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Results for modeling jobs in "modeling jobs" in Jobs in Gauteng in Gauteng
1
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Key Responsibilities:Design and build conceptual, logical, and physical data models within Datasphere.Develop and maintain semantic layers, views, and data products aligned to business requirements.Integrate diverse data sources (cloud, on-premises, APIs, flat files) into Datasphere.Ensure data quality, governance, security, and compliance with enterprise standards.Optimize models for performance and scalability.Collaborate with BI, analytics, and business stakeholders to translate requirements into robust data models.Provide technical documentation and knowledge transfer. Qualifications & Skills:Bachelors degree in information systems, Computer Science, or related field.Proven experience with SAP Datasphere (or SAP Data Warehouse Cloud) and strong data modelling background.Proficiency in SQL and relational database concepts, Snowflake, Azure, Google Big QueryExperience with data integration tools and cloud platforms (e.g., SAP BTP, Azure, AWS, GCP).Understanding of star/snowflake schemas, dimensional modelling, and semantic modelling.Knowledge of data governance, security concepts, and best practices.Strong analytical, problem-solving, and communication skills. Experience:7 years+ experience in data engineering, data modelling, or BI development.Hands-on experience with Datasphere or equivalent cloud-based data platforms.
https://www.executiveplacements.com/Jobs/S/Senior-Datasphere-Specialist-1256199-Job-Search-01-27-2026-04-29-23-AM.asp?sid=gumtree
2d
Executive Placements
1
Software Engineer (Automotive Controls)Durbanville, Cape TownRequirements:BEng Degree in Electronic/Mechatronic Engineering (M Eng. preferred)Willing to travel overseas for variable periods3-6+ Years of experienceResponsibilities:Matlab/Simulink software development for automotive controllersUnder the guidance of the Lead Software Engineer, be responsible for the documentation, verification, and testing of control softwareSoftware algorithm development and control systems optimisationContribute to the development of system plant models and simulations using Matlab/SimulinkContribute to the development of software tools required for vehicle production and field supportSupport testing of software at the module level and on prototype vehicles
https://www.executiveplacements.com/Jobs/S/Software-Engineer-Automotive-Controls-1240637-Job-Search-01-26-2026-00-00-00-AM.asp?sid=gumtree
3d
Executive 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
7d
Job Placements
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Support the development, review, and validation of credit risk models used for regulatory capital and provisioning purposesWork on quantitative models including IFRS 9 models, scorecards, and capital models across various portfoliosPerform data analysis, statistical testing, and model performance assessments to support model development and review outcomesAssist in the coding, automation, and enhancement of credit risk and capital modelsApply contemporary statistical and modelling techniques to solve complex credit risk problemsPrepare technical documentation, model reports, and analytical notes for internal review and external stakeholdersTranslate complex quantitative concepts into clear, understandable insights for both technical and non-technical audiencesCollaborate with senior team members to deliver high-quality outputs within agreed timelinesContribute to client-facing engagements, including responding to information requests and participating in discussionsStay up to date with regulatory developments, industry trends, and emerging best practices in credit risk and capital managementSupport knowledge sharing and contribute to team learning and development initiativesManage multiple tasks simultaneously while maintaining a high level of accuracy, resilience, and attention to detailSkills & Experience:Honours or Masters degree in a quantitative discipline (e.g. Quantitative Finance, Mathematics, Statistics, Engineering, or similar)Professional certification such as FRM or PRM (completed or in progress) is advantageousExperienceMinimum 4+ years experience in a quantitative risk, credit risk, or capital modelling roleHands-on experience with credit risk models (e.g. IFRS 9, scorecards, capital models)Exposure to regulatory and provisioning frameworks within a banking or professional services environmentExperience using analytical or programming tools such as Python, R, or SASBackground in delivering client-driven or stakeholder-focused work under regulatory or operational deadlines Apply now!
