{"id":3847100,"url":"https://alion.io/job/network-it-graduate-data-scientist","title":"Graduate Data Scientist","company":{"id":4497060,"name":"Network IT","domain":null,"url":"https://alion.io/company/network-it-2","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Stellenbosch, South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-22T08:01:14Z","employer_posted_date":null,"last_verified_at":"2026-10-22T08:01:14Z","board_verified":false,"closed_at":null,"days_open":16,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":16},"description":"Reference: ITE008138-Danni-1\n\nAre you a recent graduate or early-career professional passionate about turning data into meaningful insights? We're looking for a Graduate Data Scientist to join a growing analytics team that supports data-driven decision-making within the financial services sector.\nThis is an exciting opportunity to work with real-world datasets, build machine learning models, develop dashboards, and solve complex business challenges such as fraud detection, customer retention, portfolio optimization, and process automation.\nIf you're eager to learn, thrive on problem-solving, and want to apply your technical skills in a fast-paced professional environment, we'd love to hear from you.\nDuties & Responsibilities\nWhat You'll Be Doing\nData Exploration & Preparation\n\nCollect, clean, and transform large datasets from various sources.\n\nWork with both structured and unstructured data to ensure quality, consistency, and usability.\n\nSupport the development and maintenance of data pipelines and analytical datasets.\n\nMachine Learning & Analytics\n\nAssist in building and testing machine learning models.\n\nContribute to feature engineering and model improvement initiatives.\n\nSupport the implementation of anomaly detection and predictive analytics solutions.\n\nEvaluate model performance and document key findings.\n\nReporting & Visualisation\n\nCreate interactive dashboards and reports using Power BI.\n\nTranslate complex analyses into clear, actionable business insights.\n\nPresent findings to both technical and non-technical stakeholders.\n\nCollaboration & Innovation\n\nPartner with analysts, engineers, and business teams to understand data requirements.\n\nContribute to automation and process improvement projects.\n\nHelp develop solutions that improve operational efficiency and decision-making.\n\nContinuous Learning\n\nStay up to date with emerging tools, technologies, and industry trends.\n\nContinuously explore new approaches to analytics and machine learning.\n\nWhat We're Looking For\nQualifications\n\nBachelor's degree in:\n\nData Science\n\nStatistics\n\nComputer Science\n\nMathematics\n\nEconomics\n\nFinance\n\nOr a related quantitative field\n\nRecent graduates and candidates with up to 2 years' experience are encouraged to apply.\nTechnical Skills\n\nWorking knowledge of Python (Pandas, Scikit-learn, Matplotlib or similar libraries).\n\nFamiliarity with SQL and basic database concepts.\n\nExperience with Power BI, Excel, or other reporting tools.\n\nUnderstanding of data analysis and machine learning fundamentals.\n\nAdvantageous Experience\n\nExposure to Git or version control tools.\n\nKnowledge of cloud platforms and data engineering concepts.\n\nExperience with financial or transactional data.\n\nWhy Join Us?\n\nWork on real business problems using modern data science techniques.\n\nGain exposure to machine learning, financial analytics, business intelligence, and automation.\n\nCollaborate with experienced professionals in a supportive learning environment.\n\nAccelerate your professional growth through practical, hands-on 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