Data Scientist – Level 1 (Graduate / Junior)

We are seeking a highly motivated and academically strong Data Scientist – Level 1 to join a team of talented data professionals solving complex business challenges through data, analytics, and machine learning.This opportunity is ideal for recent graduates or early-career professionals who have a strong foundation in mathematics, statistics, computer science, engineering, or a related STEM field and are eager to apply their knowledge to real-world problems.We are specifically looking for high-performing graduates who have achieved excellent academic results from reputable universities and institutions.​What You'll DoAs a Data Scientist – Level 1, you will work alongside experienced data scientists and engineers while developing your technical and problem-solving capabilities.Your responsibilities will include:Performing exploratory data analysis (EDA) to identify patterns, trends, and insightsAssisting in the design, development, and evaluation of machine learning modelsCleaning, preparing, and transforming data for analysis and modellingDeveloping analytical solutions to solve business problemsWriting clean, maintainable, and well-documented Python codeConducting statistical analysis and interpreting resultsPresenting findings and recommendations clearly to technical and non-technical stakeholdersCollaborating with cross-functional teams on data-driven initiativesContinuously learning and applying new techniques, tools, and methodologiesRequirementsBachelor's Degree (BSc, BEng, BCom Honours, BSc Honours, MSc or equivalent) in: Data Science, Computer Science, Statistics, Mathematics, Engineering, Actuarial Science, Physics Or another quantitative STEM disciplineExcellent academic record throughout university studiesDegree obtained from a recognised and reputable university or higher education institutionStrong results in mathematics, statistics, machine learning, programming, or related quantitative subjectsSolid understanding of data science and machine learning fundamentalsProficiency in PythonExperience with libraries such as: Pandas, NumPy, Scikit-learnAdvantageous SkillsExposure to machine learning projects through academic work, internships, personal projects, or competitionsExperience with SQL and relational databasesFamiliarity with cloud platforms such as AWS, Azure, or GCPExposure to TensorFlow, PyTorch, or other machine learning frameworksKnowledge of data visualisation tools such as Power BI, Tableau, or similarParticipation in Kaggle competitions, research projects, or published academic work

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