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186 résultats pour Data Science à Kessel Lo dans un rayon de 30 km
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Scientific Education Manager (m/f/x)* Dental Solutions EMEA
Scientific Education Manager (m/f/x)* Dental Solutions EMEA
Solventum GmbH
Diegem
Télétravail possible
As a new company with a long legacy of creating breakthrough solutions for our customers- toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best.
As a new company with a long legacy of creating breakthrough solutions for our customers- toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best.
NOUVEAU
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Candidature facile
Vous disposez d'une formation supérieure en informatique, data science, ingénierie, mathématiques appliquées, statistiques ou dans un domaine équivalent. Dans le cadre du développement de ses activités et de sa transformation digitale, l'Etude Leroy & Partners souhaite renforcer son équipe Informatique & Technologies par le recrutement d'un Data & AI Engineer. Le Data & AI Engineer contribue à la mise en place de solutions fiables de reporting, de Business Intelligence et d'intelligence artificielle, afin de soutenir la prise de décision, d'améliorer l'efficacité opérationnelle et d'accompagner l'évolution des processus internes. En tant que Data & AI Engineer, vous assurez la collecte, l'intégration, la transformation et la modélisation des données issues des différentes applications de l'entreprise. * Accompagner les utilisateurs dans l'adoption des solutions Data, BI et IA.
Vous disposez d'une formation supérieure en informatique, data science, ingénierie, mathématiques appliquées, statistiques ou dans un domaine équivalent. Dans le cadre du développement de ses activités et de sa transformation digitale, l'Etude Leroy & Partners souhaite renforcer son équipe Informatique & Technologies par le recrutement d'un Data & AI Engineer. Le Data & AI Engineer contribue à la mise en place de solutions fiables de reporting, de Business Intelligence et d'intelligence artificielle, afin de soutenir la prise de décision, d'améliorer l'efficacité opérationnelle et d'accompagner l'évolution des processus internes. En tant que Data & AI Engineer, vous assurez la collecte, l'intégration, la transformation et la modélisation des données issues des différentes applications de l'entreprise. * Accompagner les utilisateurs dans l'adoption des solutions Data, BI et IA.
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Bachelor's or Master's degree in Computer Science, AI, Data Science, or similar. You will work closely with Operations, IT, Data, and Digital teams, while strictly adhering to AI governance frameworks (GDPR, EU AI Act, Generali Group standards). * Build end-to-end AI pipelines from prototype to production (data → model → integration → monitoring) * Understanding of data governance, GDPR, and responsible AI principles.
Bachelor's or Master's degree in Computer Science, AI, Data Science, or similar. You will work closely with Operations, IT, Data, and Digital teams, while strictly adhering to AI governance frameworks (GDPR, EU AI Act, Generali Group standards). * Build end-to-end AI pipelines from prototype to production (data → model → integration → monitoring) * Understanding of data governance, GDPR, and responsible AI principles.
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Promote best practices in actuarial modelling, data science and pricing governance. Our client is a leading insurance company committed to innovation, customer-centricity and data-driven decision-making. Working closely with Product Management, Underwriting, Finance, Data and IT teams, you will leverage actuarial modelling and advanced analytics to support strategic pricing decisions, improve portfolio profitability and maintain market competitiveness. * Continuously improve pricing methodologies through advanced analytics and data-driven insights. * Master's degree in Actuarial Science, Mathematics, Statistics, Engineering, Economics or another quantitative discipline. * Advanced knowledge of Python, SQL and Excel; experience with cloud-based data environments is considered an asset. * Strong analytical mindset with the ability to challenge assumptions and translate data into business value.
Promote best practices in actuarial modelling, data science and pricing governance. Our client is a leading insurance company committed to innovation, customer-centricity and data-driven decision-making. Working closely with Product Management, Underwriting, Finance, Data and IT teams, you will leverage actuarial modelling and advanced analytics to support strategic pricing decisions, improve portfolio profitability and maintain market competitiveness. * Continuously improve pricing methodologies through advanced analytics and data-driven insights. * Master's degree in Actuarial Science, Mathematics, Statistics, Engineering, Economics or another quantitative discipline. * Advanced knowledge of Python, SQL and Excel; experience with cloud-based data environments is considered an asset. * Strong analytical mindset with the ability to challenge assumptions and translate data into business value.
