Analytics Engineer

Join Our Team as an Analytics Engineer at Maersk in Copenhagen!

Are you passionate about incorporating cutting-edge technology like machine learning and mathematical optimization into real-world operations? Do you thrive in collaborative environments where your expertise drives impactful solutions? If so, we have an exciting opportunity for you!

About Us:
At Maersk, we're revolutionizing decision-making processes by integrating machine learning and mathematical optimization into our core operations. As one of the world's leading container logistics companies, we're dedicated to optimizing our operations to deliver maximum value for our customers. Join our Network Strategy team and be at the forefront of shaping the future of container logistics.

Your Role:
As an Analytics Engineer, you'll play a pivotal role in expanding our advanced analytics capabilities. Working closely with cross-functional teams, you'll identify business requirements, develop impactful solutions, and implement algorithms to enhance operational efficiency and decision-making. Collaborating with experts in mathematical optimization, business specialists, and software developers, you'll pioneering state-of-the-art technology to optimize one of the world's largest container vessel networks.

What We Offer:

• An exciting role in our Network Strategy team, where you'll tackle some of Maersk's most challenging optimization problems.
• Opportunities to contribute to Maersk's long-term strategic planning, focusing on optimizing our global ocean transportation network.
• A chance to work in an international environment at our headquarters in Copenhagen.
• Flexible work culture with partial remote work options.

Key Responsibilities:

• Develop tools in collaboration with Maersk's business to facilitate decision-making in network design and ocean product development.
• Gather and analyze business requirements, conceptualize solutions, design, test, and refine prototypes and production applications.
• Collaborate with business experts to identify opportunities for creating additional value through enhanced tools.
• Shape the vision for leveraging software to optimize Maersk business operations.

Who We're Looking For:

• Strong technical background with a master's or PhD degree in engineering, mathematics, or computer science, focusing on AI/machine learning or mathematical optimization/operations research.
• Minimum 2 years of professional experience in software development, particularly in algorithms and optimization tools.
• Ability to translate business requirements into mathematical and quantitative models, adhering to best software development practices.
• Analytical mindset with a knack for solving complex technical challenges.
• Excellent communication and interpersonal skills for seamless collaboration.
• Proficiency in Python and familiarity with development, debugging, test, and version control tools.
• Experience in graph theory, database management (preferably MS SQL Server), systems programming languages such as C++, statistical and probability analysis, is a plus.

If for have any further questions you can reach out directly to hiring manager Emil Sokoler on email: [email protected]

Ready to Join Us?
If you're ready to make a meaningful impact and be part of a dynamic team driving innovation in container logistics, apply now! Be a key player in shaping the future of Maersk's operations and delivering value to our customers worldwide.

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing [email protected].

Data Engineer

Work type:
Full time

Locations:
DK - Copenhagen