4 Unstructured Data Jobs

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Candidates with 8+ years of hands-on experience are invited to join our team as we embark on a journey to drive innovation and change through data-driven solutions. Responsibilities: - Lead and manage a team of software engineers in developing, implementing, and maintaining advanced software solutions for GenAI projects. - Engage with senior leadership and cross-functional teams to gather business requirements, identify opportunities for technological enhancements, and ensure alignment with organizational goals. - Design and implement sophisticated event-driven architectures to support real-time data processing and analysis. - Oversee the use of containerization technologies such as Kubernetes to promote efficient deployment and scalability of software applications. - Supervise the development and management of extensive data lakes, ensuring effective storage and handling of large volumes of structured and unstructured data. - Champion the use of Python as the primary programming language, setting high standards for software development within the team. - Facilitate close collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models. - Maintain a cutting-edge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually. - Translate complex business needs into robust technical solutions, contributing to strategic decision-making processes. - Establish and document software engineering processes, methodologies, and best practices, promoting a culture of excellence. - Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to industry best practices.,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Candidates with 8+ years of hands-on experience are preferred for this role. Lead and manage a team of software engineers in developing, implementing, and maintaining advanced software solutions for GenAI projects. Engage with senior leadership and cross-functional teams to gather business requirements, identify opportunities for technological enhancements, and ensure alignment with organizational goals. Design and implement sophisticated event-driven architectures to support real-time data processing and analysis. Oversee the use of containerization technologies such as Kubernetes to promote efficient deployment and scalability of software applications. Supervise the development and management of extensive data lakes, ensuring effective storage and handling of large volumes of structured and unstructured data. Champion the use of Python as the primary programming language, setting high standards for software development within the team. Facilitate close collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models. Maintain a cutting-edge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually. Translate complex business needs into robust technical solutions, contributing to strategic decision-making processes. Establish and document software engineering processes, methodologies, and best practices, promoting a culture of excellence. Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to industry best practices.,

As a Data Scientist, you will be responsible for undertaking data collection, preprocessing, and analysis to address various business problems. You will build models and utilize data visualization techniques to present information effectively. It will be your duty to identify valuable data sources and automate the collection processes. Additionally, you will be required to preprocess both structured and unstructured data, analyze large amounts of information to discover trends and patterns, and build predictive models and machine-learning algorithms. This is a full-time, permanent position with a fixed shift schedule. The work location for this role is in person.,

As a Senior Software Engineer at Clarivate, you will be an integral part of our Technology team, focusing on data engineering, ETL, and script writing to create efficient data pipelines for data cleansing and structuring processes. To excel in this role, you should hold a Bachelor's degree in computer science or possess equivalent experience. Additionally, a minimum of 3 years of Programming Experience with a strong grasp of SQL is required. Experience with ETL processes, APIs, data integration, system analysis, and design is highly valuable. You should be adept at implementing data validation and cleansing processes to maintain data integrity and proficient in pattern matching, regular expressions, XML, JSON, and other textual formats. In this position, you will be analyzing textual and binary patent data, utilizing regular expressions to extract data patterns. Writing clean, efficient, and maintainable code according to coding standards, automating tests, and unit testing all assigned tasks are key responsibilities. You will collaborate closely with Content Analysts team to design and implement mapping rules for data extraction from various file formats. Furthermore, you will liaise with cross-functional teams to understand data requirements and provide technical support. Ideally, you would have experience with cloud-based data storage and processing solutions like AWS, Azure, Google Cloud, and a strong understanding of code versioning tools such as Git. At Clarivate, you will be part of the Data Engineer team, collaborating with multiple squads comprising Data Engineers, Testers, Leads, and Release Managers to process and deliver high-quality patent data from diverse input source formats. This permanent position at Clarivate offers a hybrid work model with 9 hours of work per day, including a lunch break, providing a flexible and employee-friendly work environment. Clarivate is dedicated to promoting equal employment opportunities for all individuals in terms of hiring, compensation, promotion, training, and other employment privileges. We adhere to applicable laws and regulations to ensure non-discrimination in all locations.,