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PwC Acceleration Center India
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Director - CPG & Retail Analytics

Director - CPG & Retail Analytics

PwC Acceleration Center India

15 - 19 years

0 Lacs

karnataka

Posted:1 day ago| Platform: Shine logo

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Skills Required

classifiers cluster analysis retail analytics loyalty analytics customer analytics marketing analytics statistics data analysis data cleansing tableau containerization kubernetes airflow communication skills presentation skills supervised machine learning algorithms unsupervised machine learning algorithms linear regressions bayesian regressions multi objective optimization techniques dimension reduction assortment analytics promotion analytics data standardization machine learning frameworks scikitlearn mlr caret h2o tensorflow pytorch mllib sql programming python programming pyspark programming visualization tools powerbi aws quicksight aws eks dockers data pipeline orchestration model explainability techniques interpretability techniques multitasking user feedback incorporation user s

Work Mode

On-site

Job Type

Full Time

Job Description

At PwC, the focus in data and analytics engineering revolves around leveraging advanced technologies and techniques to design and develop robust data solutions for clients. This critical role involves transforming raw data into actionable insights, facilitating informed decision-making, and fueling business growth. Individuals specializing in artificial intelligence and machine learning at PwC are dedicated to developing and implementing advanced AI and ML solutions that drive innovation and enhance business processes. Your responsibilities will include designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation. Candidates with a minimum of 15 years of hands-on experience are preferred for this role. **Required Skills:** **Must Have:** - Demonstrated expertise in supervised and unsupervised machine learning algorithms, including but not limited to linear regressions, Bayesian regressions, multi-objective optimization techniques, classifiers, cluster analysis, and dimension reduction. - Understanding of technical aspects related to retail analytics across loyalty, customer analytics, assortment, promotion, and marketing. - Proficiency in statistics, including statistical tests and distributions. - Experience in data analysis, encompassing data cleansing, standardization, and data preparation for machine learning use cases. - Familiarity with machine learning frameworks and tools such as scikit-learn, mlr, caret, H2O, TensorFlow, PyTorch, and MLlib. - Advanced programming skills in SQL and Python/Pyspark to provide guidance to teams. - Proficiency with visualization tools like Tableau, PowerBI, and AWS QuickSight. **Nice To Have:** - Working knowledge of containerization (e.g., AWS EKS, Kubernetes), Dockers, and data pipeline orchestration (e.g., Airflow). - Experience with model explainability and interpretability techniques. - Ability to multitask and manage multiple deadlines, incorporating client/user feedback into product development. - Capability to analyze complex user scenarios and design simple yet effective user interactions. - Strong communication and presentation skills. **Educational Background:** - BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA,

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Director - CPG & Retail Analytics