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Candidature facile
Education: Ongoing Bachelor's or Master's degree in Engineering, Data Science, IT, Business Engineering, or a related field - Within Bosch, the AI Lighthouse initiative focuses on accelerating digital transformation by leveraging data and artificial intelligence in a manufacturing environment. The objective is to drive innovation, enhance process efficiency, and enable data-driven decision-making across operations. As an intern within the AI Lighthouse, you will support ongoing projects at the intersection of data engineering, digitalization, and manufacturing processes. * Act as a contact point for data-related topics across stakeholders. * Interface with manufacturing teams to align data solutions with operational needs. * Support data engineering activities, including data structuring and flow development. * Contribute to the development of mainstream data flows and engineering processes.
Education: Ongoing Bachelor's or Master's degree in Engineering, Data Science, IT, Business Engineering, or a related field - Within Bosch, the AI Lighthouse initiative focuses on accelerating digital transformation by leveraging data and artificial intelligence in a manufacturing environment. The objective is to drive innovation, enhance process efficiency, and enable data-driven decision-making across operations. As an intern within the AI Lighthouse, you will support ongoing projects at the intersection of data engineering, digitalization, and manufacturing processes. * Act as a contact point for data-related topics across stakeholders. * Interface with manufacturing teams to align data solutions with operational needs. * Support data engineering activities, including data structuring and flow development. * Contribute to the development of mainstream data flows and engineering processes.
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Candidature facile
Act as a strategic to client Data Science teams, helping them navigate their challenges and aspirations. * Possess foundational knowledge of Data Science, including sampling techniques and evaluation metrics. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Are you passionate about data-driven platforms, machine learning models, and innovative applications? As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. * Platform Setup: Design and implement robust data platforms using Azure, AWS or Google Cloud and Databricks. * Data Management: Gather, prepare, and manage data for analysis. * Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python. * Inspire clients with new data-driven opportunities.
Act as a strategic to client Data Science teams, helping them navigate their challenges and aspirations. * Possess foundational knowledge of Data Science, including sampling techniques and evaluation metrics. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Are you passionate about data-driven platforms, machine learning models, and innovative applications? As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. * Platform Setup: Design and implement robust data platforms using Azure, AWS or Google Cloud and Databricks. * Data Management: Gather, prepare, and manage data for analysis. * Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python. * Inspire clients with new data-driven opportunities.
Contribute to building and improving our platform for learning Data Science and Artificial Intelligence. DataCamp powers data and AI transformation. With DataCamp, individuals, teams, and organizations of any size can learn the data and AI skills they need to thrive in the 21st century. With over 17M learners and 6,000+ organizations learning daily, DataCamp is a market leader in bridging the data and AI skills gap. Whether you're fostering enterprise-wide data and AI literacy, developing core data skills, adopting generative AI, switching data warehouses, or navigating the cloud transition—DataCamp offers tailored learning programs to meet your organization's unique needs.
Contribute to building and improving our platform for learning Data Science and Artificial Intelligence. DataCamp powers data and AI transformation. With DataCamp, individuals, teams, and organizations of any size can learn the data and AI skills they need to thrive in the 21st century. With over 17M learners and 6,000+ organizations learning daily, DataCamp is a market leader in bridging the data and AI skills gap. Whether you're fostering enterprise-wide data and AI literacy, developing core data skills, adopting generative AI, switching data warehouses, or navigating the cloud transition—DataCamp offers tailored learning programs to meet your organization's unique needs.
Candidature facile
5+ years of experience in a data science or machine learning role - We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. We are seeking a highly motivated and experienced Senior Data Scientist - ML Engineer to join our growing Data & AI team (50 - You will collaborate with other data scientists, engineers, and consultants to deliver innovative and impactful solutions that address our ' business . * Build and maintain data pipelines for data ingestion, processing, and transformation * Contribute to the development of Devoteam's data * Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, or a related field * Experience with big data technologies such as Hadoop, Spark, or Hive * Work with innovative and impactful Cloud, Data & AI projects for industry-leading clients
5+ years of experience in a data science or machine learning role - We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. We are seeking a highly motivated and experienced Senior Data Scientist - ML Engineer to join our growing Data & AI team (50 - You will collaborate with other data scientists, engineers, and consultants to deliver innovative and impactful solutions that address our ' business . * Build and maintain data pipelines for data ingestion, processing, and transformation * Contribute to the development of Devoteam's data * Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, or a related field * Experience with big data technologies such as Hadoop, Spark, or Hive * Work with innovative and impactful Cloud, Data & AI projects for industry-leading clients
Education: Degree in Business Management, Finance, Data Science, or equivalent. Inoopa is a Belgian tech company based in Brussels (Ixelles) focused on unlocking the power of data for businesses. Our mission revolves around B2B lead generation, data enrichment, and cutting-edge R&D for enterprise and corporate clients. We offer the perfect environment for data engineers who are passionate about solving complex problems, and who thrive in a collaborative yet independent setting. * Maintain regular follow-ups with clients to understand their needs and ensure the timely delivery of data solutions. Data Quality Management * Conduct benchmarking to assess and enhance the quality of Inoopa's data offerings compared to industry standards. * Collaborate with internal teams to identify and resolve data inconsistencies or errors.
