Director - CPG And Retail Analytics

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

Years of Experience: Candidates with 15+ years of hands on experience

Required Skills

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 technicality used for retail analytics across loyalty, customer analytics, assortment, promotion and marketing
• 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 and Python/Pyspark to guide teams
• Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc.
  
  

• 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
  
  

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA