Reference: NFP014236-ASl-1 Take your data science skill set to the next level About Us: We leverage cutting-edge algorithms to address business challenges. Conduct data analysis to extract meaningful insights and trends Qualifications: Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. A Master's preferred. 5 years proven experience as an AI Analyst, Data Scientist, or similar role. Proficiency in programming scikit-learn). Strong understanding of statistical analysis, data mining, and predictive modeling. Excellent problem-solving
Configuration Management CFMG (SFIA Level 5): Plans the capture and management of CIs and related information. bench-marking and makes use of supplier performance data to ensure that performance is adequately monitored Develops standards and guidelines for implementing data protection and disaster recovery functionality for for all business applications and business data. Provides expert advice and guidance to implement and ensuring security, availability and integrity of data. 11. Facilities Management DCMA (SFIA Level 5):
Configuration Management CFMG (SFIA Level 5): Plans the capture and management of CIs and related information. bench-marking and makes use of supplier performance data to ensure that performance is adequately monitored Develops standards and guidelines for implementing data protection and disaster recovery functionality for for all business applications and business data. Provides expert advice and guidance to implement and ensuring security, availability and integrity of data. 11. Facilities Management DCMA (SFIA Level 5):
lated Requirements:
Performance Areas: Data and Flow Management: Monitor and manage system backups and Evolution data synchronization and constant data flow (Regional and Local) with minimal system "Down days" and clean data maintenance backup procedures for data integrity and conduct successful recoveries. Respond to data loss incidents, implement administration qualification essential (e.g., SQL Server). Data analysis experience. Proven experience as an IT
Developer with expertise in C# and experience in data ETL/ELT, who will play a crucial part in designing designing and implementing data ETL/ELT pipelines using tools such as Azure Data Factory, Azure Databricks similar Strong SQL skills and proficiency in data modelling, data warehousing concepts, and database optimization Familiarity with data integration patterns and techniques for handling structured and unstructured data formats
forward-thinking company specialises in utilizing geospatial data and technologies to help clients enhance their operational tailored data, insights, and innovative products across various industries, aiming to convert raw data into team and work with them to design new spatial and data related products and services with and for their be dealing with our clients
hunt for a Senior Data Engineer to join their dynamic team within the Digital and Data division. This team's team's primary focus is to build and establish the data platform capability by applying industry knowledge Engineering 5 years of data engineering experience 5 years of experience with any data warehouse technical (2) ETL Frameworks, (3) Data conformance, (4) Caching, (5) Spark (6) AWS data builds The candidate having
Degree / Diploma relating to Business Intelligence / Data Warehousing / Database Administration (advantageous) models, extracting trends and patterns from company data to address short-term insurance metrics. Present operational hours and oversee user-acceptance testing of Data Visualisation models. Administer the business intelligence meet business needs. Data Collection and Analysis: Conduct research using primary data sources to analyse Insights and Reporting: Compile and disseminate various data and analytics reports, extracting insights from
operations, optimizing business processes, and leveraging data insights and analytics to enhance performance and inefficiencies and bottlenecks. Data Insights and Analytics: Utilize data analytics tools and techniques actionable insights from the banking and mobile platform data. Develop, refine and deploy real time reporting