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277 résultats pour Data Science à Niel dans un rayon de 30 km
Curriculum Manager - Data Science and Data Engineering
Curriculum Manager - Data Science and Data Engineering
DataCamp Belgium BV
Belgium
Télétravail possible
As a Curriculum Manager - Data Science and Data Engineering, you will directly contribute to DataCamp's mission to democratize data education by helping build the best platform to learn data and AI skills. In this role, you'll work closely with expert instructors and internal stakeholders across curriculum, engineering, product, and marketing to improve and continue to expand our data science and data engineering curriculum. * Design, review, and create content covering data science and data engineering topics. * Identify and prioritize existing curriculum gaps or new topics in data science and data engineering. DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI.
As a Curriculum Manager - Data Science and Data Engineering, you will directly contribute to DataCamp's mission to democratize data education by helping build the best platform to learn data and AI skills. In this role, you'll work closely with expert instructors and internal stakeholders across curriculum, engineering, product, and marketing to improve and continue to expand our data science and data engineering curriculum. * Design, review, and create content covering data science and data engineering topics. * Identify and prioritize existing curriculum gaps or new topics in data science and data engineering. DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI.
Bachelor in Data Science, Business Analytics, Information Systems of een verwant vakgebied. CCIS is op zoek naar een Data Automation Specialist die verantwoordelijk is voor het vastleggen, structureren en automatiseren van operationele data om inzichten te genereren en continue verbeteringen door te voeren in onze depotoperaties. Je zet ruwe data om in concrete, bruikbare informatie en ondersteunt het management bij beslissingen op globaal niveau. * Verzamelen, opschonen en structureren van operationele data uit verschillende bronnen (depotmanagementsystemen, inspectietools, reparatielogs). * Zorgen voor nauwkeurige en consistente data over systemen en rapporten heen. * Identificeren van kansen voor automatisering en procesoptimalisatie op basis van data-analyse. * Minimaal 2 jaar ervaring in een data-analyse of business intelligence functie, bij voorkeur in logistiek, supply ...
Bachelor in Data Science, Business Analytics, Information Systems of een verwant vakgebied. CCIS is op zoek naar een Data Automation Specialist die verantwoordelijk is voor het vastleggen, structureren en automatiseren van operationele data om inzichten te genereren en continue verbeteringen door te voeren in onze depotoperaties. Je zet ruwe data om in concrete, bruikbare informatie en ondersteunt het management bij beslissingen op globaal niveau. * Verzamelen, opschonen en structureren van operationele data uit verschillende bronnen (depotmanagementsystemen, inspectietools, reparatielogs). * Zorgen voor nauwkeurige en consistente data over systemen en rapporten heen. * Identificeren van kansen voor automatisering en procesoptimalisatie op basis van data-analyse. * Minimaal 2 jaar ervaring in een data-analyse of business intelligence functie, bij voorkeur in logistiek, supply ...
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You will act as the bridge between data science and software engineering, ensuring that advanced AI models are not just functional, but production-ready, secure, and easily deployable. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. * Practical Experience: Hands-on work with leading technologies in cloud computing, data processing, and full-stack development.
You will act as the bridge between data science and software engineering, ensuring that advanced AI models are not just functional, but production-ready, secure, and easily deployable. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. * Practical Experience: Hands-on work with leading technologies in cloud computing, data processing, and full-stack development.
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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.
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 * 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 * 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
Advanced Analytics: Leverage Synapse Data Science and Real-Time Analytics to deliver advanced, predictive insights and utilize Data Activator for automated actions. * Knowledge of Synapse Data Science and machine learning concepts. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Lead the Data Revolution. Drive Client Success with Data & AI. Your Mission: Turning Data Insights into Impact - As a Microsoft Data Solution & Presales Architect, you are more than a technical leader—you are a visionary and evangelist. We are seeking a highly experienced Microsoft Data & AI Solution & Pre-sales Architect to not only master the Microsoft Fabric platform and related services but also to act as a and in client engagements. You will transform complex business challenges into actionable, predictive solutions, enabling data-driven ...
