Data Scientist

At DFDS, we use AI to solve concrete operational problems across European logistics, ferry, and terminal operations. We are looking for a Data Scientist focused on Applied AI and optimisation, someone who enjoys turning complex, real-world challenges into robust and scalable solutions that deliver measurable impact. This is not a research role. This is about building solutions that are used. About the role You will join the Data Science Chapter and AI Center of Excellence (CoE), where we both enable AI adoption across the organisation and build applied AI solutions for real operational problems. In this role, your primary focus will be on developing and delivering AI solutions that support decision-making in logistics, ferry, and terminal operations. You will work on turning complex operational challenges into deployable systems within machine learning, optimisation, and generative AI. At the same time, you will contribute to a shared foundation of best practices, reusable patterns, and continuous learning across the team. You will collaborate closely with product owners and engineers, while the chapter provides support for deployment, monitoring, and scaling. What success looks like In your first 6–12 months, you will: * Contribute to a model or solution that is integrated into a product or workflow * Help shape how we apply AI and optimisation in practice at DFDS What you will do * Translate operational problems into analytical and modelling approaches. * Develop ML models, statistical methods, and optimisation solutions * Design and build AI products leveraging agentic workflows where they create real value * Build MVPs and iterate them into production with engineers * Collaborate with stakeholders, such as ship’s crew or terminal workers and communicate results clearly. About the team You will be part of DFDS’ Technology & Innovation division (T&I), working in a collaborative and experienced environment across data science, optimisation, and engineering. The Data Science Chapter and AI CoE provide: * Shared standards for MLOps and responsible AI * Peer sparring and code/model reviews * A modern stack (Python, APIs, k8s based CI/CD pipelines, and MLOps tooling) Example of problems that we are working on * Optimising route planning across logistics networks * Reducing fuel consumption through predictive and optimisation models * Predicting overbooking in freight and passenger systems * Forecasting invoice payment behaviour * Designing agent-based planning tools for terminals * Automating structured data extraction using LLMs and RAG About you We are looking for an early- to mid-career professional with strong analytical foundations. Your background educational background can be many, e.g. a M.sc. or Ph.D. in Computer Science, Mathematics, Physics, Engineering, or similar. you most likely bring: * ~2–4 years of industry experience working with ML/statistical models * Strong skills in modelling, mathematics, and problem formulation * Experience with designing, training and implementing of predictive models or optimisation algorithms in a production environment. Your strengths * You enjoy turning real-world problems into structured models that delivers value * You appreciate the practices that keep models reliable in production (CI/CD, monitoring, deployment) * You are comfortable working across ML, AI, statistics, and optimisation * You are curious about LLMs and modern AI — but not driven by hype * You can prototype solutions in Python and collaborate with engineers on production We think the strongest teams are built on diversity and inclusivity. Contrasting opinions, varied skills, and strong characters bring out the best in us all. And we cannot wait for you to join. Working at DFDS Join the movement and grow with us We promote a great workplace with a diverse and vibrant community. Our award-winning headquarters in Copenhagen offers a modern workspace with ocean views and easy access to public transport. Beyond the day-to-day work, DFDS has a strong social and community culture, including employee sports clubs, choir, and other shared activities — as well as on-site facilities that make it easy to connect with colleagues across teams. You will join an environment focused on: * Real-world impact * Learning and experimentation * Continuous development through T&I’s career development model, GROW Are we a match? Then what are you waiting for? Apply now. If you think your personality, skills, and experience match this role, we’d love to hear from you. Please submit your CV and a brief motivational letter (in English) on why you are applying as soon as possible as we review applications on an ongoing basis. For questions, please contact Data Science Chapter Lead, Per Hansen at pehan@dfds.com. We look forward to hearing from you. Please note that due to the summer holiday period, there might be a delay in response time, but rest assured that we will get back to you as soon as possible.