Education: Degree in Business Management, Finance, Data Science, or equivalent. Inoopa is a Belgian tech company based in Brussels (Ixelles) focused on unlocking the power of data for businesses. Our mission revolves around B2B lead generation, data enrichment, and cutting-edge R&D for enterprise and corporate clients. We offer the perfect environment for data engineers who are passionate about solving complex problems, and who thrive in a collaborative yet independent setting. * Maintain regular follow-ups with clients to understand their needs and ensure the timely delivery of data solutions. Data Quality Management * Conduct benchmarking to assess and enhance the quality of Inoopa's data offerings compared to industry standards. * Collaborate with internal teams to identify and resolve data inconsistencies or errors.
Candidature facile
Bachelor's or Master's degree in Computer Science, AI/Data Science, Engineering, or a related field, or equivalent practical experience. * Responsible AI & Security: Implement responsible-AI guardrails, data privacy, and security controls (Amazon Bedrock Guardrails, IAM, encryption, PII handling) and ensure compliance with relevant frameworks (e.g., ISO 27001, GDPR, EU AI Act). * Collaboration & Communication: Collaborate with data, platform, and software engineering teams, and communicate clearly with both technical and non-technical stakeholders. * Experience developing traditional (classical) machine learning models — such as classification, regression, forecasting, or clustering — and managing their lifecycle on Amazon SageMaker (data preparation, training, deployment, and monitoring).
Bachelor's or Master's degree in Computer Science, AI/Data Science, Engineering, or a related field, or equivalent practical experience. * Responsible AI & Security: Implement responsible-AI guardrails, data privacy, and security controls (Amazon Bedrock Guardrails, IAM, encryption, PII handling) and ensure compliance with relevant frameworks (e.g., ISO 27001, GDPR, EU AI Act). * Collaboration & Communication: Collaborate with data, platform, and software engineering teams, and communicate clearly with both technical and non-technical stakeholders. * Experience developing traditional (classical) machine learning models — such as classification, regression, forecasting, or clustering — and managing their lifecycle on Amazon SageMaker (data preparation, training, deployment, and monitoring).
NOUVEAU
Nous avons étendu votre recherche à plus de 176 offres d’emploi similaires.
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Senior Customer & Application Development Engineer - Coatings
Senior Customer & Application Development Engineer - Coatings
Exxon Mobil Corporation
Machelen, BE, 1831
Co-author promotional brochures and technical data sheets highlighting performance benefits. * B.S. or graduate degree in Engineering, Chemistry, Chemical Engineering or Material Science
Co-author promotional brochures and technical data sheets highlighting performance benefits. * B.S. or graduate degree in Engineering, Chemistry, Chemical Engineering or Material Science
NOUVEAU
Working closely with , operational and business teams, you will play a key role in ensuring data quality, supporting complex actuarial analyses and enhancing reporting processes through automation and process optimisation. This role is ideal for an actuary who enjoys combining technical expertise, data analysis and business collaboration within a dynamic environment. * Ensure the consistency and reliability of actuarial data and calculations. Regulatory Reporting & Data Quality * Perform detailed data quality controls and investigate inconsistencies. * Perform regular reviews of actuarial assumptions, technical provisions and portfolio data. * Identify operational risks, data issues and process inefficiencies. * Contribute to transformation projects involving actuarial models, reporting and data management. * Master's degree in Actuarial Science, Mathematics or another quantitative discipline.