https://www.executiveplacements.com/Jobs/C/Credit-Risk-Senior-Consultant-1255541-Job-Search-01-25-2026-22-14-35-PM.asp?sid=gumtree
3d
Executive Placements
1
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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
8d
Job Placements
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This role is suited for a seasoned quantitative professional who can lead complex analytical work, influence credit strategy, and deliver robust, regulator-ready models.Key ResponsibilitiesDesign, develop, and maintain advanced credit risk models for unsecured lending and overdraft portfolios (PD, LGD, EAD, scorecards).Provide expert quantitative insight to support credit decisioning, portfolio optimization, and risk appetite setting.Lead model performance monitoring, validation support, and remediation activities.Translate complex analytical outcomes into clear business recommendations for senior stakeholders.Ensure full compliance with regulatory and governance standards (e.g. IFRS 9, Basel, internal model risk frameworks).Collaborate with credit, finance, and technology teams to embed models into production and decision systems.Act as a subject matter expert and mentor to junior analysts.Required Experience & SkillsExtensive experience (8+ years) as a quantitative analyst within a banking environment.Proven, hands-on expertise in unsecured lending and overdraft products.Strong background in credit risk modelling, statistical analysis, and predictive analytics.Advanced proficiency in SAS, SQL, Python, or R.Deep understanding of the end-to-end credit lifecycle and banking risk frameworks.Ability to operate at expert level, with minimal supervision, in a high-impact role.What Sets You ApartRecognized as a trusted expert in unsecured credit ri
https://www.executiveplacements.com/Jobs/S/Senior-Quantitative-Analyst-1257064-Job-Search-01-29-2026-04-14-36-AM.asp?sid=gumtree
4h
Executive Placements
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Qualifications and Experience Required:Matric plus Bachelors Degree Actuarial Science, Mathematics, Statistics, Finance, Econometrics, Quantitative Risk or a related field.4-6 years of experience in ALM, Financial Risk Management or TreasuryProficiency in statistical software and programming languages (e.g., R, Python, or similar).Understanding of financial markets, instruments, risk management concepts, and Funds Transfer Pricing mechanisms.Good understanding of Asset and Liability Management, gained through hands-on experience or Asset and Liability Management training attendanceExperience with quantitative modelling and validation in a financial services environment.Familiarity with best practice frameworks related to market risk and FTP methodologies.Knowledge of data analysis tools and techniques.Responsibilities:Assist in the development of quantitative risk models used for market risk measurement, including Value at Risk (VaR), stress testing, scenario analysis, and FTP models.Participate in the validation process of quantitative models, ensuring accuracy, reliability, and compliance with regulatory requirements.Collect, clean, and analyse financial data from various sources to support modelling activities and FTP calculations.Conduct statistical analyses to identify trends, patterns, and anomalies in financial data, particularly focusing on interest rate risk and funding costs.Collaborate with senior managers to implement and enhance risk models and FTP methodologies, ensuring they are robust and aligned with industry standards.Support in analysis to support decision making on Equity Price risk management.Perform the calculation of the monthly Share Price forecasting for use in the strategic balance sheet modelling process.Support the calculation and implementation of FTP rates to accurately reflect the cost of funds and the credit risk associated with various business units.Assist in analysing the impact of FTP on overall profitability and performance metrics, providing insights to enhance decision-making.Conduct back testing of models to assess predictive performance and recalibrate models as necessary, including FTP models.Prepare detailed reports and presentations summarising quantitative analyses, model outcomes, FTP rates, and associated risks for ALCO Technical, ALCO and other stakeholders.Assist with ALCO process coordination.Participate in ALCO meetings including preparing and presenting ad-hoc reports as needed for the committee.Assist the Share Price Forecasting sub-committee with coordination and minute taking, if required.Preparation of monthly and quarterly risk reports and prese
https://www.executiveplacements.com/Jobs/A/Analyst-Quantitative-Risk-Modelling--Validation-1256690-Job-Search-01-28-2026-04-31-24-AM.asp?sid=gumtree
1d
Executive Placements
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Essential skills requirements:SAP EWM Module ConfigurationAnalyse and solve SAP EWM Module issuesConduct SAP EWM Module process configurationUpdate and maintain all SAP EWM Module functional documentationGood experience in Extended Warehouse Management processesAny additional responsibilities assigned in the Agile Working Model (AWM) CharterAdvantageous skills requirements:Understanding of EWM processes in S/4HANATrouble shooting EWM issues and providing business supportUnderstanding EWM queues in S/4HANAMonitoring & investigation of queues in Warehouse MonitorKnowledge on EWM configurationConduct Unit tests, Integration tests and System Integration security testsWhat will be your role and responsibilities?Understand the business requirements, preparing AS-IS, and TO-BE documents and get sign-off from users for Business Blueprint documentABAP debugging beneficial (Workbench related knowledge of new development/enhancements)Handling Tickets and Tasks with the responsibility for closing the same within defined SLAs (Service Level Agreements)Responsible for troubleshooting issues for the system and providing supportExecuting the required changes through configurationExecuting the analysis and resolution of Production Support callsRaising Change Requests (CRs) and writing Functional Specifications for themPreparing test data for testing of CRs (Change Requests)Testing CRs (Change Requests) and preparing test resultsCarrying out regression testingInteract with consultants of other modulesUser interface transactional solutions
