For more than 40 years, Accelya has been the industry's partner for change, simplifying airline financial and commercial processes and empowering the air transport community to take better control of the future.
Whether partnering with IATA on industry-wide initiatives or enabling digital transformation to simplify airline processes, Accelya drives the airline industry forward and proudly puts control back in the hands of airlines so they can move further, faster.
We are looking for a Senior Data Scientist to work on projects that apply Large Language Models (LLMs) and AI agents in production environments.
You will be at the forefront of designing domain-adapted generative solutions, enabling capabilities such as structured output generation and schema-constrained applications that drive operational impact.
While the main focus will be GenAI initiatives, you will also contribute to traditional ML projects (e.g., predictive modeling, demand forecasting, optimization, and time series analysis) as needed, based on company priorities.
If you are passionate about LLMs, prompt engineering, fine-tuning, and building robust agentic systems, and if you thrive at the intersection of AI research and production deployment, this role is for you.
Responsibilities
Design and implement LLM-powered solutions for enterprise-scale use cases requiring structured outputs and domain adaptation.
Develop and maintain AI agents capable of handling domain-specific knowledge and workflows in production.
Apply prompt engineering, retrieval-augmented generation (RAG), and other techniques to embed company expertise into LLM pipelines.
Contribute to LLM continuous pretraining and fine-tuning efforts to adapt models to specialized tasks.
Integrate LLM-based agents into production environments with a focus on scalability, latency, reliability, and compliance.
Conduct experiments to evaluate model quality, effectiveness, and business impact.
Establish monitoring, guardrails, and evaluation frameworks for safe and effective GenAI usage.
Stay current with research and developments in LLMs, agent architectures, orchestration frameworks, and generative AI platforms.
Use predictive modeling to enhance customer experience, revenue generation, dynamic pricing, and demand forecasting.
Communicate complex findings and insights to both technical and non-technical audiences.
Collaborate with different functional teams to integrate models into business operations.
Required Qualifications
Fluent English: Interviews will be held in this laguage.
Preferred Qualifications
Why Join Accelya?
At Accelya, you will work at the intersection of data science and aviation, tackling real-world challenges that impact global airlines.
You will have the opportunity to work with large, complex datasets, apply state-of-the-art machine learning techniques, and collaborate with a highly skilled team of data scientists, engineers, and business leaders.
Your work will directly influence how airlines optimize their pricing, forecast demand, and maximize revenue.
If you have a background in revenue management, dynamic pricing, or cloud-based AI/ML, you will have an opportunity to apply your skills on a global scale.
Ready to take flight with us?
Apply now
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