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Results for data in "data", Full-Time in Jobs in Gauteng in Gauteng
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Key Responsibilities:Optimize stock levels to avoid overstocking and understockingAnalyze and reduce inventory costs, performing cost variance analysis and reporting deviationsInvestigate and resolve stock variances, identifying root causes and implementing corrective actionsUtilize ERP system to track stock movement, monitor efficiencies, and generate inventory reportsPlan, coordinate, and manage regular physical counts, reconciling with the general ledgerProduce inventory aging reports and manage expiry dates on raw materialsOversee stock input, assemblies, and wastage reconciliationsMaintain and optimize Bills of Materials (BOMs) to ensure accurate product costingCollaborate with production and purchasing to minimize excess/obsolete inventory and manage wasteEnsure high integrity of inventory data within the ERP systemEnsure compliance with company policies, accounting, and ISO standardsRequirements:Bachelors degree in Cost & Management Accounting, Finance, or related field35 years experience in cost accounting within a manufacturing or FMCG environmentAdvanced Excel skills (data analysis, modeling)Strong experience with ERP systemsUnderstanding of ISO standardsManagement experiencePersonal Attributes:Highly detail-oriented with strong analytical abilityProactive and solution-focused in resolving discrepanciesResilient under pressure and deadline-drivenStrong collaborative and communication skillsThis opportunity suits a finance professional who enjoys operational involvement, understands manufacturing or FMCG stock complexities, and can confidently influence cost management strategies.If you are ready to take ownership of inventory cost control within a dynamic, growing business,
https://www.jobplacements.com/Jobs/I/Inventory-Cost-Controller-1261642-Job-Search-02-11-2026-16-03-46-PM.asp?sid=gumtree
8d
Job Placements
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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-1259471-Job-Search-02-05-2026-04-15-06-AM.asp?sid=gumtree
15d
Job Placements
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Supply Chain Warehouse OperatorReport to: OperationsSeniority Level: Mid Career (4 - 6 yrs exp)Type: TempDuties and Responsibilities:Key responsibilitiesStock controlMonitor and control inventory levels of raw materials, ingredients, packaging materials, and finished products.Enforce stock rotation procedures to minimise spoilage and waste.Conduct regular cycle counts, stocktakes, and reconciliations.Manage lot/batch traceability and expiry dates.Process and verify all inventory transactions accurately.Collaborate with various teams for inventory alignment.Generate and analyse inventory reports.Coordinate inbound and outbound logistics.Support continuous improvement initiatives.Participate in audits and train warehouse staff.ProcurementLead purchasing for assigned categories.Ensure compliance with procurement policies.Manage purchase orders and resolve discrepancies.Negotiate prices, terms, and schedules.Supplier managementBuild and maintain supplier relationships.Monitor supplier performance and conduct audits.Support supplier qualification.Logistics & distributionOptimise logistics and route planning.Oversee warehousing activities.Manage customs clearance and compliance.Team supervision & operationsSupervise procurement/logistics staff.Ensure timely issue resolution.Maintain accurate records.Cost control & continuous improvementImplement process improvements and cost-saving initiatives.Monitor spend and participate in sourcing projects.Data & reportingMaintain data and prepare reports.Support month-end closing and reconciliation.Compliance & safetyEnsure regulatory compliance and safety.Required qualifications & experience:Education: Diploma or degree in Supply Chain Management or related field preferred.Experience: 4-6 years in procurement and logistics with 1-2 years in a supervisory capacity preferred.Systems: Experience with ERP systems and proficiency in Excel.Certifications: CIPS, APICS/CSCP, CPIM, CILF or equivalent (desirable).Key skills & competencies:Negotiation, analytical ability, organisation, leadership, communication, problem-solving, attention to detail.Physical requirements: Ability to spend time on warehouse floor as needed.Performance Indicators:Purchase order cycle time and accuracy.Cost savings achieved vs target.https://www.jobplacements.com/Jobs/S/Supply-Chain-Warehouse-Operator-1263389-Job-Search-02-17-2026-10-02-24-AM.asp?sid=gumtree
