Senior Data Scientist

Responsibilities

• Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities
• Translate business requirements into scalable data science and machine learning solutions
• Build predictive models, machine learning solutions, and GenAI applications
• Design robust data pipelines and analytical workflows
• Apply data processing, feature engineering, and statistical modelling techniques
• Ensure solutions are scalable, production-ready, and aligned with MLOps best practices
• Present analytical findings and recommendations to technical and executive stakeholders
• Mentor junior team members and support technical delivery

Requirements

• Master's degree in Data Science, Computer Science, AI, Mathematics, or related field
• 5+ years of hands-on experience delivering data science or machine learning solutions
• Strong Python programming skills and experience with modern data science libraries
• Experience building predictive models and GenAI applications
• Strong understanding of statistics, data modelling, and feature engineering
• Experience designing scalable data pipelines and production-ready AI solutions
• Familiarity with MLOps and machine learning lifecycle management
• Excellent stakeholder management and communication skills

Preferred Qualifications

• Experience in Telecommunications or customer-centric industries
• Experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
• Proficiency with cloud platforms (Azure, AWS, or Google Cloud)
• Experience with Databricks, Spark, or distributed data processing
• Knowledge of Docker, Kubernetes, or CI/CD pipelines