Data Scientist

Job description

Etraveli Group is a leading global flight technology provider, specializing in flight sales and offering flight content delivery and fintech products. We are here to solve complexity, by connecting millions of flights and travelers across the globe, from search and selection to trip and beyond. We partner with major global platforms such as , Google Flights, Skyscanner, and Kayak, providing seamless flight booking and related services. Our B2B portfolio includes Precision , our specialist in travel fintech; Tripstack , our B2B Flights as a Service Provider and world leader in virtual interlining, serving as the gateway to Etraveli Group’s flight content and fulfillment services; Wenrix , the AI Infrastructure for profitable growth in air; and , Sweden’s leading flight comparison site. We also operate our own online travel agency brands including Gotogate, Mytrip, and Flightnetwork. Every day we strive to make the world smaller for our customers and bigger for our people. Our diverse team of more than 3200 passionate professionals is what makes us the industry’s tech wonder and the best in the world at what we do. Major offices in Sweden (HQ), Greece, India, Canada, Israel, Poland, UK, and Uruguay. The Role The team Data Science and Research (DSR) at Etraveli Group consists of Data Scientists, ML Engineers, MLOps, and Data Engineers. The team operates across a wide spectrum of business functions ranging from content optimisation and revenue estimation, to ticket pricing, ancillary products and fraud detection. To implement new state-of-the-art products and consolidate our existing solutions the team is growing, and as our new Data Scientist you will have the opportunity to work with large-scale data sets and high-performance applications capable of processing billions of records every day. This is a challenging environment, where you will get to work with cutting edge ML technology used in production to support core business decisions and deliver the highest value to our customers. Responsibilities Develop and implement machine learning models and algorithms to solve complex business problems, optimize processes, and improve existing production solutions. Mine, analyze, and visualize large-scale datasets to identify trends and patterns, and translate these insights into concrete business actions. Work within high-performance applications capable of processing and handling billions of records every day. Explore a diverse and evolving range of business functions, developing a deep understanding of new domains to identify where machine learning can drive growth. Combine data from disparate sources, cleaning, preprocessing, and transforming it to ensure high accuracy and data integrity. Collaborate closely with stakeholders to define project objectives, data requirements, and clear definition-of-done criteria. Partner with cross-functional teams to ensure your models are successfully deployed into production. You can also have the opportunity to: Together with Machine Learning, Data, and MLOps Engineers implement the models into our services according to our development standards. Interpret and communicate findings to both technical colleagues and non-technical stakeholders through reports, presentations and visualizations. Stay updated with the latest industry trends, tools, and techniques in data science and apply them to enhance our data-driven capabilities. Requirements University degree in a STEM discipline 2-3 years of experience as a Data Scientist or similar role in a corporate or research environment Strong math skills (e.g. statistics, algebra) Proficiency in Python Experience with statistical analysis, data mining, and data visualization libraries (e.g., Pandas, NumPy, Matplotlib) Skilled in developing and deploying machine learning models utilizing core frameworks, including Scikit-learn, TensorFlow, and PyTorch Familiarity with SQL and database querying for data extraction and manipulation. Understanding of time series forecasting techniques is a plus Excellent command of spoken and written English Familiarity with version control (e.g., Git) and ability to navigate large codebases Exposure to ML orchestration and model management (e.g., Airflow, MLflow) Demonstrated experience leveraging AI-powered productivity tools (e.g., coding assistants, automation workflows) to accelerate personal tasks and enhance individual efficiency Benefits We are looking for people who would make the world smaller for travelers but want a bigger world of opportunities for themselves. With us you can enjoy: Hybrid working environment - having the opportunity to work both remotely and at the office enabling you flexibility! #LI-Hybrid Health Benefits - Through partners we offer a private health insurance plan. We also offer the possibility to use 2 extra medical leave days in case of need. Monthly ticket restaurant card - to spend in one of the thousands of affiliated restaurants, cafes, stores or supermarkets across Greece. Office in the City – We sit on bright, large floors (over 4000㎡!) in central Athens. Just a short walk from the Ambelokipi Metro station. Growth – We believe in personal development and continuous education, thus we offer the opportunity of role-related training on tools and best practices. We also like to schedule company/department/team activities and events outside the office space! We have a relaxed & fun work environment where you can enjoy free breakfast coffee/tea, playing ping pong or video games. Why Join Us? You’ll work on a core product that shapes the travel experience of millions of users worldwide, in a dynamic and evolving industry. You'll work with a passionate team dedicated to excellence, be a key player in shaping our flight content strategy, influence partners, and grow in a supportive environment that values innovation. If you're ready to elevate your career and make a real difference in the world of travel, apply now and become a vital part of our mission to be the best in the business! Diversity disclaimer At Etraveli Group we value diversity; we pride ourselves on being a company represented by people of all different backgrounds. During hiring, we are committed to ensure equality and promote diversity in the workplace at every selection stage. As such, we provide the same opportunities for all candidates regardless of race, religion or belief, gender, nationality, ethnicity, sexual orientation, age, marital status, disability, or any other characteristic protected under any anti-discrimination law or regulation.