We are looking for a highly motivated and passionate candidate to Develop 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.

• Define creative solutions to business problems using advanced mathematical algorithms.

• Work with cross-functional teams to implement and deploy Data Science Models

• 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

• 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

To be shortlisted for this position, you will need to comply with all of the below requirements:

• Holds a bachelor’s degree in Computer Science, Data Science and AI, Engineering or any related field

• Preferred: 2 years of relevant experience.

We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or are deaf) and need us to make any adjustments, changes or do anything differently during the recruitment process, please let us know through the application form.

Workplace adjustments will be made on a case-by-case basis, but some (non-exhaustive) examples include:

• Providing extra time in assessments and interviews.

• Providing communication support such as a sign language interpreter during the interview.

• Providing interview questions in advance to the interview -this will only be considered as a reasonable accommodation for specific and verified individual requirements.

• Holding the interview/assessment in an accessible building.

• Holding interviews in different formats, such as over the phone or via a video call.