https://www.executiveplacements.com/Jobs/S/SAP-EWM-Consultant-Senior-2001-1204394-Job-Search-07-18-2025-04-16-20-AM.asp?sid=gumtree
6mo
Executive Placements
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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
7d
Job Placements
1
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Support the development, review, and validation of credit risk models used for regulatory capital and provisioning purposesWork on quantitative models including IFRS 9 models, scorecards, and capital models across various portfoliosPerform data analysis, statistical testing, and model performance assessments to support model development and review outcomesAssist in the coding, automation, and enhancement of credit risk and capital modelsApply contemporary statistical and modelling techniques to solve complex credit risk problemsPrepare technical documentation, model reports, and analytical notes for internal review and external stakeholdersTranslate complex quantitative concepts into clear, understandable insights for both technical and non-technical audiencesCollaborate with senior team members to deliver high-quality outputs within agreed timelinesContribute to client-facing engagements, including responding to information requests and participating in discussionsStay up to date with regulatory developments, industry trends, and emerging best practices in credit risk and capital managementSupport knowledge sharing and contribute to team learning and development initiativesManage multiple tasks simultaneously while maintaining a high level of accuracy, resilience, and attention to detailSkills & Experience:Honours or Masters degree in a quantitative discipline (e.g. Quantitative Finance, Mathematics, Statistics, Engineering, or similar)Professional certification such as FRM or PRM (completed or in progress) is advantageousExperienceMinimum 4+ years experience in a quantitative risk, credit risk, or capital modelling roleHands-on experience with credit risk models (e.g. IFRS 9, scorecards, capital models)Exposure to regulatory and provisioning frameworks within a banking or professional services environmentExperience using analytical or programming tools such as Python, R, or SASBackground in delivering client-driven or stakeholder-focused work under regulatory or operational deadlines Apply now!
https://www.executiveplacements.com/Jobs/C/Credit-Risk-Senior-Consultant-1254849-Job-Search-01-22-2026-10-13-48-AM.asp?sid=gumtree
7d
Executive Placements
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ESSENTIAL SKILLS:Strong ABAP and ABAP OO developing skillsExperience with data extraction and provisioning (OData/Restful APIs, RFC, BAPI, ODP)Experience with performance tuning, ABAP objects, analysing ABAP logs/dumpsSAP ABAP Development & Debugging experienceUnderstanding of BW Modelling Possibilities for ex. BW artefactsCDS Views, annotations, extensions implementation and enhancementsAny additional responsibilities assigned in the Agile Working Model (AWM) CharterADVANTAGEOUS SKILLS:Deep dive in performance analysis on NetWeaver and HanaAbility to resolve & implement ABAP/BW Related Incidents & Changes (ITSM incident and changes)Any additional responsibilities assigned in the Agile Working Model (AWM) CharterVery strong understanding of optimized data retrieval and code performance techniquesCDS exposed and classic OData services implementation and enhancementsSAP BWonHanaSAP BW4HANASAP HANA XSA and XSC development experienceFamiliarity with SAP HANA and its integration with BW can be an advantageSAP Solution Manager experienceSAP Analytics CloudSAP DatasphereExperience across any other SAP modulesSAP BTPFair knowledge of Cloud platforms (AWS)Kafka knowledgePython development experienceJavaQUALIFICATIONS:5+ years SAP ABAP OO development experience5+ Extensive experience in oData / restful API development5+ years ABAP development experience3+ years experience in SAP BW (BWonHANA & BW4HANA)3+ years experience working with various user applications3+ years experience in Conducting Unit tests and Integration tests3+ years experience in HANA development
https://www.executiveplacements.com/Jobs/S/SAP-ABAP-Developer-Senior-2495-1196800-Job-Search-06-23-2025-10-15-50-AM.asp?sid=gumtree
7mo
Executive Placements
1
