Telecom- 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.

Years of Experience: Candidates with 8+ years of hands on experience

Position: Manager

Industry: Telecom / Network Analytics / Customer Analytics

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

Must Have

• Experience working in the telecom industry across domains such as customer churn prediction, ARPU modeling, pricing optimization, and network performance analytics
• Strong understanding of telecom KPIs and datasets, such as CDRs, service usage data, network QoS, and customer lifecycle metrics
• 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)
• Hands-on experience in Python, SQL, and PySpark for large-scale data handling and modeling
• Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, PyTorch
• Knowledge of data wrangling, feature engineering, and preparing telecom datasets for modeling
• Proficiency in data visualization tools such as Power BI, Tableau, or Looker
  
  

Nice To Have

• 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
  
  

Roles And Responsibilities

• Lead and manage analytics projects within the telecom domain, driving design, development, and delivery of data science solutions
• Work closely with US-based clients and consultants to understand telecom-specific use cases and define analytical approaches
• Guide teams in building and validating predictive models that address key business needs like churn, upsell, ARPU, and service quality
• 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 telecom-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
  
  

Professional And Educational Background

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