Data Scientist

Finnair is a diverse community of professionals who work ambitiously, with a big heart and strong commitment. A strong safety culture is our priority and at the core of our everyday work — something we never take for granted. We are also committed to doing our share in solving the climate challenge by determinedly following our science-based pathway to decarbonize our operations.

We find meaning in our purpose: With our heart in Finland, we make every journey better, today and tomorrow. Our values — Always Safe, Customer at Heart and Stronger Together — guide us in everything we do.

Intelligent Operations is a new organization within Finnair Digital, focused on accelerating the digital transformation of airline operations. We bring together expertise in technology, data, architecture, integrations, and operational development to build reliable digital capabilities that support operational workflows and decision-making across the airline.

We are now looking for a

(Full Stack) Data Scientist

to join our Intelligent Operations team at Finnair.

In this role, you will develop data science, AI, machine learning, and optimization solutions that support operational decision-making across Finnair. You will work with complex operational problems and help turn data, models, and analytical methods into practical solutions that improve situational awareness and support real-time, tactical, and day-to-day decision-making.

The role combines strong data science expertise with an interest in software development. Our data science solutions are developed with production use in mind, which means attention to code quality, testing, maintainability, deployment, monitoring, and continuous improvement.

You will work closely with operational stakeholders, Business Analysts, Data Engineers, Software Developers, architects, and other Digital teams to understand business needs and develop reliable analytical and AI-driven solutions for an operationally critical environment.

Main responsibilities

• Work with operational stakeholders and Digital teams to understand business needs, identify operational challenges, and translate them into data science, AI, machine learning, or optimization solutions.

• Design, develop, validate, and deploy models and analytical solutions that support operational decision-making.

• Build scalable, maintainable, and production-ready data science solutions using modern software engineering practices.

• Develop clean, tested, and reusable code, applying test-driven development principles where appropriate.

• Contribute to MLOps practices, including model deployment, monitoring, observability, and continuous improvement.

• Ensure high standards for data quality, model validation, governance, and responsible use of AI.

• Communicate findings, model outcomes, risks, and recommendations clearly to both technical and business stakeholders.

• Support the continuous improvement of data science, AI, optimization, software development, and MLOps practices within Intelligent Operations.

Our expectations

• Master’s degree or higher in Mathematics, Statistics, Computer Science, Engineering, Econometrics, Operations Research, or another relevant quantitative field.

• Minimum 3–5 years of experience in data science, machine learning, operations research, or a similar analytical role.

• Strong Python programming skills, good understanding of statistics, probability, optimization, and machine learning methods, and experience developing analytical, machine learning, or optimization solutions for real-world business problems.

• Interest in software development and production-ready data science solutions, with familiarity in practices such as version control, testing, code quality, CI/CD, test-driven development, model deployment, monitoring, and lifecycle management.

• Ability to assess data quality, validate analytical outputs, and apply responsible AI principles such as transparency, validation, and governance.

• Practical problem-solving mindset and ability to communicate findings, model outcomes, risks, and recommendations clearly to both technical and business stakeholders.

• Experience with cloud-based development, preferably AWS, aviation, airline operations, or another operationally critical environment is considered an advantage.

• Fluency in English is required. Finnish language skills are considered an advantage.

Working at Finnair

We offer you an exciting opportunity in the multifaceted and fast-changing aviation and travel industry, along with a great team and wide personal development opportunities. At Finnair, ambitious, competent, and motivated people can really make a difference.

We are happy to enable our employees to enrich their lives and fulfill their travel dreams by offering a wide leisure travel benefit. We also support the health and wellbeing of our employees through our own Sickness Fund insurance benefit, Epassi benefits for sport, culture, wellbeing and commuting, gyms around the Finnair campus, and activities organized by our hobby clubs.

Are you interested? Please submit your application no later than 24 July 2026.

Please note that the hiring process includes a pre-employment security clearance and a drug test.

In case you have any questions about the role, please contact Beenish Qaiser, Director, Intelligent Operations, by phone on Wednesdays 1 July or 8 July between 14:00 and 16:00 at +358 45 359 8008.

Please note that we do not process applications submitted by email.

Our people are key to our success and the foundation that makes Finnair unique. We are committed to creating a safe work environment where all our people can thrive and succeed. We cherish diversity and strive to employ people with different backgrounds and experiences, bringing together multiple views to foster our business success. According to our employee survey, respecting diversity is at a high level in our work community.