player, have sound knowledge in both PYTHON AND JAVA. APPLY NOW Requirements: Sound knowledge in Python and and Java Data Science concepts and principles Experience in tools like pandas, SciPi, ev. Pyomo At least
Learner, Change Agility, Credit Risk Analysis, Data Science, Machine Learning, Predictive Modelling, Problem Stats/Math/Applied Maths/Financial Risk Management/Data Science/Engineering/Computer Science or related disciplines. databases is compulsory. Understanding & knowledge of predictive modelling practices, performance
supplier risk, customer risk, and third-party risk management are on a recruitment drive for a Data Scientist degree in either engineering, data science, statistics, computer science, or any other quantitative field Experience with common data science toolkits, such as SAS, R, SPSS, etc Knowledge of IT infrastructure and and data principles. Project management experience Experience with data visualisation tools, such as Power
sustainability of the group. Responsibilities: Cloud Management Coordination between development and support and simplifying requirements DevOps Experience Managing projects / processes Ability to develop within sought-after programming language Strong working knowledge with software development tools, techniques and approaches used to build application solutions Working knowledge with software development tools, techniques and drivers and emerging computing trend Very good knowledge and experience in NLP methods and customized NLU
pipelines. Responsibilities: Help streamline our data science and analytics workflows by improving data delivery particularly our reporting DB. Work closely with the data science and business intelligence teams to develop data Experience: Bachelor's degree in computer science, information technology, engineering, or related analytical
Requirements: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field 4 computing platforms (e.g., AWS, Azure, Google Cloud) Knowledge of big data technologies (e.g., Hadoop, Spark) develop metrics for measuring the success of data science initiatives Reference Number for this position
be instrumental in designing, developing, and managing scalable, secure, and robust cloud infrastructure develop, and manage scalable, secure, and robust cloud infrastructure on AWS. Implement and manage CI/CD pipelines Qualifications : Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent with Kubernetes for container orchestration and management. Strong problem-solving skills and the ability
Bachelor's Degree in Computer Science or similar fields like Information Systems, Big Data Azure Data Automation/Scheduling tools/frameworks Working knowledge of Data Ops Understanding of API-based services Understanding of basic integration concepts Basic knowledge of the Agile SAFe methodology, Software Development
maintaining the infrastructure. Help streamline data science and analytics workflows by improving data delivery Experience Bachelor's degree in computer science, information technology, engineering, or related analytical
Bachelor's degree in computer science, Information Systems, Data Management, Business Administration, or