Amadeus is hiring for an FRESHER entry level Data Scientist role in India

Position:

• Data Scientist

Company:

• Amadeus

Location:

• Pune, India

Job type:

• Full time

Job mode:

• Hybrid

Job requisition id:

• R34078

Years of experience:

• 0 to 3 years

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Company description

• Amadeus is a global technology company that focuses on improving the travel experience for people across the world through digital solutions and advanced software systems. The company works with airlines, travel agencies, airports, hospitality businesses, and other travel ecosystem partners to create technology platforms that help manage bookings, reservations, payments, analytics, and customer experiences. Its products and services support the functioning of the modern travel industry by connecting businesses and travelers through intelligent digital infrastructure.

• With a workforce of more than twenty thousand professionals operating across over one hundred locations globally, Amadeus brings together specialists from technology, engineering, analytics, product development, and business strategy. The organization encourages collaboration between teams that are spread across different regions and time zones. Employees work together to build solutions that power critical systems used daily by travel companies and millions of travelers worldwide.

• The organization believes that travel is an important force that connects people, cultures, and economies. By building innovative technology platforms, the company aims to simplify the way travel services are delivered. Its systems help travel providers operate more efficiently while also improving customer experiences for passengers and travelers.

• Amadeus also places strong importance on building responsible technology that supports sustainability and long term positive impact. Teams are encouraged to develop solutions that contribute to environmental awareness, operational efficiency, and improved travel experiences. Through its technology platforms and partnerships with global travel organizations, the company contributes to building a more connected and accessible world.

• The workplace culture at Amadeus encourages innovation, experimentation, and knowledge sharing. Employees are given opportunities to work on modern technology stacks and solve complex real world challenges in the travel domain. By combining expertise in data science, artificial intelligence, and cloud technologies, teams aim to deliver products that improve the efficiency of travel systems worldwide.

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Profile overview:

• The Data Scientist role at Amadeus focuses on using data driven methods to generate insights that help improve products, services, and operational decision making. The role involves working with large and diverse datasets related to travel platforms, customer behavior, operational metrics, and digital systems used across the organization.

• A professional in this role will collaborate with engineers, analysts, and product teams to identify opportunities where data science models can create value. The responsibilities may include analyzing structured and unstructured data, building predictive models, and designing algorithms that help improve system efficiency and customer experiences.

• Data scientists in this position may work on various use cases such as demand forecasting, recommendation systems, anomaly detection, customer segmentation, or operational analytics. By applying statistical methods and machine learning techniques, they help transform raw data into meaningful insights that can support strategic decisions.

• The role also involves communicating analytical findings to stakeholders from different business functions. This includes explaining technical concepts in a clear manner so that teams across product, engineering, and business units can understand and apply the insights in their work.

• Since Amadeus operates in a global environment, professionals in this position may collaborate with teams across different locations. This creates an opportunity to work on large scale technology platforms that impact the travel ecosystem worldwide.

• Individuals joining this role will gain exposure to real world data challenges and modern analytics tools. The position offers opportunities to develop expertise in machine learning, experimentation, and data driven decision making within a technology driven organization.

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Qualifications:

• A bachelor’s or master’s degree in a relevant academic field such as computer science, data science, statistics, mathematics, engineering, information technology, or a closely related discipline that provides a strong foundation in analytical thinking and computational methods.

• Strong understanding of statistical techniques and mathematical concepts that are commonly used in data science. This may include probability theory, hypothesis testing, regression analysis, classification methods, clustering techniques, and data exploration practices.

• Familiarity with programming languages commonly used for data analysis and machine learning. This may include tools such as Python or similar languages that allow professionals to work with data, build models, and develop analytical workflows.

• Knowledge of data processing techniques including working with structured datasets, cleaning and transforming raw data, and preparing data for analysis or modeling. Experience with databases or query languages such as SQL can be beneficial for retrieving and manipulating data efficiently.

• Understanding of machine learning fundamentals including supervised learning, unsupervised learning, and model evaluation techniques. Candidates should be comfortable applying algorithms and assessing model performance using appropriate metrics.

• Exposure to data visualization tools or libraries that help present insights in a clear and understandable format. The ability to create charts, dashboards, or analytical reports can help communicate findings to non technical stakeholders.

• Basic knowledge of experimentation frameworks such as A B testing can be useful when analyzing product features or measuring the impact of new improvements within digital platforms.

• Good problem solving skills and analytical thinking. Candidates should be comfortable breaking down complex problems, identifying patterns in data, and suggesting practical solutions supported by data insights.

• Strong communication skills that allow professionals to collaborate effectively with cross functional teams including engineers, analysts, and product managers.

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Additional info:

• Amadeus promotes a workplace culture that values diversity, inclusion, and equal opportunities for professionals from different backgrounds. The company believes that building diverse teams helps generate new ideas, encourages creativity, and strengthens collaboration across projects.

• Employees are encouraged to contribute their unique perspectives and experiences while working on global technology solutions. The organization actively supports initiatives that ensure fair treatment and equal opportunities for individuals regardless of gender, ethnicity, age, disability, beliefs, or other protected characteristics.

• The company aims to create an environment where employees feel respected, supported, and able to reach their professional potential. This includes fostering a culture where individuals feel comfortable sharing ideas and collaborating with colleagues from different disciplines and locations.

• As a technology organization working at the intersection of travel and digital platforms, Amadeus provides opportunities to work with modern technologies and large scale systems. Employees often collaborate on projects that involve advanced analytics, machine learning models, and complex operational data.

• The company also encourages continuous learning and professional growth. Team members may have access to training resources, mentorship opportunities, and collaborative learning environments that help them develop new skills.

• Working in this role provides exposure to real world business challenges in the travel industry. Data scientists may contribute to improving digital booking systems, optimizing operational processes, enhancing customer experiences, or supporting product innovation using data driven insights.

• By joining Amadeus, professionals become part of a global team focused on building technology that connects travelers and travel providers worldwide. The role allows individuals to contribute to systems that impact millions of users while developing their expertise in data science and analytics.

Please click here to apply.