableau, PowerBI, AWS QuickSight etc.
Nice to have:
Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCP’s Vertex AI platform, AWS SageMaker)
Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow)
Good Communication and presentation skills
Roles and Responsibilities:
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
Conduct analysis using advanced analytics tools and coach the junior team members
Implement necessary quality control measures in place to ensure the deliverable integrity
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 the knowledge and firm building activities
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
Bayesian Networks, Market Mix Modeling (MMM)
Optional Skills
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date
br{display:none;}.css-58vpdc ul > li{margin-left:0;}.css-58vpdc li{padding:0;}]]> Opening For Data EntryComputer Operator Back Office The position is remote working from home o...
Apply For This JobAbout noon noon, the region’s leading consumer commerce platform. On December 12th, 2017, noon launched its consumer platform in Saudi...
Apply For This JobResponsibilities Develop and implement comprehensive fire safety and emergency response plans for the Thermal Power Generation plant Conduct regular fire...
Apply For This Jobbr{display:none;}.css-58vpdc ul > li{margin-left:0;}.css-58vpdc li{padding:0;}]]> Are you ready to make an impact on the world? PreScouter helps the world’s top...
Apply For This JobVOLTAR ÀS VAGAS Efetiva Recepcionista Cód.: 4789 Atividades Atendimento ao cliente, presencial e por telefone. Dar senhas e direcionar os...
Apply For This JobNazwa jednostki organizacyjnej ZUS Oddział w Chorzowie Nazwa komórki organizacyjnej Wydział Organizacji i Analiz Miejsce pracy ZUS Oddział w Chorzowie...
Apply For This Job
“`
Search qualified candidates by skills, location, experience, education, and more.
“`