Job Description
For us, data is not just an asset; it’s the heartbeat of innovation and progress, fuelling our ability to drive growth on the continent we proudly call home. In an era where our world is shaped by data-led solutions, we’re at the forefront of building this critical function in our business. Our Data Science Graduate Programme puts you right at the centre of this fast-moving area, with a focus on structured training and development and a commitment to technical, personal, and professional excellence. So, who are we looking for? You’ll be hugely talented, with a strong quantitative background. You’ll also be obsessed with solving real client problems by analysing data, identifying insights, and building bespoke solutions. Bring these skills to our graduate programme, and discover how - through learning, support, and unrivalled exposure - you’ll transform your potential into impact. Here, your ambition and skill will find its match in our dedication to excellence. Key Responsibilities: Cl
Supports business integration through integrating model outputs into end-point production systems, incorporating business requirements and knowledge of best practices.
Assist the gathering of data for use in Data Science models, ensuring that chosen datasets best reflect the organisations goals. Performs data pre-processing including data manipulation, transformation, normalisation, standardisation, visualisation, and derivation of new variables/features. Utilises advanced data analytics and mining techniques to analyse data, assessing data validity and usability; reviews data results to ensure accuracy; and communicates results and insights to stakeholders.
Assists various mathematical, statistical, and simulation techniques to typically large and unstructured data sets in order to answer critical business questions and create predictive solutions which drive improvement in business outcomes. Assists analytics and insights across the organisation by developing advanced statistical models and computational algorithms based on business initiatives.
Codes, tests, and maintains scientific models and algorithms and identifies trends, patterns, and discrepancies in data and determines additional data needed to support insight. Processes, cleanses, and verifies the integrity of data used for analysis.
Use data profiling and visualisation techniques using tools to understand and explain data characteristics that will inform modelling approaches. Communicate data information to busi
