Job Description

Software Engineer
The Data Scientist (AI/ML science) at Maersk Customs Services will drive the development and deployment of AI-powered solutions to transform customs compliance into a strategic advantage for customers. Leveraging the Global Unified Data Platform, you will build predictive models, automate risk detection, and deliver actionable insights that enhance compliance accuracy, optimize duties, and streamline cross-border trade. This role is pivotal to executing MCS's strategy, which emphasizes AI-driven differentiation, data product innovation, and seamless integration with Maersk's logistics ecosystem.
Key Responsibilities: -

• Model Development for Predictive Compliance

Design and train machine learning models to detect anomalies, flag classification inconsistencies, forecast clearance delays, and assess customs risk. * Hypothesis-Driven Analytics (Mode 2)
Collaborate with product owners and GTCC advisors to define and test hypotheses that drive value (e.g., "Can we reduce customer audit exposure by 20% via automated HS classification
"). * Data Exploration & Feature Engineering
Analyze customs, trade, and operational datasets to uncover patterns, engineer features, and refine model inputs across a diverse regulatory landscape. * Insight Generation for Strategic Advisory
Translate model outputs into insights that support dynamic duty optimization, risk management, and customer advisory--powering GTCC, CCT, and self-service dashboards. * Algorithm Benchmarking & Validation
Test multiple ML techniques (classification, time-series, clustering, etc.) and evaluate performance across regions, products, and trade flows. * Collaborative Innovation
Work as part of agile cross-functional squads with product managers, trade experts, and platform engineers to co-develop data products, but remain primarily focused on modeling and experimentation--not deployment.
Required Skill & Experience: -

• 5+ years of industry experience in data science or applied machine learning.

• Advanced knowledge in ML/algorithms and statistical modeling (classification, regression, clustering, anomaly detection).
• Proficient in Python, Jupyter, SQL, and libraries such as scikit-learn, pandas, XGBoost, TensorFlow, or PyTorch.
• Ability to design experiments, structure data science sprints, and communicate hypotheses and results.
• Experience with customs data, HS codes, FTAs, or trade compliance is highly valuable.
• Comfort working in ambiguity and iterating quickly with partial datasets.
• Strong storytelling skills--able to turn model outcomes into business-ready insights.
• Experience working in cloud environments such as Azure.
• Solid understanding of data pipelines and collaboration with data engineering teams.

Impact Areas: -

• Model Accuracy: Improve classification precision and risk prediction through smarter, context-aware models.
• Innovation Velocity: Accelerate Mode 2 innovation by delivering validated use cases quarterly (e.g., HS classification, anomaly detection, quota risk).
• Insight-Driven Decisions: Enable GTCC and CCT to provide more precise, data-backed recommendations to high-value customers.
• Strategic Differentiation: Contribute to MCS's goal of launching three new AI-powered products and achieving 99.9% compliance accuracy.

Qualifications: -

• MSc/PhD in Data Science, Statistics, Applied Math, or similar.
• 3-5+ years in hands-on model development (industry or academic research).
• Passionate about turning data into products that impact global trade, compliance, and operational excellence.
• Eager to work in a mission-driven team shaping the future of customs intelligence.

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.
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