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 eg: data cleansing, standardization and data preparation for the machine learning use cases
Experience in machine learning frameworks and tools (For eg scikit-learn, mlr, caret, H2O, TensorFlow,, Pytorch, MLlib)
Advanced level programming in SQL and Python/Pyspark to guide teams
Expertise with visualization tools For eg: 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 ( eg AWS EKS, Kubernetes), Dockers and data pipeline orchestration (eg 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
Job Classification
Industry: Accounting / Auditing Functional Area: Accounting / Auditing Role Category: Data Science & Machine Learning Role: Data Science & Machine Learning - Other Employement Type: Full time
Contact Details:
Company: PwC Service Delivery Location(s): Hyderabad