We provide data science services that specialise in applying data science techniques and methodologies to address specific business challenges or opportunities. Data science services encompass a range of activities aimed at extracting insights, patterns, and valuable information from our large and complex labour demand datasets to support decision-making, optimise processes, and drive innovation.
Our data comes from processing over 1 billion global job roles spanning 219 geographies in real-time. Continuously aggregating and analysing labour data allows us to remain updated on the skills sought by employers across various dimensions, since 2017.
Helping organisations develop data-driven strategies and roadmaps aligned with their business goals and objectives. This may involve assessing current data capabilities, identifying opportunities for improvement, and recommending data science solutions to drive value and competitive advantage.
Conducting exploratory data analysis to uncover insights and trends within datasets, using statistical techniques, machine learning algorithms, and visualisation tools. This may include identifying patterns, correlations, outliers, and predictive relationships to inform decision-making and strategic planning.
Building predictive models and forecasting algorithms to anticipate future outcomes, trends, and behaviors based on historical data. This may involve regression analysis, time series forecasting, classification, clustering, and other machine learning techniques to identify patterns and make data-driven predictions.
Creating interactive data visualisations and dashboards to communicate insights, findings, and key performance indicators (KPIs) to stakeholders effectively. This may involve using data visualisation tools and techniques to present complex information in a visually appealing and intuitive manner for better decision-making and strategic planning.
Schedule a demo with our product specialist who can answer your questions and show you the platform.
