Job Title
Data Scientist - GenAI Summary
As a Data Scientist, you will bring the technical expertise needed to turn data into actionable insights and drive the development of intelligent solutions leveraging generative AI. You will be responsible for developing tools and applications that utilize cutting-edge AI models based on user requirements and enhancing the current digital workplace services portfolio.
In this role you will:
Analyse large datasets to extract meaningful insights and support data-driven decision-making. Develop and implement machine learning and generative models to solve complex business problems. Create predictive and prescriptive models that positively impact business performance. Apply the latest GenAI models and Large Language Models (LLMs) for conversational and generative AI, such as GPT models or open-source alternatives. Design efficient prompts to interact with GenAI models using prompt engineering. Develop GenAI use cases requiring the enhancement of general-purpose LLMs (e.g., Retrieval-Augmented Generation - RAG). Work with GenAI frameworks such as LangChain, Hugging Face Agent, and others. Work on cloud platforms using managed services like Azure ML Studio or AWS SageMaker. Create data visualizations and dashboards to communicate findings effectively (e.g., PowerBI). Define performance indicators, analyse new models' results, and present them in an understandable way. About the ideal candidate:
Experience working with machine learning and generative AI models. Proficiency in data analysis, statistical methods, and machine learning frameworks. Strong proficiency in AI tools such as Azure ML Studio, AWS SageMaker, and GenAI frameworks like LangChain, Hugging Face Agent. Expertise in data visualization tools like PowerBI. Knowledge of GenAI models and large language models (LLMs) such as GPT. Solid experience in extracting and analysing data using advanced techniques. Critical thinking and problem-solving skills. Strong communication skills, with the ability to explain complex data-driven insights to different audiences. Ability to work in a fast-paced, innovative environment and collaborate with cross-functional teams. What we can offer you:
A complete rewards offer - Amadeus provides attractive remuneration packages, covering all essential components of a competitive reward offer, including bonus, equity, pension plan, travel, life and healthcare insurance, as well as lunch and transport allowance and other benefits. A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture. Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, through on-the-job training, formal learning activities, and day-to-day interactions with colleagues. A caring environment - Amadeus fosters a caring environment, nurturing both a fulfilling career and personal and family life. We care about our employees and strive to provide a supportive work environment. A flexible working model - We want our employees to do their best work, wherever and however it works best for them. A diverse and inclusive community - We are committed to leveraging our uniquely diverse population to drive innovation, creativity, and collaboration across our organization. A Reliable Company - Trust and reliability are fundamental values that drive our actions and shape long-lasting relationships with our customers, partners, and employees. A critical mission and purpose - At Amadeus, you will be powering the future of travel and pursuing a critical mission and extraordinary purpose. Join us in shaping the future of digital workplace services through data science and AI innovation!
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Diversity & Inclusion
Amadeus aspires to be a leader in Diversity, Equity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.
Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.
