drjobs Telecom- Data Scientist-Senior Manager

Telecom- Data Scientist-Senior Manager

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1 Vacancy
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Job Location drjobs

Bengaluru - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data Analytics & AI

Management Level

Senior Manager

Job Description & Summary

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 datadriven decisionmaking. 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 timeseries 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 scikitlearn 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 cloudbased ML platforms (Azure ML GCP Vertex AI AWS SageMaker)

  • Experience with network analytics anomaly detection or realtime 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 datadriven 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 nontechnical stakeholders translating models into actionable business strategies

  • Oversee quality compliance and governance across all phases of model development and deployment

  • Build and mentor highperforming 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 / / MCA / / M.E / /Masters Degree /MBA from reputed institute

Education (if blank degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank certifications not specified)

Required Skills

Optional Skills

Accepting Feedback Accepting Feedback Active Listening Algorithm Development Alteryx (Automation Platform) Analytical Thinking Analytic Research Big Data Business Data Analytics Coaching and Feedback Communication Complex Data Analysis Conducting Research Creativity Customer Analysis Customer Needs Analysis Dashboard Creation Data Analysis Data Analysis Software Data Collection DataDriven Insights Data Integration Data Integrity Data Mining Data Modeling 46 more

Desired Languages (If blank desired languages not specified)

Travel Requirements

0

Available for Work Visa Sponsorship

No

Government Clearance Required

No

Job Posting End Date


Required Experience:

Senior Manager

Employment Type

Full-Time

Company Industry

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