Telecom- 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.

Years of Experience: Candidates with 12+ years of hands on experience

Position: Senior Manager

Industry: Telecom / Network Analytics / Customer Analytics

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

Must Have

• Extensive experience applying data science in the telecommunications industry, across domains like customer churn, ARPU analysis, pricing, network performance, and service optimization
• Proficiency in supervised and unsupervised ML techniques, including classification, regression, clustering, and time-series forecasting
• Expertise in statistical modeling (e.g., survival analysis, logistic regression, multivariate analysis)
• Strong coding and data manipulation skills in Python, PySpark, and SQL
• Experience building scalable machine learning models using libraries like scikit-learn, XGBoost, TensorFlow, PyTorch
• Familiarity with data sources and KPIs common in Telco, such as CDRs, usage metrics, and quality of service indicators
• Experience with data pipelines and engineering workflows for structured and unstructured telecom data
• Proficiency in data visualization using tools like Power BI, Tableau, Looker
  
  

Nice To Have

• Exposure to cloud-based ML platforms (Azure ML, GCP Vertex AI, AWS SageMaker)
• Experience with network analytics, anomaly detection, or real-time streaming data
• Familiarity with telecom OSS/BSS systems, customer segmentation frameworks, or revenue assurance analytics
• Strong stakeholder management and experience interfacing with business, marketing, and network operations teams
  
  

Roles And Responsibilities

• Lead data science projects within the telecom 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 telecom 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 telecom 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 telecom domain knowledge and technical growth
• Contribute to practice growth through thought leadership, IP development, and support for business development activities
  
  

Professional And Educational Background

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