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Results for data science in "data science" in Jobs in Gauteng in Gauteng
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Our client is seeking a highly skilled Data Scientist to extract, analyse, and transform large datasets into actionable business insights. In this role, you will work with multiple data sources, apply advanced statistical methodologies, build predictive models, and use modern data technologies to drive strategic decision-making. You will also contribute to database structuring, engage with internal and external stakeholders, and communicate insights across both technical and nonâ??technical audiences. This role combines statistical expertise, programming capability, business acumen, and the ability to translate data into real organisational value.Requirements:Bachelors degree in Computer Science, Mathematics, Statistics, Engineering, Actuarial Science, or a related fieldFluency in Python, SQL, and R (core requirement)4 years of experience in data science, data warehousing, or modelling environmentsStrong understanding of software languages and infrastructureExperience working with, analysing, and modelling large datasetsInsurance industry exposure and actuarial understanding are highly advantageousBeneficial programming knowledge: C#.NET, C, C++, and Visual BasicApply now!
https://www.jobplacements.com/Jobs/D/Data-Scientist-1254868-Job-Search-01-22-2026-00-00-00-AM.asp?sid=gumtree
2d
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This is an entry-level research role ideal for recent MSc or PhD graduates who love lab work, data, and turning science into insight.Melrose, JohannesburgKey ResponsibilitiesResearch and test battery materials (cathodes, anodes, electrolytes)Design and run laboratory experiments and material characterizationAnalyse experimental data using statistical tools, AI techniques, or Power BISupport electrochemical testing and interpret performance resultsPrepare technical reports and research documentationCollaborate with R&D, data, and manufacturing teamsStay current with battery technology and materials science trendsMinimum RequirementsMSc or PhD in Chemistry, Materials Science, Electrochemistry, or similar1 year research or industry experienceStrong understanding of battery chemistryExposure to data analysis, AI/ML concepts, or Power BISolid lab safety knowledge and research disciplineNice-to-HavesBattery characterization techniques (XRD, SEM, TEM, BET)Python or MATLAB for data analysisStrong analytical and problem-solving skills
https://www.jobplacements.com/Jobs/B/Battery-Materials-Research-Engineer-Energy-Storage-1253608-Job-Search-1-21-2026-7-11-39-AM.asp?sid=gumtree
4d
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What Youll Do:Collect, clean, and transform financial dataAssist with building and refining machine learning modelsSupport anomaly detection and automation toolsCreate impactful dashboards and reports in Power BICollaborate with Engineers, Analysts, and business teamsIdentify ways to improve data workflows and insightsWhat Youll Bring:A Degree in Data Science, Statistics, Finance, Computer Science, or a related field02 years experience (interns welcome!)Proficiency in Python (pandas, matplotlib, and scikit-learn)Basic SQL and familiarity with Power BI and ExcelStrong analytical thinking and communication skillsIf youre ready to launch your career in data science, then apply today.
https://www.jobplacements.com/Jobs/J/Junior-Data-Scientist-1249817-Job-Search-01-09-2026-04-14-01-AM.asp?sid=gumtree
12d
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Our client is the leading provider of cell captive and alternative risk transfer solutions, enabling organisations to manage risk more effectively and innovate with confidence. Their unique structures allow clients to operate their own insurance products within a secure, ring-fenced environment without the complexity of establishing a licensed insurer. This role offers genuine strategic influence. Youll embed a data-driven culture across the organisation, guide senior decision-making, and work with modern cloud-based technologies in a progressive, future-focused environment. This is a senior leadership position where your expertise will directly shape the future of data, analytics, and governance across the enterprise. Youll define standards, influence investment decisions, and ensure that data is trusted, compliant, and commercially valuable.Key Responsibilities: Define and drive the enterprise-wide data and analytics strategy, aligned to business objectivesLead and embed robust data governance, quality, and compliance frameworks across all business unitsEstablish and enforce data architecture standards to ensure consistency, transparency, and scalabilityBuild, mentor, and lead a high-performing data and analytics team, fostering accountability and collaborationPartner with senior stakeholders to translate business priorities into scalable data solutionsJob Experience and Skills Required:Education:Bachelors degree in Data Science, Statistics, Actuarial Science, Mathematics, Computer Science, or a related fieldMasters degree preferredExperience:8+ years experience in data, analytics, or technology roles within insurance, banking, or telecommunicationsMinimum of 3 years experience in a people leadership roleProven success bridging business and technology to deliver enterprise-wide data initiativesSkillsStrong hands-on expertise in Azure Synapse, SQL, and data integration platformsSolid understanding of South African data governance, regulatory, and compliance requirementsDemonstrated ability to execute analytics use cases and lead effective data governance frameworksNon-Negotiables:Proven track record in implementing enterprise-scale data governance and analytics frameworksAbility to influence at executive level and drive change across complex organisationsFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/L/Lead-Data-Governance-1252978-Job-Search-01-18-2026-22-13-59-PM.asp?sid=gumtree