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Are you a detail-oriented audit professional with a passion for quantitative models and a solid understanding of risk in the banking sector? This role offers a unique opportunity to work within a high-performing audit team, reviewing critical models used for regulatory and business decision-making. Youll gain exposure across African markets, contribute to model governance improvement, and help shape the institutions approach to managing model risk effectively.Duties: Conduct independent audits on internal models, covering development, validation, implementation, and ongoing monitoring.Assess governance and control processes around model lifecycle management.Evaluate regulatory compliance of credit and market risk models submitted to supervisory authorities.Perform in-depth reviews of application scorecards, probability of default (PD) models, stress testing frameworks, and capital adequacy models (ICAAP).Provide assurance on model risk related to regulatory change initiatives (e.g., FRTB-SA, BA-CVA).Engage with business and risk stakeholders across African subsidiaries to ensure strong control environments. Job Experience & Skills Required: Qualifications: Matric (Grade 12)Bachelors degree in Quantitative Finance, Risk Management, Actuarial Science, or related field. Postgraduate qualification or certifications (e.g. FRM, CFA, CIA) are a plus.Experience: 3 - 5 years experience in internal audit, model risk, or validation in financial services.Strong understanding of credit and market risk modelling, regulatory expectations, and model governance frameworks.Experience working across diverse jurisdictions and exposure to retail and wholesale banking models.Strong analytical thinking, attention to detail, and excellent communication skills. Skills & Competencies: Contribute to the oversight of cutting-edge risk models in a top-tier banking environment.Engage with model developers, validators, and regulators on complex, high-impact topics.Build your expertise in quantitative risk, model governance, and regulatory audits.Be part of a collaborative, growing audit team that values learning, rigour, and strategic thinking. If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
https://www.executiveplacements.com/Jobs/I/Internal-Auditor-Model-Risk-1195147-Job-Search-06-17-2025-10-22-23-AM.asp?sid=gumtree
7mo
Executive Placements
1
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Leading Consulting Firm - Hybrid Work ModelThis role is perfect for someone with deep technical expertise, excellent leadership ability, and a strong consulting mindset. If you thrive in a dynamic environment with varied, high-impact projects this opportunity is for you.Key Responsibilities:Lead and manage a small data science and analytics team (23 years management experience required).Develop predictive models from start to finish: data exploration, feature engineering, model build, deployment, and optimization.Continuously adjust, refine, and improve model performance based on client and business needs.Design and deliver AI-driven and machine learning solutions for both clients and internal initiatives.Translate data insights into actionable business recommendations and presentations.Ensure analytical excellence, best practices, and quality assurance across the team.Work closely with internal stakeholders and clients to ensure delivery excellence in a consulting setting.Qualifications & Experience:Education:Masters degree in Mathematics, Statistics, or related quantitative discipline (PhD highly preferred).Experience:23 years of management or leadership experience, preferably leading a small analytics team.Demonstrated ability to build, deploy, and optimise predictive models.Strong, proven experience with AI and machine learning (nonâ??negotiable).Prior experience in a consulting environment is advantageous.Apply Now!This role is designed for a professional who wants to influence outcomes, challenge assumptions, and lead through analysis not just execute tasks.For more exciting Finance and Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist--Analytics-Manager-1256601-Job-Search-01-28-2026-00-00-00-AM.asp?sid=gumtree
19h
Job Placements
1
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Role Responsibilities / Main Activities:Analysis, Modelling and Design:Perform problem analysis to understand the underlying causes, factors, and implicationsDevelop insights and identify requirements for solutionsPerform exploratory data analysis (EDA) to understand data patterns, trends, and relationshipsDevelop or know about implementing statistical models, machine learning algorithms, and predictive analytics techniques to extract insights surrounding the business requirementsConduct hypothesis testing and statistical inference to validate findings and assess model accuracyDefine the model in the context of the solution and create functional specificationsCreate the Entity-Relationship Diagrams to visually represent entities, attributes, and relationships in the systemCollaborate with a cross-functional team of business analysts, UI analysts, and domain experts to define and document requirementsQualifications to do the job:Domain-relevant certificationsDegree in Electrical Engineering, Computer Science, Data Science, Statistics, Mathematics, or a related fieldExperience to do the job:Experience in problem-solving and root cause analysisExposure to the utility industry is advantageous but not requiredProven record of experience with data manipulation, data visualisation, and statistical analysis libraries (e.g., Pandas). Proven application of machine learning frameworks and statistical modelling techniques. At least 3 years of experience as a senior System analystAt least 2 years of experience leading a team
https://www.executiveplacements.com/Jobs/L/Lead-Senior-System-Analyst-1254229-Job-Search-01-21-2026-04-33-36-AM.asp?sid=gumtree
8d
Executive Placements
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REQUIRED QUALIFICATIONS AND EXPERIENCE:Qualifications:Chartered Accountant (CA) (SA)/ MBA or equivalent financial qualification is highly advantageous.Relevant certifications in financial modelling, restructuring, or project management.Advanced degree in finance, business administration, or a related field is beneficial.Experience:A minimum of 5 years experience in business restructuring, business rescue, financial advisory, or related roles in developmental finance institutions (DFIs), financial institutions, professional services firms, or banks.Exceptional financial analysis and financial modelling skills.