ABOUT THE JOB You will join a growing AI team of 11 talented colleagues with a shared mission: transforming data and AI into measurable business value for Flatpay and our merchants. As a Senior Data Scientist, you will design, build, and productionize GenAI-powered products and pipelines that support business-critical decisions across the organization. A key area of focus will be customer-facing conversational AI, where creativity, strong product thinking, and a user-centred mindset are essential for developing cutting-edge solutions. In addition, you will work on AI-driven document, image, and audio processing systems that power critical business processes and analytics. You will collaborate closely with the broader AI team while taking strong ownership of complex projects and driving them from ideation to scalable production systems. This role is ideal for someone who enjoys solving complex, ambiguous problems with modern AI technologies and who has the technical judgment to turn ideas into robust, maintainable, and high-impact products. You will work across the entire AI product lifecycle — from data engineering and model development to deployment and user-facing applications — while helping set a high standard for applied machine learning, LLMs, and generative AI at Flatpay. We are looking for someone who thrives in a fast-moving environment, takes end-to-end ownership, and is comfortable engaging directly with stakeholders to identify opportunities, shape solutions, align technical direction with business needs, and continuously drive improvement. As a senior member of the team, you will also be expected to contribute to technical direction, raise the quality bar, and support the growth of those around you. WHAT YOU'LL DO * Design, build, and maintain production-grade GenAI applications and pipelines using Python, MLflow, Databricks, and leading AI platforms such as OpenAI, Anthropic, and Google. * Develop AI-powered solutions including customer-facing conversational AI, LLM-driven data enrichment and analytics workflows, and audio, image, and multimodal processing systems for both internal and customer-facing products. * Write clean, maintainable, and well-tested production Python code, including automated tests, monitoring, guardrails, validation frameworks, and fail-safe mechanisms to ensure reliability, security, and robustness in AI systems. * Build, orchestrate, and maintain data and AI workflows in Databricks, including pipelines, jobs, workflows, model serving endpoints, and custom applications deployed on the Databricks platform. * Leverage cloud platforms such as GCP, AWS, and Azure to provision, deploy, and scale AI services, including LLMs. * Integrate, optimize, and manage AI workflows that leverage external platforms and services, including tools such as ElevenLabs, Metabase, and other third-party providers. * Collaborate closely with data engineers to ensure AI products are built on reliable, scalable, and well-governed data foundations. * Drive complex projects from proof of concept through production deployment, monitoring, ongoing optimization, and business adoption. * Make technical design decisions, evaluate trade-offs, and help define best practices for building reliable, secure, and scalable AI systems. * Mentor and support other team members through code reviews, technical sparring, and sharing practical knowledge across AI engineering, machine learning, and production GenAI systems. WHO YOU ARE * You have 5+ years of industry experience in Data Science, Machine Learning, AI Engineering, or a similar technical role, with a strong track record of delivering production AI or ML systems. * You have hands-on experience building and maintaining customer-facing GenAI applications and pipelines in production and understand the importance of automated testing, monitoring, guardrails, and reliability in production AI systems. * You have experience using LLMs from multiple state-of-the-art providers of frontier and open-source models, and you have a deep understanding of the strengths and trade-offs of different frontier and open-source models. * You have strong experience building applications that leverage retrieval-augmented generation, tool calling, agents, or other modern LLM architectures. * You are highly comfortable developing production solutions in Python and working with libraries such as Transformers and the SDKs of leading LLM providers, including OpenAI, Anthropic, Google, and others. * You are comfortable working in Databricks or similar cloud-based data and AI platforms, including building pipelines, workflows, model serving endpoints, and production deployments. * You have strong PySpark, Pandas, and SQL skills and are comfortable working with large, structured datasets. * You are pragmatic and able to turn ambiguous business problems into concrete technical solutions, while helping stakeholders understand trade-offs and opportunities. * You are comfortable taking ownership of high-impact projects, working independently, and collaborating directly with stakeholders across the business. * You contribute positively to team standards, technical direction, and knowledge sharing, and you enjoy helping others become better at building high-quality AI systems. WHY FLATPAY? * Impact: Ship AI and data solutions that create real impact in one of Europe’s fastest-growing companies.  * Meaningful products: Build models that help merchants and colleagues make better decisions, act on insights, and improve workflows.  * Learning and growth: Develop across forecasting, production ML, data engineering, and AI in a supportive team.  * Flat structure: Flat structure and a strong action-over-process culture  * Competitive salary  * Vacation: 6 weeks paid  * Relaxed atmosphere with optional social events such as minigolf evenings, hackathons, and company parties in exciting off-site locations.  * Co-workers with a passion for data and AI, and a passion for sharing knowledge daily.  * Pension and health insurance, as well as almost unlimited company merch.