6 Unstructured Datasets Jobs

As a member of the Analytics & Insights team at Diageo, your role will be crucial in designing, developing, and implementing analytics products to drive the company's competitive advantage and enable data-driven decisions. You will play a key part in advancing analytics sophistication within Diageo by serving as a data evangelist, identifying meaningful insights from vast data sources, and communicating findings to drive growth, enhance consumer experiences, and optimize business processes. Your responsibilities will include: - Advancing the sophistication of analytics throughout Diageo - Serving as a data evangelist to empower stakeholders - Identifying meaningful insights from vast data so...

As a member of the data engineering team at PepsiCo, you will play a crucial role in defining and prioritizing business processes related to Supply Chain, Financial, Consumer, Channel, and Category domains. Your primary responsibility will be to collaborate closely with business leads, data science team, and data engineering team to translate business requirements into technical solutions effectively. - Create high-level process models such as system interface diagrams, workflow diagrams, and data flow diagrams to represent processes within the analyzed area. - Empower the business by driving increased adoption of data, data science, and business intelligence landscape. - Identify opportunit...

Role Overview: As a member of Diageo's Analytics & Insights team, you will play a crucial role in designing, developing, and implementing analytics products to drive the company's competitive advantage and facilitate data-driven decisions. Your responsibilities will include advancing analytics sophistication throughout the organization, empowering stakeholders as a data evangelist, identifying meaningful insights from vast data sources, and communicating findings to drive growth, enhance consumer experiences, and optimize business processes. Key Responsibilities: - Support global initiatives and functions across various markets by working closely with key stakeholders to create possibilities...

As a Senior Database Administrator at NTT DATA, you will play a crucial role in ensuring the availability, integrity, and performance of complex and critical data assets. Working closely with cross-functional teams, you will support data-driven applications, troubleshoot issues, and implement robust backup and recovery strategies. Your expertise will be instrumental in controlling access to database environments through permissions and privileges. Key Responsibilities: - Install, configure, and maintain complex database management systems (DBMS) such as Oracle, MySQL, PostgreSQL, and others. - Collaborate with software developers/architects to design and optimize database schemas and data mo...

Role Overview: As an intern at the company, your day-to-day responsibilities will include: - Assisting in the design and development of artificial intelligence models for insurance risk mitigation. - Working with structured and unstructured datasets to prepare, train, and test models. - Supporting the integration of artificial intelligence modules into DigiVerifis risk assessment processes. - Conducting research on the use of artificial intelligence in fraud detection, due diligence, and other insurance-related risk areas. - Preparing documentation and presenting findings and results to the team. Qualification Required: - Strong interest in artificial intelligence and data analysis. - Pursui...

You should have hands-on experience working with Marketing Domain datasets and at least 2 years of applicable work experience in Machine Learning. With 5+ years of hands-on experience in Snowflake and 2+ years of experience on Generative AI projects, you should also possess proficiency with the Python Machine Learning stack, including Pandas, and knowledge of experimental design and analysis of results. Demonstrating experience in applying Machine Learning, both Deep Learning (PyTorch) and Classical ML (Scikit-Learn), is essential. Furthermore, you should have experience in leading Machine Learning teams to deploy and enhance ML features in production and collaborating in cross-functional te...