computers at various levels and data security practices Deep knowledge of data security SOX processes ITSM Focused on Data security ABOUT US EXL is the indispensable partner for leading businesses in data-led industries logistics. We bring a unique combination of data, advanced analytics, digital technology and industry industry expertise to help our clients turn data into insights, streamline operations, improve customer experience truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI
Prepares, transforms, models data and resolves conflicting sources of data and anomalies Supports the delivery including Agile ceremonies Implement methods to improve data reliability and quality Combines raw information formats Develop and test architectures that enable data extraction and transformation for predictive or Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout these guidelines and provide valuable input to develop them Requirements: Bachelor's degree in computer science, IT,
you a talented Data Engineer looking to make a significant impact? If you excel in data collection, analysis this role is to collect, clean, and analyse data to drive data-driven decision-making and support business Responsibilities: Data Collection and Cleaning: - Collect, extract, and compile data from various sources transform raw data into structured datasets for analysis. - Identify and resolve data quality issues developments in data analytics. Data Analysis and Interpretation: - Perform exploratory data analysis to
business-led data and business intelligence consultancy that empowers organisations with data-driven decision-making environments. Our expert teams apply a mastery of data and technology to craft strategies that revolutionise the role The Data Engineer is responsible for designing, building, and maintaining the data infrastructure organization's data needs. They will work closely with various teams to gather requirements, design, and and develop data pipelines, and ensure data quality and availability for analysis and reporting. Work with
technical expertise of talented Data Architect with a passion for advancing Public Health through genomic Wastewater Surveillance. The ideal candidate will require a background in Life Sciences with a solid understanding testing and debugging of software applications. REQUIREMENTS: A Life Sciences background. Strong understanding sequence formats (FASTQ etc.). Understanding of data storage (S3-Buckets). Experience with validation
Responsible for: Data Analysis Must have mature hands on exp with "End to End Credit Lifecycle" Must
goals for production databases in conjunction with data owners and department managers. Work with application disaster recovery and data archiving to ensure effective protection and integrity of data assets. Conduct research and allocate physical data storage for database systems. Plan and coordinate data migrations between systems to databases. Create, or support creation of, required reports in response to business user needs. Perform identify and manage risks within your environment. Requirements: Degree or Diploma in Information Technology
The Data Scientist works under the guidance of the Technology team and will be responsible for analyzing raw information (particularly unstructured text data) to find patterns, build models to address business problems, and present information using various data visualization techniques and platforms. Applying business problems, turning the company's volumes of big data into valuable and actionable insights. Collaborating applicable, undertaking data mining and developing and documenting robust and scalable data extraction tools
about leading a dynamic team within the realm of data and technology, and if you thrive in a collaborative for As the Urban Data Lead, you will have a pivotal role in shaping the company's data ecosystem, optimizing cross-functional teams, you will lead a team of data experts, ensuring they align with the company's degree with a focus on data science or equivalent practical experience is required, while possessing multiple multiple additional data-focused qualifications would be highly desirable. Technical proficiency in Python
We require a Data Engineer and this is an office based postion. Modifying the database structure, as performance of the database. Maintaining archived data. Contacting database vendor for technical support schema changes and implementations. Implement advanced database security features. Audit user activity policies, and procedures for data management. Define and implement alerts on data. Develop reports and ETL and procedures. Data warehousing. Will be responsible for developing ETL packages and data warehousing,