teams to understand business problems, develop models that drives automation, predictive analytics, advanced external data providers. Design and implement data modelling, data mining, and machine learning algorithms maintain predictive and prescriptive analytical models to support decision-making and drive business value and data transformation to prepare data for modelling and analysis. Utilize data visualization techniques audiences. Continuously evaluate and optimize existing models, algorithms, and data sources to improve accuracy
configuration. Hands-on knowledge on UNIX commands, shell scripts, Database SQL, DB Indexing, etc. Hands-on knowledge
to business processes, technologies and systems. Hands-on experience identifying problems at an early stage practices (e.g., Prosci, ADKAR, Kotter's 8-Step Model). Market Related.
improvement, slopes stability, embankments, groundwater modelling and dewatering, deep excavations, earthquake engineering
support high performing ML algorithms, predictive models and support real-time data visualisation requirements Agile methodology Knowledge of retail industry data models Advanced knowledge of compliance and IT governance
protection Motors and drives Power system studies/modelling /simulations using DigSilent Powerfactory Must
Waterfall) and techniques (e.g., process modelling, data modelling, use case analysis). Excellent analytical
Waterfall) and techniques (e.g., process modelling, data modelling, use case analysis). Excellent analytical
abilities. Proficiency in data analysis, cost modelling, and spend management tools and techniques. Strong
Senior Developer and a Solution Architect, with a hands-on approach to complex development tasks. The Technical