CPG - Data Scientist - Senior 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.

Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.

Skills

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

• Craft and convey clear, impactful and engaging messages that tell a holistic story.
• Apply systems thinking to identify underlying problems and/or opportunities.
• Validate outcomes with clients, share alternative perspectives, and act on client feedback.
• Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
• Deepen and evolve your expertise with a focus on staying relevant.
• Initiate open and honest coaching conversations at all levels.
• Make difficult decisions and take action to resolve issues hindering team effectiveness.
• Model 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: Senior 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 senior professionals with 10+ years of experience in data science and deep exposure to the CPG & Retail industry to join our Analytics Consulting practice in Mumbai or Bangalore.

Senior Managers will lead end-to-end analytics programs within the CPG & Retail domain, build high-impact models, and serve as strategic advisors to clients on leveraging data to drive business transformation.

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 (Senior Manager — CPG & Retail Analytics)

• Proficiency in crafting and steering multiyear analytics roadmaps that align with C-suite growth priorities (category expansion, margin-mix, omnichannel) and driving the business case and secures executive sponsorship, funding, and governance buy-in.
• Experience in managing concurrent analytics programs (demand sensing, personalization, supply-chain digitization), controlling scope, schedule, risks, and full financials while attaining target gross margins and client satisfaction scores.
• Proven skill in guiding reference architectures that span cloud data platforms, streaming pipelines (Kafka, Delta Live Tables), feature stores, MLOps, and BI activation, ensuring scalability, security, and cost-efficiency.
• Strong command of development & deployment of predictive, prescriptive, and GenAI solutions (e.g., assortment copilot, conversational shelf-analytics) with robust CI/CD, automated testing, and model-performance monitoring.
• Experience in managing alliances with independent software vendors, hyperscalers, and data providers (NielsenIQ, Circana, Google Cloud Retail) to accelerate solution delivery, co-innovate, and unlock joint marketing funds.
• Proven skill in recruiting, mentoring, and retaining multi-disciplinary teams (data engineers, scientists, product owners) and thus creating capability academies, career paths, and diversity initiatives; drives utilization and engagement scores.
• Strong command of leading enterprise-wide adoption programs—communications, training, KPI
  
  

tracking—to ensure analytics deliver measurable ROI (lift in sell-through, inventory turns, promo ROAS) and embed continuous-improvement loops.

• Experience in implementing delivery frameworks (Scaled Agile, PRINCE2, etc.) with rigorous quality gates, risk logs, and cyber-resilience measures; conducts executive read-outs and steering-committee governance.
• Experience in sponsoring accelerators, reusable components, and patents that differentiate offerings and create licensing or subscription revenue streams.
  
  

Nice to have

• Experience in leading multi-region programs that account for local trade promotions, tax regimes, and cultural buying patterns in North America, LATAM, EMEA, and APAC.
• Experience in optimizing on-site/in-app ad inventory, shopper marketing funds, and data-clean-room collaborations with CPG partners.
• Proven track record navigating GDPR, CCPA/CPRA, and retailer deduplication rules; designing compliant data-sharing agreements.
  
  

Roles and Responsibilities

• Lead data science projects within the CPG domain, from problem definition and data acquisition to model deployment and impact tracking
• Partner with client stakeholders to define KPIs, model use cases, and success metrics that align with strategic CPG & Retail objectives
• Translate complex business problems into data-driven solutions, and advise clients on customer analytics, churn prediction, pricing optimization, and network quality insights
• Guide teams in building advanced machine learning models tailored to CPG & Retail data structures and business logic
• Communicate technical concepts clearly to executives and non-technical stakeholders, translating models into actionable business strategies
• Oversee quality, compliance, and governance across all phases of model development and deployment
• Build and mentor high-performing teams, nurturing CPG & Retail domain knowledge and technical growth
• Contribute to practice growth through thought leadership, IP development, and support for business development activities