{"id":4278169,"url":"https://alion.io/job/keyes-data-scientist-90-remote-eu-commission","title":"Data Scientist - (90% remote) - EU Commission","company":{"id":54374,"name":"Keyes","domain":"keyes.eu","url":"https://alion.io/company/keyes","size_band":"201-500","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"B","score":80,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"freelance","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Brussels, Belgium"],"countries":["BE"],"hiring_countries":["DE","FR","GB","AT","BE","BG","HR","CY","CZ","DK","FI","HU","IE","IT","NL","NO","PL","RO","ES","SE","CH","EE","GR","IS","LV","LI","LT","LU","MT","PT","SK","SI"],"hiring_countries_total":32,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"EU AI Act","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-13T15:45:52Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T19:40:00Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Joining KEYES means giving purpose to your talent.\nWho are we?\nAre you looking for an environment where technology is not an end in itself, but a lever to build a sustainable future? At KEYES, we are not just looking for technical expertise; we are looking for people who share our values. Do you want to continue your career and grow within one of Belgium’s leading IT companies?\nKEYES - International Organizations (IO) is a dynamic global organization that takes pride in being the trusted partner of EU Institutions. With strong commitment to excellence and a 30-years track record of delivering high-quality solutions, we are dedicated to supporting the growth and success of our clients. Our Mission is to help our clients keep up with the challenges of digital transformation by providing the right talent at the right time for the right job. To this end, we are constantly looking for talented professionals who are interested in working on challenging international projects and able to deliver high-quality results within multicultural environments. Our services include (but are not limited to) modernization of solutions, digital workspaces, cloud technologies and IT security. Our Headquarters are in Brussels and we have active accounts and offices across Europe (i.e. Luxembourg, Amsterdam, Athens, Stockholm, Geneva).\nMore information: www.keyes.eu\nIs this YOU?\nFor one of our main clients based in Brussels - a European Institution, we are looking for a Senior Data Scientist with expertise in Python, R language, PowerBI, SQL to support corporate solutions in the area of agriculture.\nPlease note that the position is fully remote contingent on your being a freelancer established in the EU and EU national.\nThe unit heavily relies on data in all phases of the policy lifecycle, including policy conception, implementation, monitoring and evaluation. Data are either managed through EC corporate or local IT systems or collected from external sources. Sound principles and structures have been put in place to ensure robust data governance. The role includes data management, data governance and digitalization.\nIn this context, the team has launched a ‘Data analytics’ initiative to further exploit the potential of the data value chain for the Common Agricultural Policy, by leveraging on the new data technologies and processes. The purpose of this service contract is to provide the unit with additional expertise in analytical and operational tasks connected to data collection, transformation, integration, validation and publication.\nMore specifically, you will be responsible for…\nDevelop and implement machine learning algorithms, statistical models, and scripts\nto solve specific business problems.\n\nConduct rigorous experiment design (e.g., A/B testing), employ cross-validation\ntechniques, and perform statistical significance testing to validate findings and model\nperformance.\n\nElaborate processes to ensure the compliant implementation of regulatory frameworks\n(e.g., EU AI Act), including model risk management, monitoring for drift/bias, and\ncomprehensive documentation (e.g., model cards)\nAdditionally, the following tasks are to be performed:\n\nData collection, transformation and integration:\nAnalyse the needs and identify\nsuitable data sources and flows.\n\nOrganise the execution of the data collection an integration processes, verify results, propose improvements and implement them in cooperation with the IT department.\n\nOrganise the related user acceptance tests.\n\nThis task will generate up-to-date data collection, transformation and integration processes and tools, updated databases with integrated data, up-to-date analysis documents, process documentation and reports.\n\nData validation, visualisation and publication:\nOrganise the data validation and the\ndata quality checks, including through automated processes.\n\nAnalyze needs and create reports, data visualisations and publications, in cooperation with the IT department.\n\nOrganise the related user acceptance tests.\n\nThis sub-task will generate up-to-date data validation processes, updated databases with validated data, up-to-date process documentation and reports, up-to-date reports, data visualisations and publications.\n\nSupport to data providers and users:\nSupport data providers in the communication of\ndata through the creation of templates, tools and guidance documents. Support both data\nproviders and users at various stages of the data validation processes.\n\nOrganise the support to users asking for access, clarification or information on data. This task will\ngenerate templates, tools, guidance documents and managed data helpdesk tickets.\n\nData policies:\nCollaborate in assessing the implementation of DG AGRI data policies\nand ensure data policies are implemented for new data collections.\n\nRequirements\nAre you the perfect match?\nMaster’s/Bachelor’s degree;\n\nMinimum 7 years of experience in data science, data analytics and related tasks;\n\nData analytics-related certifications;\n\nKnowledge of data storage and query technologies (e.g., SQL, NoSQL, MongoDB, Hadoop) to extract and process data at scale.\n\nKnowledge of designing scalable data storage solutions (e.g., data lakes, lakehouses, distributed stores) for advanced analytics and AI workloads.\n\nKnowledge of advanced analytics applications: forecasting, recommendation systems, anomaly detection, or sentiment analysis for business impact.\n\nKnowledge of AI governance principles (e.g., transparency, explainability, fairness, accountability) aligned with emerging EU AI Act requirements.\n\nExpertise in developing and implementing machine learning algorithms: develop and implement machine learning algorithms, statistical models, and scripts to solve specific business problems.\n\nExpertise in data processes: analysis, statistical processes and quality checks across the whole data lifecycle (collection, processing, integration, transformation, visualization, publication, …).\n\nExpertise on visualisations, trends/anomalies detection, database environment comparisons: SQL Developer, R Studio, Excel, Power BI in relation to the agriculture sector.\n\nExpertise on accessing data via APIs.\n\nExpertise in acceptance tests on data-related IT 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