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Orange

Global telecommunications provider delivering mobile services

Senior Consultant - Data and AI

Business IntelligencePosted on Nov 12
Full-timeGurugram, Haryana, IndiaNo salary listed

About the Job

Requirements

  • At least 8 years of experience in data, analytics, and AI.
  • Strong hands-on skills in Power BI, Microsoft Fabric, Python, Django, FastAPI, and ETL.
  • Practical experience with AI/ML, Generative AI, large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and agentic AI.
  • Strong knowledge of SQL, PostgreSQL, data modeling, and data warehousing.
  • Experience deploying or monitoring machine learning models.
  • Strong DevOps knowledge in GitHub, GitLab, GitLab CI/CD, Docker, Kubernetes, AWX, and Ansible.
  • Knowledge of IT infrastructure and cloud technologies.
  • Knowledge of Linux.
  • Fluent English speaking ability.
  • Relevant certifications in Power BI, Python, or AI/ML.

Responsibilities

  • Design and deliver data solutions, including Power BI, Microsoft Fabric, Python, SQL, ETL, AI/ML applications, Generative AI, and agentic AI.
  • Partner with business stakeholders to turn data into actionable insights and scalable solutions.
  • Identify business opportunities for AI/ML, including forecasting, classification, recommendation, anomaly detection, and process automation.
  • Prepare and explore data for modeling, including feature engineering and data quality checks.
  • Monitor model performance, accuracy, bias, and data drift, and recommend retraining or improvements.
  • Communicate model outputs, limitations, and business impact in clear, practical terms.
  • Build Generative AI applications using LLMs, prompt engineering, and RAG.
  • Design agentic AI workflows that use tools and data to complete business tasks, with appropriate safeguards and human oversight.
  • Manage databases, including retention, sharing, and security.
  • Manage Power BI and Microsoft Fabric visualization platforms, including licenses, virtual proxies, certificates, and platform upgrades.
  • Create clear project documentation, including high-level flow descriptions and special cases, suitable for new joiners and handovers.
  • Gather business requirements and translate them into data and analytics solutions.
  • Design, develop, and maintain Power BI and Microsoft Fabric dashboards, reports, and data models.
  • Use Python for data analysis, automation, and AI/ML development.
  • Develop backend applications using Django, FastAPI, and Flask.
  • Build and optimize ETL/ELT pipelines to integrate data from multiple sources.
  • Apply data modeling, validation, and quality standards.
  • Develop and support AI/ML solutions, including predictive analytics and forecasting.
  • Monitor solution performance and troubleshoot data and reporting issues.
  • Present insights and recommendations to technical and non-technical stakeholders.
  • Follow security, governance, and documentation standards.

Desired Qualifications

  • Experience with Azure.
  • Knowledge of Dataiku for data governance.

About the Company

Orange

Global telecommunications provider delivering mobile services

Orange is a global telecommunications company providing mobile, fixed-line, and internet services to millions of customers. Its products work by running cellular networks, fixed broadband, and digital services that let people make calls, send messages, browse the web, and use apps on smartphones and other devices; brands like Orange are used across services and regions to offer plans, data, roaming, and customer support. The company differentiates itself through its long history of growth via strategic acquisitions and a single, unified global brand, giving it a broad European and international footprint with integrated mobile, fixed-line, and digital offerings. Its goal is to connect people and businesses worldwide by delivering reliable communications and digital services while expanding its network reach and continuing to evolve in the telecom landscape.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1988

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