https://www.executiveplacements.com/Jobs/C/Credit-Risk-Turnaround-and-Workout-Specialist-1205533-Job-Search-07-23-2025-04-07-00-AM.asp?sid=gumtree
6mo
Executive Placements
1
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Key Responsibilities:Support credit risk model review and development for impairment (both IAS 39 and IFRS 9) and capital modelling purposes.Assist with credit strategic engagements to enhance clients credit risk management capabilities.Potential involvement with capital management and balance sheet management engagements, including ICAAP, Risk Appetite, and Economic Capital modelling.Engage with a wide range of clients within the financial services industry, including banks, development finance institutions, micro-lenders, and retailers.Potential travel opportunities, including destinations within the Rest of Africa, Europe, and the Middle East.Desired Skills and Experience:A Hons or Masters degree in a quantitative discipline such as Mathematics, Statistics, Actuarial Science, or a similar field.At least 4 years of relevant experience in a quantitative credit risk role.Proficiency in SAS systems.Strong communication skills to articulate complex quantitative concepts to both technical and non-technical individuals, and to engage with senior management and clients.Salary Expectations: Salary is dependent on qualifications and experience.
https://www.executiveplacements.com/Jobs/C/Credit-Risk-Manager-1198172-Job-Search-06-27-2025-04-12-55-AM.asp?sid=gumtree
7mo
Executive Placements
1
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Join a respected consulting organisation known for its analytical excellence and highâ??impact solutions across diverse industries. This firm promotes innovation, intellectual curiosity, and collaboration, making it an excellent environment for someone who wants to grow, lead, and influence advanced data strategies.As the Data Scientist & Analytics Manager, you will oversee a small team of data professionals, design AIâ??driven and machine learning solutions, and manage the full lifecycle of predictive model development. Youll work directly with clients, turning data insights into meaningful business outcomes while shaping the organisations analytics capabilities.Why This Opportunity?:Hybrid working modelGenerous leave daysStrong benefits packageLeadership responsibility and technical ownershipExposure to diverse projects within a respected consulting environmentWhats in it for me? Mentorship, leadership impact, flexibility, and the chance to drive AI and ML innovation in a team that values excellence.Key Responsibilities:Lead and mentor a small team of data scientists and analysts.Build, refine, and optimise predictive models based on performance metrics.Develop and deliver AI and machineâ??learning solutions for clients.Conduct endâ??toâ??end model development including data exploration, feature engineering, modelling, and deployment.Translate complex analytical findings into clear, actionable business insights and recommendations.Job Experience and Skills Required:Education Minimum Requirement:Masters degree in Mathematics, Statistics, or a related quantitative field.PhD strongly preferred.Experience:23 years leadership or management experience, including leading a small team.Proven endâ??toâ??end predictive modelling expertise.Strong AI and machine learning experience (nonâ??negotiable).Consulting environment experience advantageous.Skills:Python (essential).SQL (advantageous).Strong analytical problemâ??solving ability.Ability to communicate insights to nonâ??technical stakeholders.Other Nonâ??Negotiables:AI and ML experience required.Must have led a small team.Apply now!For more exciting Finance vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-and-Analytic-Manager-1256347-Job-Search-01-27-2026-00-00-00-AM.asp?sid=gumtree
2d
Job Placements
1
