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Results for workflow in "workflow", Full-Time in Jobs in South Africa in South Africa
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Analyse complex datasets to identify trends, patterns, and actionable insightsDevelop, implement, and validate machine learning algorithms and statistical modelsBuild predictive models to uncover insights that support business decisionsParticipate in the design, development, troubleshooting, and support of reporting and analytics platformsCollaborate with actuaries, underwriters, and multidisciplinary teams to embed data science solutions into core business workflowsDevelop BI solutions using SQL, ETL scripting, and the Microsoft BI StackBuild scalable data pipelines and infrastructure to process structured and unstructured dataAutomate recurring processes and monitor data-related workflows Skills & Experience:Bachelors degree or diploma in Informatics, Computer Science, Statistics, Mathematics, or Information TechnologyProven experience as a Data Scientist, ideally within life or nonâ??life insuranceProficiency in Python, R, Java, or related programming languagesMinimum 4 years experience with:Power BI (essential)Azure Data Factories (essential)Azure Synapse Analytics (essential)Microsoft SQL Server (critical)Tâ??SQL (critical)Python/R, C++, C#, Java (critical)Strong understanding of statistical concepts, data modelling, and experimental design.Experience with big data technologies (Hadoop, Spark, Kafka) and cloud platforms (AWS, Azure, GCP).Ability to communicate complex ideas clearly and collaborate across teams. Competencies:Ability to manage multiple tasks and react quickly to challenges.Strong predictive modelling skills and BI development experience.Excellent problem-solving capabilities and ability to translate business needs into data solutions.Understanding of financial services, particularly insurance, is desirable. Contact:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1259907-Job-Search-02-06-2026-04-13-39-AM.asp?sid=gumtree
20d
Job Placements
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The Site Supervisor is responsible for overseeing daily workshop and site operations related to truck servicing, tyre fitting, breakdown support, and fleet maintenance. The role ensures efficient workflow, high service quality, safety compliance, and customer satisfaction.Key ResponsibilitiesSupervise daily workshop and site activities involving truck repairs, tyre fitting, and breakdown servicesAllocate jobs to mechanics, tyre fitters, and breakdown teamsMonitor turnaround times and ensure jobs are completed efficiently and to standardInspect completed work to ensure quality and safety complianceCoordinate on-site and roadside breakdown assistanceEnsure correct use and maintenance of tools, equipment, and service vehiclesManage job cards, timesheets, and daily operational reportsLiaise with customers regarding job progress, delays, and service completionControl tyre stock, consumables, and workshop materialsEnforce company policies, procedures, and operational standardsHealth, Safety & ComplianceEnsure compliance with Occupational Health & Safety Act and road safety regulationsConduct toolbox talks and safety briefingsEnsure staff wear correct PPE at all timesReport and investigate incidents, accidents, and near missesStop unsafe work practices immediately Requirements & QualificationsGrade 12 / Matric (Minimumhttps://www.jobplacements.com/Jobs/S/Site-Supervisor-1263366-Job-Search-02-17-2026-07-00-15-AM.asp?sid=gumtree
9d
Job Placements
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Job Description:Mentor, lead and motivate a technical service team to consistently achieve best-in-class service outcomesOversee daily service operations, including planning, scheduling, workflow coordination, and quality assuranceBuild and maintain strong client relationships by resolving technical and service-related challenges with professionalism, urgency, and integrityManage departmental budgets and monitor key performance indicators to ensure operational efficiency and cost controlDrive strategic initiatives to strengthen team capability, accountability, and overall service performanceSkills & Experience: Minimum of five years experience leading technical or service teams, supported by strong mechanical and electrical knowledgePractical, hands-on experience with PLCs, SCADA, HMI systems, conveyors, and rotating equipmentProven ability to lead, mentor, and develop multidisciplinary technical teams in demanding environmentsStrong background in maintenance, field service, and workshop operationsExcellent communication and problem-solving skills, with a customer-focused and solutions-driven approachQualification:Degree in Mechanical, Electrical, Mechatronic Engineering, or a related fieldExperience managing technical service operations in an industrial environmentStrong knowledge of PLC, SCADA, and HMI systemsValid drivers license and willingness to travel locally and internationallyOnly South African Residents or individuals with a relevant South African work permit will be considered.Contact MATTHEW LOUW on
https://www.jobplacements.com/Jobs/T/Technical-Service-Manager-1262476-Job-Search-02-13-2026-10-16-55-AM.asp?sid=gumtree
12d
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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
13d
Job Placements
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Role OverviewThe company helps clients become data-driven by applying data + technology to create real-time,actionable visibility into business performance and to build lasting analytics capability. This role will helpexpand delivery capacity for pragmatic, production-grade analytics, ML, and GenAI solutions, so clientteams can move from interesting insights to deployed capabilities with measurable value. 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,
https://www.jobplacements.com/Jobs/D/Data-Scientist-AIML-1262240-Job-Search-02-13-2026-04-09-59-AM.asp?sid=gumtree
13d
Job Placements
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This role is for someone who can capture the magic of the bush, tell authentic conservation stories, and translate real moments into compelling visual content that inspires and engages audiences across digital platforms.Candidate requirements:Degree or Diploma in Film, Video, Media, or a related field or equivalent practical experienceSocial media and digital content creation experienceStrong visual storytelling ability with a creative, solutions focused mindsetExcellent photography and videography skills, including proficiency with camera equipmentHigh level of computer literacy and technical competenceExperience with sound recording and mixingStrong interpersonal and collaboration skillsAbility to work under pressure, meet deadlines, and manage multiple projectsPhysically fit and able to work long hours when requiredComfortable creating live content, stories, and real-time social media materialWillingness and ability to live and work in remote locations on a four-week operational cycleBased in Hoedspruit or willing to relocateCandidate responsibilities:Conceptualise and brainstorm creative video ideas aligned with marketing objectives.Plan, film, and edit video content for use across websites, social media platforms, and digital campaigns.Develop and present creative concepts and storyboards.Execute full post-production workflows, including reviewing footage, rough cuts, sound mixing, colour correction, motion graphics, and final edits using Adobe Premiere Pro and After Effects.Create multiple content outputs from a single shoot (e.g. reels, shorts, clips, long-form videos, stories).Capture both video and still photography content, including editing and post-processing images.Film on location in remote bush environments and campuses.Record and edit voice-overs where required.Collaborate closely with Marketing, Sales, and other internal stakeholders to ensure brand alignment.Adapt content style to suit different platforms, audiences, and brand needs.Manage project archiving, file organisation, and secure backups upon completion.Stay current with industry trends, tools, and platforms to keep content fresh and competitive.Assist in recruiting and managing a media intern for short-term projects when required.Support the setup and maintenance of a production and editing workflow for recording lectures and content for e-learning platform.
https://www.jobplacements.com/Jobs/V/VideographerSM-Presenter-1261354-Job-Search-02-11-2026-04-10-12-AM.asp?sid=gumtree
15d
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-1265955-Job-Search-02-25-2026-04-14-05-AM.asp?sid=gumtree
19h
Job Placements
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