Advanced Analytics: Leverage Synapse Data Science and Real-Time Analytics to deliver advanced, predictive insights and utilize Data Activator for automated actions. * Knowledge of Synapse Data Science and machine learning concepts. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Lead the Data Revolution. Drive Client Success with Data & AI. Your Mission: Turning Data Insights into Impact - As a Microsoft Data Solution & Presales Architect, you are more than a technical leader—you are a visionary and evangelist. We are seeking a highly experienced Microsoft Data & AI Solution & Pre-sales Architect to not only master the Microsoft Fabric platform and related services but also to act as a and in client engagements. You will transform complex business challenges into actionable, predictive solutions, enabling data-driven ...
Leverage Data Science and Real-Time Analytics capabilities within Fabric to deliver advanced analytics and predictive insights. * Knowledge of Data Science and machine learning concepts. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. You will play a crucial role in transforming raw data into actionable insights, enabling data-driven decision-the organization. * Design, build, and maintain scalable data pipelines and data models within Microsoft Fabric, utilizing components like OneLake, Data Factory and Data Engineering. * Develop and optimize data warehousing solutions using Data Warehouse in Fabric. * Implement and manage robust data governance, security, and compliance best practices within the Fabric environment, potentially leveraging tools like Microsoft Purview.
Leverage Data Science and Real-Time Analytics capabilities within Fabric to deliver advanced analytics and predictive insights. * Knowledge of Data Science and machine learning concepts. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. You will play a crucial role in transforming raw data into actionable insights, enabling data-driven decision-the organization. * Design, build, and maintain scalable data pipelines and data models within Microsoft Fabric, utilizing components like OneLake, Data Factory and Data Engineering. * Develop and optimize data warehousing solutions using Data Warehouse in Fabric. * Implement and manage robust data governance, security, and compliance best practices within the Fabric environment, potentially leveraging tools like Microsoft Purview.
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Knowledge of EU health policies, cardiovascular diseases, data science, digital health and emerging regulatory frameworks (e.g., AI Act). * Master's degree in European studies, political science, international relations, public health, health policy, project management or related fields.
Knowledge of EU health policies, cardiovascular diseases, data science, digital health and emerging regulatory frameworks (e.g., AI Act). * Master's degree in European studies, political science, international relations, public health, health policy, project management or related fields.
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As our Business Development Manager Biometrics, you'll be the strategic force behind expanding our biometrics services (including data management and biostatistics) in the clinical research sector. * Solid understanding of clinical research, CRO operations, and biometrics (data management and/or biostatistics).
As our Business Development Manager Biometrics, you'll be the strategic force behind expanding our biometrics services (including data management and biostatistics) in the clinical research sector. * Solid understanding of clinical research, CRO operations, and biometrics (data management and/or biostatistics).
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Vrije Universiteit Brussel * Brussel * Vast contract, onbepaalde tijd * Thuiswerken mogelijk, Voltijds - Solliciteer als één van de eersten - Ben jij een ervaren payroll professional die graag verantwoordelijkheid neemt, stevig in je schoenen staat en energie haalt uit samenwerken? Dan is deze functie iets voor jou! De Vrije Universiteit Brussel staat al meer dan 50 jaar voor vrijheid, gelijk(waardig)heid en verbondenheid en dat leeft sterk op onze campussen bij zowel studenten als personeel. Bij de VUB vind je een diverse verzameling aan persoonlijkheden: innovators pur sang, maar vooral mensen die 100% hun authentieke zelf zijn. Met zo'n 4000 medewerkers zijn we de grootste Nederlandstalige werkgever, in de privésector, in Brussel; een internationale stad waarmee we ons maar al te graag verbinden en waar(rond) onze 4 campussen gelegen zijn.
