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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist, Senior-Level - **Company:** Jobgether - **Location:** Belgium (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Cloud Engineering, Information Lifecycle Management, Machine Learning, Large Language Models, IT Architecture, Generative AI, Data Management - **Published:** September 4, 2026 - **Apply:** https://www.adzuna.be/details/5869075214 ## About the Role * 5+ years of professional experience in Data Science, Machine Learning, AI Architecture, or a closely related field. * Strong foundations in statistics, mathematics, machine learning, and modern cloud-native data platforms. * Proven experience designing, building, or orchestrating agentic AI systems, generative AI solutions, LLM applications, or intelligent autonomous workflows. * Strong product ownership mindset, with the ability to translate business requirements into product backlogs, user stories, priorities, and actionable roadmaps. * Deep understanding of data quality, data lifecycle management, privacy, governance, and data stewardship practices. * Ability to architect modular, scalable, reusable Data & AI components across complex enterprise technology environments. * Strong technical leadership and client-facing advisory skills, including experience leading demonstrations, technical discussions, and stakeholder engagements. * Excellent problem-solving and analytical capabilities, with the ability to connect technical decisions to business objectives. * Strong communication and collaboration skills, particularly when working with cross-functional and multicultural teams. * Fluent English at B2 level or higher, with the confidence to communicate, influence, and collaborate with global stakeholders. * Ability to work independently while taking ownership of complex initiatives and contributing effectively within multidisciplinary teams. * Passion for emerging AI technologies, enterprise transformation, continuous innovation, and building production-ready solutions. * Work Flexibility: Remote work opportunity. * Professional Impact: Contribute to large-scale Data & AI transformation initiatives and help shape intelligent enterprise solutions. ## Description This is a senior-level opportunity for a data and AI professional who wants to influence enterprise-wide transformation initiatives. You will help shape modern data ecosystems and develop intelligent, agentic AI solutions from strategy through end-to-end delivery. The role combines hands-on data science expertise with product ownership, technical architecture, governance, and client advisory responsibilities. You will translate complex business needs into structured backlogs, roadmaps, and scalable Data & AI solutions. Your work will focus on building modular, reusable capabilities that can operate effectively across sophisticated enterprise environments. You will collaborate with technical and business stakeholders, lead high-level discussions, and provide trusted guidance on emerging AI opportunities. This position is ideal for an experienced professional who combines strong analytical foundations with strategic thinking, technical leadership, and a passion for innovation. Accountabilities * Design, build, and orchestrate agentic AI workflows, generative AI applications, LLM-based solutions, and intelligent autonomous systems. * Translate business objectives and user needs into structured product backlogs, user stories, technical requirements, and execution roadmaps. * Take ownership of Data & AI initiatives from strategic definition through architecture, development, implementation, and delivery. * Design modular, scalable, and reusable Data and AI components that can be applied across complex enterprise environments. * Apply strong data stewardship practices covering data quality, lifecycle management, privacy, governance, security, and production readiness. * Bridge business and technical requirements by collaborating closely with stakeholders, project managers, engineers, data professionals, and other cross-functional teams. * Act as a trusted technical advisor, leading demonstrations, architecture discussions, technical workshops, and high-level stakeholder conversations. * Identify opportunities to improve enterprise data ecosystems and accelerate the adoption and scaling of advanced AI capabilities. * Provide technical leadership throughout delivery, helping teams make sound architectural and implementation decisions. * Communicate complex Data & AI concepts clearly to diverse, multicultural stakeholders and help align technical solutions with strategic business outcomes., * Leadership Opportunities: Serve as a technical advisor and influence architecture, product direction, and strategic technology decisions. * Global Collaboration: Work with diverse, multicultural stakeholders across complex enterprise environments. * Career Growth: Expand expertise across data science, AI architecture, product ownership, governance, and enterprise transformation. * Strategic Exposure: Gain experience connecting business strategy with scalable technical solutions and end-to-end AI delivery. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Architectures that we can use with .NET](https://www.wearedevelopers.com/videos/935-architectures-that-we-can-use-with-net) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Jobs in Tech: The State of the European Market](https://www.wearedevelopers.com/magazine/575-jobs-in-tech-the-state-of-the-european-market) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)