2d
Job Placements
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In this role, you will develop and deploy machine learning and statistical models, design AI-driven solutions, and tackle complex analytical challenges. You will work across the entire data lifecycle - from data discovery to insight delivery - while leveraging modern platforms like AWS and SAS Viya to build scalable, high-impact solutions. This position is perfect for someone who combines deep technical expertise with strong business understanding.Key Responsibilities: Manage full data workflows: Data extraction, cleaning, preparation, and analysisCreate meaningful dashboards and visualisations to communicate insightsBuild and deploy statistical and machine learning models using SAS, Python, and SQLDevelop new AI-driven solutions for complex business problemsTranslate ambiguous or unstructured business challenges into clear analytical approachesWork within AWS and SAS Viya environments for development and deploymentCollaborate closely with business teams to understand needs before building solutionsPresent findings and recommendations in a clear, concise manner to stakeholdersJob Experience and Skills Required:Education:Degree in a quantitative field such as Applied Mathematics, Statistics, Data Science, or related disciplinesStrong theoretical grounding in statistical modelling is essentialExperience:Strong background in data preparation, data wrangling, and exploratory analysisExperience working with SAS, Python, and SQL in production environmentsProven experience with machine learning or statistical modelsExposure to cloud technologies, preferably AWSExperience using data visualisation tools (e.g., SAS Visual Analytics or similar)Skills:Strong analytical and problem-solving abilityAbility to work independently and take full ownership of solutionsExcellent communication skills and the ability to tell a clear data-driven storyHigh levels of curiosity and willingness to experiment and learnStrong collaboration skills able to work closely with both technical and non-technical teamsEnjoys tackling challenging problems and thrives in a dynamic environmentFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1259673-Job-Search-02-05-2026-10-16-13-AM.asp?sid=gumtree
14d
Job Placements
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About the RoleBST HeadHunters is looking for a detail-oriented and experienced Data Analyst to join our team in Johannesburg. You will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports to help drive our business decisions.What We Are Looking For• Experience: Proven professional experience as a Data Analyst or in a similar analytical role.• Technical Skills: Proficiency in data visualization tools (e.g., Power BI, Tableau) and advanced Excel.• Analytical Mindset: Ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.• Communication: Strong ability to present complex data findings to stakeholders clearly.Why Join Us?• Comfortable Environment: Work from our modern Johannesburg office.• Perks: Fully stocked office kitchen with snacks, premium coffee, and drinks to keep you fueled.• Professional Growth: Join a fast-paced team where your insights directly impact company strategy.Salary: R15,000 – R19,000 (Experience Dependent)Location: Johannesburg (In-Office)Work Schedule: Monday – Friday (Full-Time)How to ApplyReady to take the next step? Choose your preferred way to reach out:1. Telegram: Message us at @BST_HeadHunters2. Email: Send your CV to jobs.bstheadhunters@proton.me
14d
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Requirement:A minimum of 3 years relevant experience in Data Science or Statistical Modelling.Bachelors or Masters Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science Engineering, Artificial Intelligence or related fields (essential)Experience manipulating and analysing large and complex datasets Experience in visualisation, creating graphical static and interactive displays of data that clearly communicate insight.Good interpersonal communication and presentation skillsUnderstands how AI & ML creates commercial valueAbility to manage relationships with stakeholders across the continentAbility to work in a fast-paced environmentAnalytical and expansive thinking with a strong desire to deliver and developExperience building and deploying models (Churn, AML, Credit, Fraud, etc.)Experience in major machine learning modelling libraries (e.g., H2O, scikit-learn, PyTorch) and techniques (e.g. random forest, gradient boosting, k-means segmentation, multiple regression, factor analysis, time-series forecasting)Familiarity with visualisation tools (e.g. Tableau, Qlik, PowerBI)Experience working with large datasets (e.g. SQL, Spark, SAS)Proficiency in at least one relevant programming language: Python, R
