Are you passionate about leveraging data to drive impactful business decisions? Do you thrive in a dynamic and collaborative environment where your analytical and technical skills can shine? At KLM, were on a mission to elevate our data-driven decision-making to new heights, and we’re looking for enthusiastic, proactive, and skilled Data Scientists to join our innovative team. As a part of our Data, OR & AI department, youll work on cutting-edge projects that directly influence our operations, enhance customer satisfaction, and drive significant business value. If youre ready to take on real-world challenges and be a part of a forward-thinking organization, we want to hear from you! Join us in shaping the future of aviation with data.
Before diving into your IDE or notebook to start hacking, you will fully immerse yourself in the context of the business in order to come up with the best solution to the challenge. Important aspects of your job on a day-to-day basis will be to:
You are also encouraged and expected to spend 15-20 of your time with us learning new things, doing research and developing yourself. You can do this by following courses, reading papers or doing cool hack projects with your colleagues. The projects you do in your 15-20 developing time must be related to your role, but do not have to be related to the projects you normally work on. Do you have what it takes to take KLM’s data-driven decision-making to a higher level?
You will be working in a hybrid way, partially from home and partially from the office at the headquarters of KLM in Amstelveen. We have flexible working hours and office days; hence we will find something that suits you. You will be hired by the Data, OR & AI department, which will place you into one of the Data Science product teams in KLM (i.e. a matrix organization). The OR department currently comprises about 40 Data Science professionals in product teams across KLM, sharing knowledge, training and (social) events. Across all expertise, we are growing and in search of new talent so we can scale the AI capabilities at KLM. We are looking to fill a Sr. ML Engineer role in the Finance domain. The Finance Data Analytics (FDA) team currently consists of multiple Data Scientists, who work closely with our contacts in the business. The FDA team is part of a larger value chain embedded in their part of the organization, meaning you will also work closely together with other data teams that are specialized in areas like Data Engineering and Data Governance. The core focus of the FDA team is improving decision making in financial processes around KLM. They answer questions like:
The answers to these questions directly influence the operations of KLM, which means plenty of opportunities to work on projects that truly save costs, increase customer satisfaction and revenue.
We are looking for a motivated, enthusiastic and proactive colleague with the necessary skills to solve the real business problems and provide value to KLM. We have found that people who match the following requirements are the ones who fit us best:
The skills and experience you bring to the team:
Also you have:
For the FDA team specifically, it’s critical as a Senior ML Engineer to:
Technologies we currently use within the team (great if you already know them, or can pick them up when needed): Python, Docker, Kubernetes, MLFlow, Dagster, Git, SQL, DBT, Grafana, Kibana, Prometheus, Spotfire, PowerBI, Atlassian Suite (Confluence, JIRA), GitHub (Actions), GCP.
If your position allows this: working from home and working from abroad for up to 8 weeks (EU and Caribbean)
2 development budget to be spent freely
Plenty of room for personal development and great career opportunities
Substantial discount on airline tickets (if you have been employed for at least 6 months)
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Don’t wait any longer and apply for this function before the final boarding call on 12/20/2024! A motivation letter is no longer required; we will simply ask you a couple of questions during your online application. Within two weeks, you will receive a message from us. Your application procedure consists of two interviews and –possibly- an assessment and security research.Did you know that according to research, women are less likely to apply than men when they dont meet all the job requirements? What a shame. Because, in our view, the perfect candidate is a myth. So, if you have the drive to grow in aspects of this role, we look forward to your application.A file check (for ex-KLM-employees) and/or a reference check can be part of the application procedure. By applying for this vacancy you consent to these checks.
Do you think were a match?Start your journey with us here.
If you have any questions regarding this vacancy, contact our recruiter Lorenzo or hiring manager Saskia!This job has the following ID number: 18225