Data Scientist

ppAre you excited by solving real business problems with data, analytics, and AI? /ppDo you enjoy combining structured analysis, client interaction, and modern tools to create measurable impact? /ppAre you curious about new ways of working, including AI-assisted and agentic workflows, while staying pragmatic and quality-driven? /ppAt Agilytic, we help clients turn business objectives into measurable results through smarter use of data. We are looking for a colleague who is comfortable moving between business understanding, quantitative analysis, and hands-on delivery. /ph3bWhat is your mission? /b /h3pHelp innovative companies turn their objectives into concrete results through smarter use of data, analytics, automation, and AI. /ppYou will work at the intersection of business and technology to help clients make better decisions, improve performance, and implement solutions that create tangible value. /ph3bWhat will you do day to day? /b /h3pAs a Data Scientist (Consulting AI Delivery), you will contribute to the end-to-end delivery of our projects, from problem framing to implementation and client adoption. /ppYou will work closely with client stakeholders and internal team members to: /pulliTranslate business questions into analytical approaches and decision-support solutions /liliStructure and prioritize requirements with clients /liliCollect, clean, transform, and validate data from multiple sources /liliPerform descriptive, diagnostic, and predictive analyses where relevant /liliBuild dashboards, models, reports, and decision-support tools /liliPrototype and automate parts of the analysis or delivery workflow /liliCommunicate findings, trade-offs, and recommendations clearly to technical and non-technical audiences /liliSupport implementation so that analysis leads to concrete action /liliUse modern AI-assisted tools responsibly to accelerate research, coding, testing, documentation, and delivery /li /ulpOur assignments typically include: /pulliData audit /liliData preparation /liliDescriptive and diagnostic analysis /liliModeling where relevant /liliDashboarding and reporting /liliPresenting results and recommendations /liliSupporting implementation and business adoption /li /ulpSenior Data Scientists also supervise and coach junior team members in both client delivery and internal initiatives. This guidance helps them quickly develop the business, consulting, and technical skills needed to manage projects independently. /ph3bHow we work /b /h3pWe are pragmatic and outcome-driven. We use the right level of sophistication for the problem at hand. /ppThat means we do not apply advanced techniques for their own sake. Sometimes the right answer is a predictive model, an automation, or a more advanced analytical workflow. Sometimes it is a clear dashboard, a robust dataset, or a simple analysis that helps a client act quickly and confidently. /ppIncreasingly, this also includes AI-assisted and agentic ways of working. We welcome candidates who are already comfortable using tools such as Claude Code, Codex, GitHub Copilot, Cursor, or similar tools to accelerate research, coding, testing, documentation, and delivery. /ppWhat matters most is not tool usage alone, but professional judgment: being able to frame the problem correctly, validate outputs carefully, communicate clearly, and maintain quality, security, and maintainability. /ph3bDo you recognize yourself? /b /h3h3bYour background /b /h3ulliYou hold a master’s degree in a quantitative, scientific, engineering, or business-related field such as Engineering, Mathematics, Statistics, Economics, Physics, Biology, Computer Science, or similar /liliYou are fluent in English and in either Dutch or French /li /ulh3bYour core skills /b /h3ulliYou have a strong foundation in analytics, statistics, and structured problem solving /liliYou have hands-on experience with Python and SQL for data preparation, analysis, and modeling /liliYou are comfortable working with real-world datasets and transforming ambiguous business questions into structured analytical work /liliYou can communicate insights clearly and adapt your message to both technical and non-technical audiences /liliYou are comfortable working directly with clients and presenting recommendations /li /ulh3bNice to have /b /h3ulliExperience with ETL / ELT workflows, cloud data environments, APIs, or analytics engineering /liliExperience with BI and reporting tools /liliFamiliarity with machine learning, forecasting, segmentation, optimization, or experimentation /liliExperience with version control, testing, and collaborative development practices /liliFamiliarity with AI-assisted or agentic coding workflows and tools such as Claude Code, Codex, GitHub Copilot, Cursor, or similar /li /ulpWe will be especially interested in candidates who can show how they use modern tools to work faster and better while maintaining strong standards of rigor, validation, and documentation. /ph3bYour personal style /b /h3ulli