Data Scientist

Required Skills: Successful candidates will have demonstrated the following skills and characteristics -

Must-Have (Senior Associate - CPG & Retail Analytics)

• Hands-on experience with CPG & Retail data assets such as point-of-sale (POS) transactions, loyalty-program histories, syndicated panel data (NielsenIQ, Circana/IRI, Kantar), e-commerce clickstream, and supply-chain sensors/IoT.
• Deep understanding of predictive modeling for purchase propensity, demand forecasting, promotion uplift, assortment, and customer lifetime value in omnichannel retail environments.
• Proficiency in machine learning techniquesclassification, regression, clustering, recommendation engines, and advanced time-series forecasting applied to sales and inventory data.
• Strong command of statistical methods including A/B & multivariate testing, price-elasticity modeling, market-basket analysis, segmentation, and causal-impact evaluation.
• Expert programming in Python or R, plus SQL with retail-specific data-wrangling libraries (pandas, dbt) across cloud warehouses (BigQuery, Redshift, Synapse).
• Hands on BI fluency in developing interactive visualizations in Power BI, Tableau, or Looker that turn SKU-level data into actionable stories for category, trade-marketing, and supply-chain teams.
• Exposure to big data & real-time analytics stacks used in retail (Spark, Kafka, Delta Lake, Snowflake Streaming, Google Vertex AI).
• Ability to translate insights for merchandising, marketing, supply-chain, and store-operations stakeholders—communicating clearly with both technical data teams and business leaders.

Nice to have

• Exposure to ML engineering (Azure ML, AWS SageMaker, GCP Vertex AI)
• Experience blending retail-media impression/click logs with sales to calculate ROAS and incrementality, or to build MMM-lite dashboards for brand teams.

Roles and Responsibilities

• Assist analytics projects within the CPG & Retail domain, driving design, development, and delivery of data science solutions
• Develop and 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
• Drive and Conduct analysis using advanced analytics tools and coach the junior team members
• Implement necessary quality control measures in place to ensure the deliverable integrity like data quality, model robustness, and explainability for deployments.
• 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 knowledge and firm building activitiesRole & responsibilities

Preferred candidate profile