Data Science - Retail Analytics- Manager
Bengaluru (SDC) - Eagle Ridge at Embassy Golf Links Business Park
PwC
We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob Description & Summary
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights.
Years of Experience: Candidates with 8+ years of hands on experience
Must Have:
In-depth knowledge of the retail sector, including understanding consumer behavior, market trends, supply chain dynamics, and the unique challenges faced by retail businesses
Knowledge of retail analytics, including category management, shelf optimization, and sales performance analysis
Experience in developing demand forecasting models, optimizing inventory management strategies
Hands-on experience in the machine learning domains such as Regression, Classification, Unsupervised ML, Ensembles & Deep Learning
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 and Python/Pyspark to guide teams
Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc.
Ability to mentor and guide junior team members and act as an SME for all modeling and analytics deliverables
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)
Experience with model explainability and interpretability techniques
Multi-task and manage multiple deadlines. Responsible for incorporating client/user feedback into the Product
Ability to think through complex user scenarios and design simple yet effective user interactions
Good Communication and presentation skills
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
Desired Languages (If blank, desired languages not specified)
Travel Requirements
0%Available for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Azure Business Intelligence Classification Data analysis Data Analytics Data management Deep Learning GCP Kubernetes Machine Learning ML models Power BI PySpark Python PyTorch QuickSight SageMaker Scikit-learn SQL Statistics Tableau TensorFlow Vertex AI
Perks/benefits: Career development
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