Vrije Universiteit Brussel * Brussel * Vast contract, onbepaalde tijd * Thuiswerken mogelijk, Voltijds - Solliciteer als één van de eersten - Ben jij een ervaren payroll professional die graag verantwoordelijkheid neemt, stevig in je schoenen staat en energie haalt uit samenwerken? Dan is deze functie iets voor jou! De Vrije Universiteit Brussel staat al meer dan 50 jaar voor vrijheid, gelijk(waardig)heid en verbondenheid en dat leeft sterk op onze campussen bij zowel studenten als personeel. Bij de VUB vind je een diverse verzameling aan persoonlijkheden: innovators pur sang, maar vooral mensen die 100% hun authentieke zelf zijn. Met zo'n 4000 medewerkers zijn we de grootste Nederlandstalige werkgever, in de privésector, in Brussel; een internationale stad waarmee we ons maar al te graag verbinden en waar(rond) onze 4 campussen gelegen zijn.
Candidature facile
Analytical thinking and data-driven decision-making.
Analytical thinking and data-driven decision-making.
The Group places innovation at the heart of its development and specialises in Artificial Intelligence, Data Intelligence, Web3, Blockchain or IoT. 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, seamless, secureand 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. * Ensure data performance, security, and * Master's degree (or equivalent) in Computer Science, Information Systems, or related field. * Proven hands-on experience with SAP DataSphere or SAP Data Warehouse Cloud. * Solid understanding of data modeling, ETL/ELT processes, and data integration.
The Group places innovation at the heart of its development and specialises in Artificial Intelligence, Data Intelligence, Web3, Blockchain or IoT. 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, seamless, secureand 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. * Ensure data performance, security, and * Master's degree (or equivalent) in Computer Science, Information Systems, or related field. * Proven hands-on experience with SAP DataSphere or SAP Data Warehouse Cloud. * Solid understanding of data modeling, ETL/ELT processes, and data integration.
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. We are seeking a talented and passionate Databricks Data Engineer to join our expanding Data & AI team Databricks Partner (50 FTE). In this role, you will be a crucial player in designing, building, and maintaining cutting-edge data solutions on the Databricks platform. You will have the opportunity to work with a variety of clients across different industries, collaborating with both internal teams and client stakeholders to deliver high-quality data pipelines and enable data-decision-. * Data Pipeline Engineering: Design, develop, and deploy robust and scalable data pipelines using Databricks, incorporating data extraction from diverse sources (databases, APIs, streaming platforms), transformation and cleansing using Spark, and loading into target systems (data lakes, data warehouses, etc.).
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. We are seeking a talented and passionate Databricks Data Engineer to join our expanding Data & AI team Databricks Partner (50 FTE). In this role, you will be a crucial player in designing, building, and maintaining cutting-edge data solutions on the Databricks platform. You will have the opportunity to work with a variety of clients across different industries, collaborating with both internal teams and client stakeholders to deliver high-quality data pipelines and enable data-decision-. * Data Pipeline Engineering: Design, develop, and deploy robust and scalable data pipelines using Databricks, incorporating data extraction from diverse sources (databases, APIs, streaming platforms), transformation and cleansing using Spark, and loading into target systems (data lakes, data warehouses, etc.).
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Join us and be part of a dynamic and international work environment where science meets strategy, and your ideas help shape the future of energy and sustainability. • Analyze and report data/ findings clearly and promptly, documenting all relevant data for effective use across the organization
Join us and be part of a dynamic and international work environment where science meets strategy, and your ideas help shape the future of energy and sustainability. • Analyze and report data/ findings clearly and promptly, documenting all relevant data for effective use across the organization
Are you passionate about turning data into impact? This is an opportunity to work on impactful global projects and grow within a fast‑moving, data‑driven environment. Analyse business data to deliver clear, actionable insights for management teams. Contribute to projects by gathering, interpreting, and presenting key data. Education: Master's degree in science, engineering, business management, or economics. Experience in business analysis or data‑driven roles is highly valued.