Working closely with , operational and business teams, you will play a key role in ensuring data quality, supporting complex actuarial analyses and enhancing reporting processes through automation and process optimisation. This role is ideal for an actuary who enjoys combining technical expertise, data analysis and business collaboration within a dynamic environment. * Ensure the consistency and reliability of actuarial data and calculations. Regulatory Reporting & Data Quality * Perform detailed data quality controls and investigate inconsistencies. * Perform regular reviews of actuarial assumptions, technical provisions and portfolio data. * Identify operational risks, data issues and process inefficiencies. * Contribute to transformation projects involving actuarial models, reporting and data management. * Master's degree in Actuarial Science, Mathematics or another quantitative discipline.
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You manage and optimize the Microsoft tools associated with the LMS365 platform (i.e., PowerBi, PowerApps, SharePoint, …) to ensure access to LMS365 data for reporting and to assure an excellent user experience throughout the learning & development process. * You identify opportunities for (continuous) improvement based on user feedback, data insights resulting from annual review process and talent review process and your own experience & expertise.
You manage and optimize the Microsoft tools associated with the LMS365 platform (i.e., PowerBi, PowerApps, SharePoint, …) to ensure access to LMS365 data for reporting and to assure an excellent user experience throughout the learning & development process. * You identify opportunities for (continuous) improvement based on user feedback, data insights resulting from annual review process and talent review process and your own experience & expertise.
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Perform sales analysis, reporting, and forecasting, contributing to budgeting and strategic planning, while maintaining CRM/ERP data.
Perform sales analysis, reporting, and forecasting, contributing to budgeting and strategic planning, while maintaining CRM/ERP data.
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Candidature facile
Monitor Quality Key Performance Indicators and support management decision-making through data-driven insights
Monitor Quality Key Performance Indicators and support management decision-making through data-driven insights
Candidature facile
The Group places innovation at the heart of its development and specialises inArtificial Intelligence, Data Intelligence, Web3, Blockchain or IoT. In this context, we are looking for aConsultant Data & Analytics SAP - Datasphere / BDCto join Talan. We are looking for an experienced SAP Engineer specialized in DataSphere to join our team and support our data-driven transformation projects. You will play a key role in designing, implementing, and optimizing solutions based on SAP DataSphere, ensuring seamless, secure, and efficient data management across the organization. * Integrate multiple data sources (SAP and non-SAP) into the DataSphere ecosystem. * Build and maintain scalable, reliable, and future-proof data models. * Collaborate with business stakeholders, data engineers, and analysts to translate functional needs into technical solutions. * Ensure data performance, security, and governance.
The Group places innovation at the heart of its development and specialises inArtificial Intelligence, Data Intelligence, Web3, Blockchain or IoT. In this context, we are looking for aConsultant Data & Analytics SAP - Datasphere / BDCto join Talan. We are looking for an experienced SAP Engineer specialized in DataSphere to join our team and support our data-driven transformation projects. You will play a key role in designing, implementing, and optimizing solutions based on SAP DataSphere, ensuring seamless, secure, and efficient data management across the organization. * Integrate multiple data sources (SAP and non-SAP) into the DataSphere ecosystem. * Build and maintain scalable, reliable, and future-proof data models. * Collaborate with business stakeholders, data engineers, and analysts to translate functional needs into technical solutions. * Ensure data performance, security, and governance.
Oversee integration between the e-commerce platform, LIMS, finance, stock, and supply chain systems, ensuring seamless data flow and process automation. * Bachelor's degree in Computer Science, Information Systems, Business, or a related field. * Familiarity with data privacy regulations (GDPR, HIPAA) and compliance frameworks. * Strong analytical skills with experience in data-driven decision making.
Oversee integration between the e-commerce platform, LIMS, finance, stock, and supply chain systems, ensuring seamless data flow and process automation. * Bachelor's degree in Computer Science, Information Systems, Business, or a related field. * Familiarity with data privacy regulations (GDPR, HIPAA) and compliance frameworks. * Strong analytical skills with experience in data-driven decision making.
NOUVEAU
Candidature facile
Cutting-edge Data & Analytics: We master modern data architectures through deep expertise in SAP Datasphere, BW/4HANA, and SAP Analytics Cloud (SAC). * Cloud Innovation: We integrate AI and Data Intelligence within the SAP environment to transform data into a true performance lever. * Cloud Migration: Support the transition to S/4HANA (Public or Private Cloud) by ensuring data mapping and flow integrity via SAP Datasphere or SAP Integration Suite. * Bachelor's or Master's degree in Information Systems, Computer Science, or a related field.
