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Työn muotoFinnair is a diverse community of professionals who work ambitiously with a big heart and commitment. We cherish our strong safety culture, never taking it for granted, and courageously and determinedly keep sustainability at the core of our everyday work. We find meaning in our purpose: to enrich lives by bridging the world, and our identity and service mindset stems from our iconic brand's Nordic heritage. Our values - Commitment to care, Working Together, Simplicity and Courage - guide us in everything we do.
TheOperations Data and Analyticsteam at Finnair is the cornerstone for crafting advanced data solutions that boost our operational effectiveness. Our multi-disciplinary team, which includes Data Engineers, Data Scientists, Business Analysts, and DevOps Engineers, works in sync to ensure our operations run seamlessly. We lead the way in Situational Awareness, empowering our teams to make smart, data-informed decisions that keep Finnair ahead in the competitive field of aviation. With a commitment to transparency, collaboration, and accountability, we partner with stakeholders across the company, turning complex data into actionable insights and cultivating a culture of analytics-driven success.
We are now looking fora
DATA SCIENTIST
In your role, you will be instrumental in ensuring that our operations run smoothly, making a substantial contribution to Finnair's success. As a Data Scientist, you are tasked with the development, implementation, and oversight of Machine Learning and Artificial Intelligence models. Your focus will be on refining these models to address business challenges effectively, ensuring they are reliable and applicable in real-world scenarios, all while enhancing the efficiency of our operational solutions.
Responsibilities:
Identify data science opportunities from business challenges.
Clearly define data science solutions with goals, objectives, and expected outcomes.
Develop, validate, and test the effectiveness of ML/AI models.
Implement a containerized ML workflow using tools like Docker.
Deploy ML/AI models into AWS environments using established CI/CD pipelines.
Manage the ML model lifecycle with MLOps best practices.
Ensure data quality and uphold data governance standards throughout the development process.
Define and implement test cases to ensure the reliability and accuracy of data science solutions.
This role also involves a collaboration with business units, delivering tailored ad-hoc analyses to meet their specific needs and contributing to development projects by offering robust data science and analytics support.
Our expectations:
Minimum 2 years of experience in a data-centric role within an analytics-intensive environment.
Master's degree in a relevant field such as Mathematics, Statistics, Econometrics, or Engineering.
Demonstrated expertise in advanced analytics, including numerical optimization, time series forecasting, reinforcement learning, predictive analytics, and mixed integer programming.
Strong foundational knowledge in mathematics, particularly in probability, statistics, and linear algebra.
Proven ability to address and solve complex business problems.
Effective collaboration with cross-functional teams to achieve shared objectives.
Decisive and systematic decision-making skills, capable of performing under pressure.
Experience with agile project methodologies and using CI/CD pipelines for rapid development and deployment.
Proficient in Python and SQL. Experience with AWS and Docker is highly beneficial.
Knowledge of GDPR and AI Ethics principles.
Should your drive for data and analytics be matched by an enthusiasm for the aviation industry and a desire for engaging challenges, you might be the perfect fit for our team. Join us for a role that offers compelling professional opportunities and the support of a dedicated and forward-thinking group.
Applications should be submitted by 11.02.2024.
Should you require further details, you are welcome to reach out to BeenishQaiser, Head of Operations Data and Analytics, available for inquiries every Monday between 12:30 and 13:00 at +358 45 3598008 throughout the application period.
