SR. BUSINESS ANALYST (ANALYTICS)

QatarEnergy; Doha; On-site; QAR 300,000 - 450,000; Full time

Job summary

QatarEnergy seeks a seasoned AI/BI Engineer to design and deploy scalable AI/ML solutions that support informed decision-making across the organization.

You will build AI-powered applications, especially LLM-based, develop interactive dashboards, and integrate LLMs into BI platforms and predictive models to enhance business insights and user experience.

Qualifications

• 8+ years in Data Science, AI or related roles; Oil & Gas experience is a plus.
• Experience building AI solutions on cloud platforms (Azure, AWS, GCP) and tools like AI Foundry, Copilot Studio, Vertex AI Studio, Databricks Mosaic AI.
• Design and deploy AI/ML models and LLM-powered apps to support business use cases and decision-making.
• Integrate AI/ML models and LLMs into BI platforms for natural language querying, automated insights, and conversational analytics.
• Ensure model governance, explainability, data lineage, access controls and ethical AI practices.
• Strong Python/SQL skills and familiarity with ML frameworks and CI/CD for ML workflows.

Responsibilities

• Design and deploy scalable AI/ML solutions across the organization.
• Develop interactive dashboards and BI integrations for real-time insights.
• Integrate LLMs into BI platforms to enable natural language queries and conversational analytics.
• Collaborate with stakeholders to translate business needs into ML-enabled decision support.

Skills

Python

SQL

AI/ML frameworks

LLMs

Data Visualization

Education

Bachelor's degree in CS/Data Science

Master's degree preferred (AI/ML focus)

Tools

Hugging Face

LangChain

TensorFlow

PyTorch

Databricks

Kubernetes

Docker

Job description

Primary Purpose Of The Job

We are seeking a highly skilled AI/BI Engineer with a strong background in machine learning, AI, and business intelligence. The ideal candidate will be responsible for designing and deploying scalable AI and ML solutions that supports informed decision-making across the organization.

Primary Purpose Of The Job

We are seeking a highly skilled AI/BI Engineer with a strong background in machine learning, AI, and business intelligence. The ideal candidate will be responsible for designing and deploying scalable AI and ML solutions that supports informed decision-making across the organization.

You will build and integrate AI-powered applications, particularly those leveraging large language models (LLMs), developing interactive dashboards, integrating LLMs into BI platforms and predictive models to enhance business insights and improve user experience.

Required Experience And Skills

• Minimum 8 years of experience in Data Science, AI Engineering, advanced analytics, or related roles; Oil and Gas industry experience is a plus.


• Experience in developing AI solutions using cloud platforms such as Microsoft Azure, AWS, or GCP, and tools like AI Foundry, Copilot Studio, Vertex AI Studio, and Databricks Mosaic AI.


• Design and deploy AI/ML models and LLM-powered applications to support business use cases and enhance decision-making.


• Integrate AI/ML models and LLM capabilities into BI platforms to enable natural language querying, automated insights, and conversational analytics.


• Evaluate and optimize LLM-generated responses to ensure accuracy and relevance.


• Deep understanding of AI/ML algorithms, LLMs, and modern AI architectures.


• Proficiency in Python, SQL and AI/ML frameworks such as Hugging Face, LangChain, scikit-learn, TensorFlow, PyTorch and Semantic Kernel etc.


• Develop compelling data visualizations and dashboards to support storytelling and real-time insights.


• Ensure compliance with data governance, model explainability, and ethical AI practices, including data lineage, access control, and sensitivity labeling.


• Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML workflows.


• Excellent communication skills, with an ability to effectively interact with business stakeholders and articulate complex technical concepts in a clear and understandable manner.

Educational Qualifications

A bachelor’s degree in computer science, Data Science, Artificial Intelligence, or a related field.

Master’s degree preferred, especially with a focus on AI or Machine Learning