5d
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Job & Role Description:Im looking to connect with Data Scientists who have proven experience applying machine learning, AI, and statistical modelling within banking or financial services environments. By partnering with me, youll be considered for multiple high-impact upcoming projects.Key Responsibilities:Analyse large-scale financial datasets to uncover trends, risks, and opportunities.Design, develop, and deploy AI and machine learning models for financial use cases.Build predictive models for credit risk, fraud detection, customer segmentation, and forecasting.Apply statistical modelling and time-series analysis to financial data.Work with structured and semi-structured data across multiple financial systems.Deploy models into production and monitor performance and model drift.Job Experience and Skills Required:Education:Degree in Mathematics, Statistics, IT, Data Science, Computer Science, or related quantitative fields.AWS Certified Data Analytics or Microsoft Certified: Azure AI Engineer Associate or Databricks Data Scientist Professional Certifications are advantageous. Experience:3+ years experience as a Data Scientist, preferably within Finance or Banking.Strong experience with Python (Pandas, NumPy, Scikit-learn).Hands-on experience with Machine Learning and AI techniques.Exposure to Deep Learning, NLP, or Generative AI / LLMs (advantageous).Strong SQL skills and experience working with large financial datasets.Experience with cloud platforms (AWS, Azure, or GCP).Experience deploying models via APIs or into production environments.Understanding of MLOps, model governance, and regulatory considerations.Apply now!
https://www.jobplacements.com/Jobs/D/Data-Scientist-1254651-Job-Search-01-22-2026-04-14-00-AM.asp?sid=gumtree
2d
Job Placements
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Model Validation & GovernanceLead independent validations of models, including credit risk, operational optimisation, financial crime, and marketing campaignsEnsure robust model governance and risk management processes are in placeDesign and implement challenger models using advanced machine learning techniquesTechnical Leadership & ResearchProvide subject matter expertise and oversight on technical reviews of modelsResearch emerging algorithms and technologies to ensure models meet best practice standardsContribute to enhancing validation methodologies and frameworksCollaboration & MentorshipPartner with model development teams and stakeholders to provide effective challenge and assuranceMentor analysts, identify skills gaps, and support professional growth Skills & Experience:Minimum 6+ years of experience in model development and validation within Data ScienceStrong technical expertise in tree-based methods, neural networks, clustering, anomaly detection, and advanced ML techniquesExposure to cloud platforms (AWS preferred) and emerging technologies such as large language modelsAbility to design and deliver end-to-end ML projects independentlyExcellent communication and stakeholder engagement skills Qualifications:Minimum: Honours Degree in Mathematics, Statistics, or Data SciencePreferred: Masters degree in mathematics, Statistics, or Data Science For more information contact:Recruitment Consultant
https://www.jobplacements.com/Jobs/M/Model-Validation-Lead-1254859-Job-Search-01-22-2026-10-13-57-AM.asp?sid=gumtree
2d
Job Placements
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Model Validation & GovernanceLead independent validations of models, including credit risk, operational optimisation, financial crime, and marketing campaignsEnsure robust model governance and risk management processes are in placeDesign and implement challenger models using advanced machine learning techniquesTechnical Leadership & ResearchProvide subject matter expertise and oversight on technical reviews of modelsResearch emerging algorithms and technologies to ensure models meet best practice standardsContribute to enhancing validation methodologies and frameworksCollaboration & MentorshipPartner with model development teams and stakeholders to provide effective challenge and assuranceMentor analysts, identify skills gaps, and support professional growth Skills & Experience:Minimum 6+ years of experience in model development and validation within Data ScienceStrong technical expertise in tree-based methods, neural networks, clustering, anomaly detection, and advanced ML techniquesExposure to cloud platforms (AWS preferred) and emerging technologies such as large language modelsAbility to design and deliver end-to-end ML projects independentlyExcellent communication and stakeholder engagement skills Qualifications:Minimum: Honours Degree in Mathematics, Statistics, or Data SciencePreferred: Masters degree in mathematics, Statistics, or Data Science For more information contact:Recruitment Consultant
https://www.jobplacements.com/Jobs/M/Model-Validation-Lead-1254141-Job-Search-01-21-2026-04-13-49-AM.asp?sid=gumtree
3d
Job Placements
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