https://www.jobplacements.com/Jobs/A/AML-Data-Scientist-1261887-Job-Search-02-12-2026-04-32-10-AM.asp?sid=gumtree
8d
Job Placements
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As a Remote Condition Monitoring Specialist, you will be responsible for monitoring the performance and health of deployed plants and equipment using remote monitoring systems. The role focuses on configuring new monitoring sites, ensuring system uptime and data integrity, analysing operational data, managing alarms and deviations, and providing actionable insights that support maintenance and reliability strategies.You will work closely with engineering, field service, and technical support teams to ensure proactive fault detection, minimise downtime, and continuously improve monitoring processes.Job Experience & Skills Required:Experience with remote monitoring, condition monitoring, or industrial automation environmentsStrong understanding of PLC/SCADA systems, IoT instrumentation, and data acquisition platformsAbility to analyse monitoring data to identify performance deviations or anomaliesExperience configuring dashboards, alarms, and reporting structuresStrong problem-solving skills and technical troubleshooting abilityExcellent communication skills to translate technical findings into actionable outcomesFor more engineering jobs, please visit
https://www.jobplacements.com/Jobs/R/Remote-Condition-Monitoring-Specialist-1261162-Job-Search-02-10-2026-00-00-00-AM.asp?sid=gumtree
9d
Job Placements
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What youll doTranslate client business questions into analytic approaches (metrics, segments, hypotheses), then deliver recommendations leaders can act on.Perform data exploration to identify drivers, anomalies, and performance constraints; communicate findings clearly to non-technical stakeholders.Design, run, and analyse experiments (A/B tests) and/or apply causal inference where experimentation is constrained.Build predictive models (e.g., risk/propensity/forecasting) with sensible baselines, validation, and error analysis, document tradeoffs.Build LLM/GenAI applications (prompt workflows, tool use, structured outputs) and implement RAG when retrieval improves accuracy.Create evaluation approaches for LLM systems (test sets, rubrics, automated checks, and human review loops) and iterate based on evidence.Implement guardrails: PII handling, secure prompting patterns, input/output validation, rate limiting, and fallback behaviors.Package models and GenAI components into clean services (APIs/batch jobs), with basic CI/CD awareness and production readiness.Improve/extend data pipelines and feature reliability (freshness, data quality checks, lineage-friendly design).Contribute to value measurement: define success metrics, track outcomes, and help clients understand what moved and why (the company emphasizes value measurement as part of delivery).Work within a structured engagement approach (Discover Review Implement Value Evolve), producing lightweight deliverables clients can run with. Role ExpectationsStrong fundamentals in SQL + Python for analysis, transformation, and reproducible work (notebook + production-friendly code).Experience delivering at least one end-to-end analytics or ML project (problem framing data model/analysis decision or deployment).Working knowledge of experimentation (A/B testing) and common pitfalls; comfort explaining statistical reasoning simply.Exposure to LLM application development (prompting, a small RAG prototype, or integrating an LLM into a workflow).ML engineering fundamentals: Git, code reviews, basic testing mindset, and ability to build/maintain a simple API or batch pipeline.Data quality mindset: you proactively validate inputs/outputs and can implement basic checks (freshness, nulls, ranges, duplicates).Responsible AI awareness: privacy/PII, security basics, bias considerations, and safe deployment practices.Communication skills: you can present to mixed audiences and write clear docs (assumptions, approach, results, recommendations).Comfort in a consulting-style environment: shifting context, collaborating with client teams, and managing expectations professionally. Nice To Ha
https://www.jobplacements.com/Jobs/D/Data-Scientist-AIML-Remote-1262245-Job-Search-02-13-2026-04-09-59-AM.asp?sid=gumtree
7d
Job Placements
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