Moffatt & Nichol specializes in large complex waterfront infrastructure projects and is recognized as one of the worldwide leaders in this field. We are actively looking for a Data Scientist / AI Engineer to join our Nextport team. As part of the Nextport Group, the Data Scientist uses large data sets to find opportunities for simulation products, data analytics and process optimization. Uses a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
About Moffatt & Nichol:
NextPort, as Technology and Innovation spin-off of Moffatt & Nichol, provides technology solutions for Ports and Terminals. We partner with customers to make data connectable and useful, driving digitalization to enhance efficiency, safety, sustainability and resilience. Our 360 Operational Digital Twin solution connects processes, data and systems. Together, we are contributing to transform the Maritime Industry with AI technology and data-driven decision-making.
Moffatt & Nichol's professional staff includes engineers, planners, scientists, and architects who serve our global client base from offices in Europe, the Americas, and the Pacific Rim. The firm provides clients worldwide with customised service and a level of excellence that have become the firm's hallmark in three primary practice areas—coastal, environmental, and water resources; ports and harbours; and transportation, bridges, and rail.
Duties and responsibilities:
Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.
1. Design, build, and deploy advanced ML/AI models for operational efficiency, prediction, and optimization in port and logistics environments
2. Work with large-scale datasets using Databricks and Delta Lakes
3. Research & Innovation: Stay on top of the latest trends in AI and machine learning. Continuously explore new methodologies, tools, and techniques to push the boundaries of what AI can achieve
4. Explore, fine-tune, and operationalize LLMs to power AI agents, decision-support tools, and conversational analytics
5. Model Deployment & Integration: Implement AI models into production environments and ensure smooth integration with existing systems and workflows. Monitor model performance and make iterative improvements
6. Collaborate with data engineers, product managers, and business stakeholders to translate business challenges into data-driven solutions
7. Contribute to code quality, testing, and CI/CD practices through GitLab and Dockerized environments
Other duties:
Please note this job posting is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Qualifications:
8. 5+ years of professional experience in Data Science / AI Engineer
9. Programming Languages: Proficiency in Python and PySpark. Strong experience with machine learning libraries and frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn, or similar
10. Hands-on experience with Databricks
11. Knowledge of LLMs (fine-tuning, RAG, prompt engineering, embeddings)
12. Experience with agentic AI frameworks (LangChain, LlamaIndex, Haystack, or equivalent)
13. Experience with real-time or streaming architectures (Kafka or similar)
14. Solid understanding of data modeling, feature engineering, and ML lifecycle
15. Experience in GitLab (version control, CI/CD pipelines)
16. Strong analytical mindset, problem-solving skills, and ability to communicate complex ideas to both technical and non-technical stakeholders
17. Product-oriented experience
18. Familiarity with Docker for reproducible environments
19. Background in agile methodologies
20. Exposure to maritime, logistics, or transportation domains
21. Official certifications in Databricks, Azure Cloud
22. All new hires will be required to successfully complete and pass a pre-employment (post offer) background check in compliance with NIST
Working conditions:
Sedentary for prolonged period of time, interact with clients, and travel occasionally.
Moffatt & Nichol's EEO Statement:
As a global business, Moffatt & Nichol relies on diversity of culture and thought to deliver on our goal of Creative People, Practical Solutions serving our client needs, and ensures nondiscrimination in all activities. We draw from the world's best and brightest, regardless of geographic, cultural, or institutional background. This approach enables us to better understand and serve our clients, foster innovation, and create a rich, collaborative work environment. Moffatt & Nichol is proud to be an Equal Employment Opportunity / Federal Contractor desiring priority referrals of all protected veterans for job openings.