Data Scientist & AI Team Member Zain

We are looking for a highly motivated and passionate candidate to be part of the Data Analytics & AI department and be responsible of developing analytical, statistical, and Machine learning models and do a precise forecasting for recharges, revenues & cost using analytical and programming skills to collect, analyze, and interpret large data sets and create machine learning and data mining models that would solve difficult business/technical challenges in different departments and areas, while working closely with different departments, teams, cross functional teams and vendors to discover opportunities for any new enhancement or optimization that would support the decision making process at all levels.

Main Responsibilities will include but will not be limited to:

• Own the process of the developing Machine Learning models for the purpose of discovering, planning and prioritizing opportunities that would enhance decision-making process at all levels.
• Work with cross-functional teams to implement and deploy Data Science Models.
• Define creative solutions to business problems using advanced mathematical algorithms.
• Work with the BI and Data Platform teams to plan the ingestion of data sources required for development of new models and services.
• Build & deploy production scale models on large-scale datasets using machine learning (or) deep learning technologies.
• Continuously update status and results of models creation process along with opportunities, threats, and requirements for a sustainable model life cycle.
• Work with data science programming languages (Python, R).
• Create statistical algorithms, machine learning and deep learning models.
• Work with SQL queries, procedures, and functions.
• Create reports using Data Visualization Tools (i.e., Microsoft Excel, Microsoft Power BI, SAS VIYA, etc.).
• Work with all forms of data, including, but not limited to, voice, textual and tabular.
• Fine-tune and deploy Large Language Model (LLM) solutions, including AI agents and chatbots, using tools like LangChain or LlamaIndex.
• Integrate Generative AI into workflows using RAG pipelines, vector databases, and APIs to improve automation and decision-making.