CPG - Data Scientist - Manager

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
  
  

Position: Manager

Industry: CPG & Retail

Domain: Range of Analytics (Descriptive to Advanced) depending on the client problem

About Acceleration Center Bangalore

At PwC, we connect people with diverse backgrounds and skill sets to solve important problems together and lead with purpose—for our clients, our communities and for the world at large. It is no surprise therefore that 429 of 500 Fortune global companies engage with PwC. Acceleration Centers (ACs) are PwC’s diverse, global talent hubs focused on enabling growth for the organization and value creation for our clients. The PwC Advisory Acceleration Center in Bangalore is part of our Advisory business in the US. The team is focused on developing a broader portfolio with solutions for Risk Consulting, Management Consulting, Technology Consulting, Strategy Consulting, Forensics as well as vertical specific solutions. PwC's high-performance culture is based on passion for excellence with a focus on diversity and inclusion. You will collaborate with and receive support from a network of people to achieve your goals. We will also provide you with global leadership development frameworks and the latest in digital technologies to learn and excel in your career. At the core of our firm's philosophy is a simple construct: We care for our people. Globally PwC is ranked the 3rd most attractive employer according to Universum. Our commitment to Responsible Business Leadership, Diversity & Inclusion, work-life flexibility, career coaching and learning & development makes our firm one of the best places to work, learn and excel.

We are looking for experienced professionals with a strong data science background (and overall data science experience of 7+ years) to work as a Manager in our Analytics Consulting practice in Mumbai and Bangalore.

Managers will lead end-to-end CPG & Retail analytics engagements, build data science solutions aligned to business needs, and serve as key liaisons between offshore teams and onshore clients.

Education: Advanced degree in a quantitative field such as Computer Science, Engineering, Statistics, Econometrics, Operations Research, or Information Sciences (Business Analytics, Informatics).

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

Must-Have (Manager - 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.
• Proven skill in leading diverse teams (business, technical, vendors) with clear RACI definitions, psychological safety, and performance-tracking rituals (daily stand-ups, retros, OKRs).
• Deep understanding of predictive modeling for purchase propensity, demand forecasting, promotion uplift, assortment, and customer lifetime value in omnichannel retail environments.
• Experience working with CPG & Retail clients or data platforms (e.g., SAP CAR, Oracle Retail, Blue Yonder, Snowflake, Databricks, Shopify, Amazon Selling Partner API).
• Proficiency in machine learning techniques—classification, 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).
• Exposure to big data & real-time analytics stacks used in retail (Spark, Kafka, Delta Lake, Snowflake Streaming, Google Vertex AI).
• Track record delivering analytics use cases across the CPG & Retail value chain: demand sensing, inventory & replenishment optimization, assortment & space planning, dynamic pricing, fraud/shrink detection, and last-mile logistics analytics.
• 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)
• Adoption of fit-for-purpose delivery frameworks (waterfall, Scrum, SAFe, PRINCE2) plus in-flight quality gates, peer reviews, and test-driven validation to ensure outputs meet acceptance criteria.
  
  

Roles and Responsibilities

• Lead and manage analytics projects within the CPG & Retail domain, driving design, development, and delivery of data science solutions
• Work closely with US-based clients and consultants to understand CPG & Retail specific use cases and define analytical approaches
• Translate business problems into data-driven solutions, and ensure alignment with KPIs and expected outcomes
• Review and manage data quality, model robustness, and explainability for CPG & Retail specific deployments
• Present insights and analytical recommendations to internal stakeholders and client leadership teams
• Mentor and upskill junior team members while fostering a culture of collaboration and continuous learning
• Support practice development activities including IP creation, proposal support, and client engagement planning