Senior Data Scientist

Join us at Orange Business!
We are a network and digital integrator that understands the entire value chain of the digital world freeing our customers to focus on the strategic initiatives that shape their business.
Every day you will collaborate with a team dedicated to providing consistent sustainable global solutions no matter where our customers operate. With over 30000 employees across Asia the Americas Africa and Europe we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.

We are seeking a highly skilled and innovative Senior Data Scientist to join our Data & AI team. The ideal candidate will lead the development of advanced analytics machine learning models and AI solutions to drive strategic decision-making and operational efficiency. You will work on cutting-edge AI/ML technologies including Large Language Models (LLMs) MLOps and Agentic AI to solve complex business problems and create scalable AI solutions.

Key Responsibilities

• Design develop and deploy advanced machine learning models and AI algorithms to address business challenges.
• Lead initiatives in developing and fine-tuning Large Language Models (LLMs) and other AI/ML frameworks.
• Implement MLOps best practices for model deployment monitoring and maintenance to ensure scalable and reliable AI solutions.
• Develop and optimize agentic AI systems capable of autonomous decision-making and interactions.
• Collaborate with cross-functional teams to understand data requirements and translate business needs into technical solutions.
• Conduct data analysis feature engineering and model validation to ensure high accuracy and robustness.
• Stay updated with the latest advancements in AI/ML LLMs and related technologies and incorporate them into projects.
• Mentor junior team members and promote best practices in data science and AI development.
• Document methodologies models and processes for transparency and reproducibility.

Technical Skills & Expertise

• Primary Skills:
  • Python programming for data science and AI development.
  • Expertise in AI/ML algorithms including supervised unsupervised and reinforcement learning.
  • Deep knowledge of Large Language Models (LLMs) such as GPT BERT or similar.
  • Experience with MLOps tools and frameworks for CI/CD model deployment and monitoring.
  • Knowledge of Agentic AI systems and autonomous agents.
• Additional Skills:
  • Strong understanding of data preprocessing feature engineering and model evaluation.
  • Familiarity with cloud platforms (AWS Azure GCP) for scalable AI solutions.
  • Experience with data visualization tools and techniques.
  • Knowledge of databases and data management.

Experience & Qualifications

• Experience Range: 8 years in IT data science AI/ML or related fields.
• Bachelors or Masters degree in Computer Science Data Science Statistics or a related discipline.
• Proven track record of developing and deploying AI/ML models in production environments.
• Hands-on experience with LLMs MLOps and Agentic AI systems.

Strong analytical problem-solving and communication skills.

Certifications (Preferred but not mandatory):

• AWS Certified Machine Learning Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer
• Certified Data Scientist (CDS)
• Deep Learning Specialization (Coursera)
• Certified Artificial Intelligence Practitioner (CAIP)

Soft Skills

• Ability to work collaboratively in a fast-paced dynamic environment.
• Strong problem-solving and critical-thinking skills.
• Excellent communication skills to convey complex technical concepts to non-technical stakeholders.
• Passion for innovation and continuous learning.

You bring rigor passion for challenges and determination. You seek the opportunity to expand your expertise achieve your goals and thrive.

Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
Professional Development: training programs and upskilling/re-skilling opportunities.
Career Growth: Internal growth and mobility opportunities within Orange.
Caring and Daring Culture: Health and well-being programs and benefits diversity & inclusion initiatives CSR and employee connect events.
Reward Programs: Employee Referral Program Change Maker Awards.