Are you passionate about turning data into impact? This is an opportunity to work on impactful global projects and grow within a fast‑moving, data‑driven environment. Analyse business data to deliver clear, actionable insights for management teams. Contribute to projects by gathering, interpreting, and presenting key data. Education: Master's degree in science, engineering, business management, or economics. Experience in business analysis or data‑driven roles is highly valued.
Conduct cost analyses to identify and correct low margin services – With financial and operation data obtained from the laboratory, the PIP team modelled how P&L costs are absorbed by each test. Productivity benchmarking – In collaboration with , the PIP team gathered and standardised operational data to benchmark productivity across laboratories. Education: Final-year student in a master's degree in science, engineering or business in a top university/business school with an excellent academic track record.
Conduct cost analyses to identify and correct low margin services – With financial and operation data obtained from the laboratory, the PIP team modelled how P&L costs are absorbed by each test. Productivity benchmarking – In collaboration with , the PIP team gathered and standardised operational data to benchmark productivity across laboratories. Education: Final-year student in a master's degree in science, engineering or business in a top university/business school with an excellent academic track record.
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.
Conduct cost analyses to identify and correct low margin services – With financial and operation data obtained from the laboratory, the PIP team modelled how P&L costs are absorbed by each test. Productivity benchmarking – In collaboration with laboratory managers, the PIP team gathered and standardised operational data to benchmark productivity across laboratories. Education: Master's degree in science, Engineering or Business in a top university/business school with an excellent academic track record.
Conduct cost analyses to identify and correct low margin services – With financial and operation data obtained from the laboratory, the PIP team modelled how P&L costs are absorbed by each test. Productivity benchmarking – In collaboration with laboratory managers, the PIP team gathered and standardised operational data to benchmark productivity across laboratories. Education: Master's degree in science, Engineering or Business in a top university/business school with an excellent academic track record.
Assist in reviewing the data of forms and reports to help identify, report and resolve issues or outliers. * Reliable, trustworthy, and confident in handling both confidential and sensitive information, with strong attention to detail and commitment to data accuracy.
Assist in reviewing the data of forms and reports to help identify, report and resolve issues or outliers. * Reliable, trustworthy, and confident in handling both confidential and sensitive information, with strong attention to detail and commitment to data accuracy.
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.
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
You'll analyse data and trends to guide strategic decisions, drive process improvements, and track progress across key initiatives. This internship is based inBrusselsand offers a unique opportunity to work alongside experienced professionals in marketing, talent acquisition, and data analytics.
You'll analyse data and trends to guide strategic decisions, drive process improvements, and track progress across key initiatives. This internship is based inBrusselsand offers a unique opportunity to work alongside experienced professionals in marketing, talent acquisition, and data analytics.
Conduct cost analyses to identify and correct low margin services – With financial and operation data obtained from the laboratory, the PIP team modelled how P&L costs are absorbed by each test. Productivity benchmarking – In collaboration with , the PIP team gathered and standardised operational data to benchmark productivity across laboratories. Education: Master's degree in science, Engineering or Business in a top university/business school with an excellent academic track record.
Conduct cost analyses to identify and correct low margin services – With financial and operation data obtained from the laboratory, the PIP team modelled how P&L costs are absorbed by each test. Productivity benchmarking – In collaboration with , the PIP team gathered and standardised operational data to benchmark productivity across laboratories. Education: Master's degree in science, Engineering or Business in a top university/business school with an excellent academic track record.
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The in-depth technical knowledge of our and our specialised centres of expertise in lighting, multi-energy (from solar panels to charging stations), data and industry. Education: Degree in Computer Science or equivalent experience. * Basic knowledge of SQL (queries, data manipulation). * Interest in ERP environments (sales, invoicing, product/customer master data).
The in-depth technical knowledge of our and our specialised centres of expertise in lighting, multi-energy (from solar panels to charging stations), data and industry. Education: Degree in Computer Science or equivalent experience. * Basic knowledge of SQL (queries, data manipulation). * Interest in ERP environments (sales, invoicing, product/customer master data).
-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.