CPG - Data Scientist - Senior Associate

Overview

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.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Skills

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

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• 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.
  
  

Candidates with 4+ years of hands on experience

Position: Senior Associate

Industry: Telecom / Network Analytics / Customer Analytics

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

Must Have

• Proven experience with telco data including call detail records (CDRs), customer churn models, and network analytics
• Deep understanding of predictive modeling for customer lifetime value and usage behavior
• Experience working with telco clients or telco data platforms (like Amdocs, Ericsson, Nokia, AT&T etc)
• Proficiency in machine learning techniques, including classification, regression, clustering, and time-series forecasting
• Strong command of statistical techniques (e.g., logistic regression, hypothesis testing, segmentation models)
• Strong programming in Python or R, and SQL with telco-focused data wrangling
• Exposure to big data technologies used in telco environments (e.g., Hadoop, Spark)
• Experience working in the telecom industry across domains such as customer churn prediction, ARPU modeling, pricing optimization, and network performance analytics
• Strong communication skills to interface with technical and business teams
  
  

• Exposure to cloud platforms (Azure ML, AWS SageMaker, GCP Vertex AI)
• Experience working with telecom OSS/BSS systems or customer segmentation tools
• Familiarity with network performance analytics, anomaly detection, or real-time data processing
• Strong client communication and presentation skills
  
  

• Assist analytics projects within the telecom 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 activities
  
  

BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA from reputed institute