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LSEG is seeking an Associate-Accounts Payable with expertise for their Bangalore office. Managing daily supplier payments, costs, and invoice processing is the primary responsibility of the appointed applicant for this position. The position will also assist with reporting and user follow-up to guarantee that related processes, procedures, and operational controls are followed by the entire organization.
Employing your robust Python programming abilities, work with our data team to create and execute data-driven solutions. To support our growth goal, analyze intricate datasets to unearth insightful information and communicate discoveries to stakeholders. To provide accurate and reliable data for effective reporting and analysis, and help with the creation and upkeep of data pipelines. Ensuring dependable data sources and enhancing data governance requires comprehensive data validation and quality checks. Better decision-making across departments may be facilitated by using MS Excel's sophisticated features to generate intelligent reports and visuals.
Banks, NBFCs, and other financial institutions can use Signzy's digital onboarding service. The majority of banking services are now available online, but regulatory compliance is a crucial activity that is still done offline and negatively impacts customer experience. Despite the heightened risk associated with digital, there is a temptation to dilute digital KYC. At Signzy, we think that we can guarantee digital compliance is both convenient and safe by combining blockchain technology with artificial intelligence.
Accountabilities Interpret information, use statistical methods for results analysis, and provide continuing reports. Create and put into practice databases, methods for gathering data, data analytics, and other techniques that maximize the quality and efficiency of statistics. Gather information from primary or secondary sources, and keep databases and data systems up to date. Finding, evaluating, and deciphering patterns or trends in large, intricate data sets Examine computer reports, printouts, and performance indicators to filter and clean data and identify and fix any code issues.
Work together as a team to collect and sanitize data from several sources. Utilizing SQL and Python, do statistical analysis and create prediction models. Utilizing Tableau and Power BI, create dynamic dashboards and visuals. Support the procedures for data validation and quality assurance. Determine useful insights by analyzing data trends and patterns. Assist the group in producing reports and providing stakeholders with the results.
Gathering useful information from data and helping program, sales, and marketing managers create data-driven procedures will be your duties as a Data Scientist Intern. Organizing projects to maximize revenue and operational excellence will be a part of your job. Essential Competencies Accountabilities: Guarantee seamless data transfer from origin to destination for processing
Gathering useful information from data and helping program, sales, and marketing managers create data-driven procedures will be your duties as a Data Scientist Intern. Organizing projects to maximize revenue and operational excellence will be a part of your job. Essential Competencies Accountabilities: Guarantee seamless data transfer from origin to destination for processing
Upgrading and improving the current data. data extraction from many databases and search engines. obtaining data in the necessary format in Google Sheets or Microsoft Excel. extensive use of the internet to get necessary facts or information. Verification and certification of study data
Research, examine, and automate processes using important data from BMS. Handle both organized and unstructured data preparation. To find trends and patterns, go over a lot of data. offer advice to the R&D staff."- Build machine learning algorithms and prediction models. Utilize data visualization techniques to arrange and display information. In concert with the technical and product development teams, ascertain
Multiple small- and large-scale datasets in the fields of education, health, taxes, and other social areas are managed. systematically recording and updating each accessible dataset's information, or its context and contents. assistance in utilizing statistical software and languages, such as R, Python, or Stata, for data cleaning and analysis. assistance with relevant data visualization and participation in external briefings, reports, and presentations. carrying out desk research on different subjects and initiatives, or offering support for writing assignments.
Recognize, evaluate, and decipher patterns or trends in intricate data sets. overseeing the production, modification, and removal of master data. creating reports and analyses with assistance. troubleshooting reports and the reporting database environment. assessing updates and modifications to the source production systems.
introducing new dashboards and reports to end users. offering technological know-how in data mining, data cleaning, and data storage systems. gaining knowledge about how various big data sources are integrated
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