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Key Job ResponsibilitiesTactical ImplementationAlign all operational activities undertaken in the department to the BRIGHT strategy objectivesDrive best practice, iterative improvement and innovationProvide recommendations to various business units and influences future plans based on insightsData ModellingResearch and develop custom data models and algorithms to apply to data setsDesign data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problemLead multiple analytic project teams by serving as the senior technical thought leader for project teams; working with various business units to translate project goals into data analytic modelBuild predictive and data mining models with high dimensional and dynamic data and conduct analysis through the project life cycleEffectively communicate and interpret model results for business LLM Model prototypes and incorporating OpenAI prototypes in solutions Data AnalysisUtilise Big Data analytics and advanced data mining techniques to analyse data and extract meaningful business insights and the story behind the pattern.Code, test and maintain analytical software toolsInvestigate adversarial trends, identify behavior patterns, and respond with agile logic changePerform analytical tasks such as text mining and sentiment analysis using Big Data techniques and algorithms.Analyse data from company databases to drive optimisation and improvement Education / Business DegreeHonours degree in relevant fieldMinimum of 3-year tertiary degree in (STEM); Engineering, Computer Science, Mathematics, Statistics, Biological Sciences or related quantitative fieldWork ExperienceMinimum of 5 years experience in a data science environment, with experience in model development, interpretation and deployment.Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detectionManagement experience beneficial.Experience working in a medium to large organisationWorked across diverse cultures and geographies advantages
https://www.executiveplacements.com/Jobs/S/Senior-Specialist-Data-Scientist-1255180-Job-Search-01-23-2026-04-28-34-AM.asp?sid=gumtree
6d
Executive Placements
1
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Machine Learning EngineerBuild and deploy scalable machine learning solutions in a cloud-native environmentJohannesburg (Hybrid) | R60 000 R70 000 per monthAbout Our ClientOur client is a data-focused organisation developing advanced machine learning solutions at scale using Microsoft Azure. They work on complex, real-world problems where models must be production-ready, reliable, and aligned with business needs. The team combines strong engineering standards with applied data science, offering an environment where Machine Learning Engineers can have real ownership and impact.The Role: Machine Learning EngineerAs a Machine Learning Engineer, you will design, build, and deploy machine learning models and pipelines into production. You will work closely with Data Scientists and MLOps Support Engineers to ensure models are scalable, maintainable, and well-documented.Key ResponsibilitiesDesign and implement end-to-end machine learning pipelinesTranslate models from research and notebooks into production-ready codeCollaborate with Data Scientists to productionise modelsWork closely with MLOps Support Engineers to support deployment and monitoringBuild and maintain scalable data and ML pipelinesEnsure models meet performance, reliability, and business requirementsProvide clear documentation and handover for deployed solutionsAbout You3+ years of experience in machine learning engineering or data engineeringStrong Python skills, especially in ML frameworks and pipeline developmentExperience deploying ML models into production environmentsProficiency in cloud platforms, preferably Microsoft AzureSolid understanding of data pipelines, version control, and testing practicesCollaborative mindset with the ability to work across teamsStrong problem-solving and documentation skills
https://www.executiveplacements.com/Jobs/M/Machine-Learning-Engineer-1254808-Job-Search-1-22-2026-8-24-40-AM.asp?sid=gumtree
7d
Executive Placements
1
Experience in managing and implementing innovative Fintech products within the Telco/ Financial or Banking industries. Experience with Agile delivery and development operations frameworks. Experience with Scrum and Agile Software Development Methodology. Knowledge must include Fintech Products and Ecosystem, Global money transfer process, Agile methodologies, Definition and use case modelling, user story definition and refinement, Agile software development processes and methods, business modelling as well as analytics/ AB/ multivariate testing and related tools. Gauteng based. SA citizens only.
https://www.executiveplacements.com/Jobs/M/Manager-Remittance--Interoperability-1254294-Job-Search-1-21-2026-9-59-07-AM.asp?sid=gumtree
8d
Executive Placements
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