Data Engineer

IntroductionA career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.Your role and responsibilitiesKey Job Responsibilities Include:

• Develop advanced statistical, predictive, and machine learning models to optimize telecom operations, forecasting accuracy, customer experience, and cost efficiency
• Analyze large, complex datasets from multiple sources (ACD, CRM, WFM, digital channels, quality systems, customer journeys) to identify operational insights
• Build automated models for volume forecasting, agent performance prediction, customer behavior modeling, and anomaly detection
• Work with business stakeholders to develop use cases that leverage AI/ML for operational improvements, automation, and transformation initiatives
• Design dashboards, automated reporting tools, and decision-support systems to empower leadership with real-time insights
• Partner with WFM, Operations, Quality, and Finance to interpret data signals and recommend actions
• Develop NLP and text analytics models for customer sentiment, quality evaluations, and digital channel optimization
• Lead data discovery, data cleaning, feature engineering, and validation steps across all analytics initiatives
• Conduct model performance testing, drift analysis, and continuous re-calibration
• Document methodologies, maintain model governance, and ensure compliance with IBM data, AI governance, and client security policies
• Support AI-enabled transformation initiatives and automation programs (RPA, chatbot analytics, predictive routing, etc.)
• Present complex analytical outcomes in clear, business-friendly languageRequired technical and professional expertiseRequired Skills and Behaviors:
• Strong understanding of machine learning techniques, statistical modeling, and data mining
• Proficiency in Python, R, SQL, and relevant machine learning libraries
• Familiarity with cloud platforms and MLOps tools (AWS, Azure, IBM Cloud, Databricks)
• Strong communication skills to break down complex analyses for leadership
• Deep understanding of call center operations, telecom datasets, and multi-channel data flows preferred
• Ability to manage multiple projects and deliver insights at pace Required Experience:
• 2-4 years of applied data science experience, preferably in telecom, BPO, or customer operations
• Experience working with large datasets and production-level ML models
• Prior experience integrating models into operational workflows highly desirable Required Education:
• Bachelor’s Degree required Preferred:
• Master’s or PhD in Data Science, Machine Learning, Statistics, Computer Science, or related fieldsPreferred technical and professional experience Preferred:
• Master’s or PhD in Data Science, Machine Learning, Statistics, Computer Science, or related fields IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.