Cutting-edge Data & Analytics: We master modern data architectures through deep expertise in SAP Datasphere, BW/4HANA, and SAP Analytics Cloud (SAC). * Cloud Innovation: We integrate AI and Data Intelligence within the SAP environment to transform data into a true performance lever. * Cloud Migration: Support the transition to S/4HANA (Public or Private Cloud) by ensuring data mapping and flow integrity via SAP Datasphere or SAP Integration Suite. * Bachelor's or Master's degree in Information Systems, Computer Science, or a related field.
NOUVEAU
Education: Scientific, engineering or business degree from a top university; life science and chemistry degrees (e.g. biology, biochemistry, biotechnology), or profiles mixing science and business, are a particular plus, along with an excellent student track record. * Excellent working knowledge of data analysis and visualization tools: Excel (advanced), Access DB, Microsoft Power BI, SQL, python (Pandas, Tensorflow, etc.), etc
Education: Scientific, engineering or business degree from a top university; life science and chemistry degrees (e.g. biology, biochemistry, biotechnology), or profiles mixing science and business, are a particular plus, along with an excellent student track record. * Excellent working knowledge of data analysis and visualization tools: Excel (advanced), Access DB, Microsoft Power BI, SQL, python (Pandas, Tensorflow, etc.), etc
Candidature facile
Your primary focus will beto achieve hiringtargets while ensuring an efficient, data-driven recruitment process anda positivestakeholder experience * Ensure data quality and process compliance within the Applicant Tracking System (ATS). * Contribute to recruitment reports andleveragehiring data toidentifytrends,bottlenecksand opportunities for continuous improvement. You enjoy building talent pipelines, influencing hiring decisions, and driving recruitment outcomes through a structured and data-driven approach.
Your primary focus will beto achieve hiringtargets while ensuring an efficient, data-driven recruitment process anda positivestakeholder experience * Ensure data quality and process compliance within the Applicant Tracking System (ATS). * Contribute to recruitment reports andleveragehiring data toidentifytrends,bottlenecksand opportunities for continuous improvement. You enjoy building talent pipelines, influencing hiring decisions, and driving recruitment outcomes through a structured and data-driven approach.
Security Engineer/Analyst - Brussels, Ham, Pelt or Ypres
Security Engineer/Analyst - Brussels, Ham, Pelt or Ypres
Tessenderlo Group NV
Ixelles
Télétravail possible
Candidature facile
Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience). * Strong analytical ability to consolidate data from multiple sources into clear insights.
Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience). * Strong analytical ability to consolidate data from multiple sources into clear insights.
-Data Protection with Microsoft Purview * Bachelor's degree in Computer Science, Cyber Security, Information Security, Engineering, Information Technology, or related studies.
-Data Protection with Microsoft Purview * Bachelor's degree in Computer Science, Cyber Security, Information Security, Engineering, Information Technology, or related studies.
NOUVEAU
• Use data insights to adjust strategies and improve performance. Education: Bachelor's degree in Sales, business, marketing, Environmental Science, or related fields
• Use data insights to adjust strategies and improve performance. Education: Bachelor's degree in Sales, business, marketing, Environmental Science, or related fields
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Requirements gathering, functional requirements, user stories, and documentation business/data/application/technology architectures, requirements and business rules * Business process models/design, logical data models, standards and guidance * Bachelor's degree required; major in MIS, Computer Science, Finance, EconomicsBusiness or Financial Engineering preferred
Requirements gathering, functional requirements, user stories, and documentation business/data/application/technology architectures, requirements and business rules * Business process models/design, logical data models, standards and guidance * Bachelor's degree required; major in MIS, Computer Science, Finance, EconomicsBusiness or Financial Engineering preferred
Candidature facile
Your primary focus will beto achieve hiringtargets while ensuring an efficient, data-driven recruitment process anda positivestakeholder experience * Ensure data quality and process compliance within the Applicant Tracking System (ATS). * Contribute to recruitment reports andleveragehiring data toidentifytrends,bottlenecksand opportunities for continuous improvement. You enjoy building talent pipelines, influencing hiring decisions, and driving recruitment outcomes through a structured and data-driven approach.
Your primary focus will beto achieve hiringtargets while ensuring an efficient, data-driven recruitment process anda positivestakeholder experience * Ensure data quality and process compliance within the Applicant Tracking System (ATS). * Contribute to recruitment reports andleveragehiring data toidentifytrends,bottlenecksand opportunities for continuous improvement. You enjoy building talent pipelines, influencing hiring decisions, and driving recruitment outcomes through a structured and data-driven approach.