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Results for data science in "data science" in Jobs in Johannesburg in Johannesburg
1
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Job Purpose The Gijima Data Strategist is responsible for developing and implementing data strategies that drive business growth, improve decision-making, and enhance operational efficiency. Sound Data strategies are required for the successful implementation of the Enterprise AI Strategy as well as Enterprise Automation. The ideal candidate will have a strong background in data analysis, business acumen, and strategic thinking.Formal EducationGrade 12A degree in Data Science, Computer Science, or related field. Work ExperienceMinimum 10 years of experience in the ICT industry.Minimum 5 years of experience in data analysis, science or strategy.Strong understanding of data modeling, machine learning, and statistics.Proficiency in data visualization tools and programming languages.Excellent communication and project management skills.Business acumen and understanding of industry trends.Experience with data governance and quality assurance.Strong problem-solving and analytical skills.Experience with cloud based data platforms. Key Skills and CapabilitiesSkill requirements consist of the following:Strategic thinking and planning.Technical Skills in terms of Data Extraction, Data Preparation, Data Visualisation, Data Warehousing and Data Modelling based on complex data sets.Mathem
https://www.executiveplacements.com/Jobs/D/Data-Strategist-1264180-Job-Search-02-19-2026-10-07-42-AM.asp?sid=gumtree
5d
Executive Placements
1
This position is ideal for an analytically strong, commercially minded individual who enjoys solving complex problems and working closely with business stakeholders to embed insights into operational processes. The successful candidate will also play a key role in guiding junior analysts and elevating analytical capability across the team.Key Responsibilities: Develop, validate, and operationalise predictive models for defaults, collections, profitability, and forecastingTranslate business strategy into practical data-driven solutions with measurable impactDeliver and present customer analytics, including segmentation, behavioural insights, profitability, and telematics analysisWork closely with business stakeholders to embed insights into daily operationsDrive creative problem-solving using data to shape recommendations and influence decisionsTransform fragmented data sources into clear, actionable business insightsMentor junior analysts and lead end-to-end delivery of insight initiativesJob Experience and Skills Required:Education:Degree in Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative fieldExperience:58+ years in analytics, insights, or data science rolesProven experience building predictive models beyond standard credit risk modellingTrack record of transforming messy, multiâ??source datasets into business-ready insightsStrong background in customer analytics (segmentation, profitability, behaviour, telematics)Experience partnering with stakeholders and embedding data insights into operationsExposure to strategic, innovation, or commercial projectsExperience mentoring or coaching junior team membersSkills:SQL: Advanced levelPower BI: Strong capability including data modellingPython: Proficient for analytics and modellingStrong data storytelling and insight presentation skillsCommercial mindset with ability to influence decisionsExcellent stakeholder management and communication abilitiesCreative problemâ??solving with a dataâ??first approachFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.executiveplacements.com/Jobs/S/Senior-Data--Predictive-Analytics-Specialist-1264990-Job-Search-02-23-2026-04-14-29-AM.asp?sid=gumtree
2d
Executive Placements
1
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Company and Job Description: Office based with flexibilityCollaborative and dynamic team environmentOpportunities for professional development and growthKey Responsibilities: Collect, clean, and prepare structured and unstructured financial data for BI and analyticsSupport machine learning model development, performance evaluation, and feature engineeringBuild Power BI reports to communicate insights clearly to stakeholdersCollaborate with cross-functional teams to deliver relevant, data-driven insights and automationContinuously improve processes while staying current with data analytics tools and best practicesJob Experience and Skills Required: Bachelors degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field02 years experience in data analysis, preferably within the finance industryProficiency in Python (pandas, matplotlib, scikit-learn) and basic SQLExperience with Power BI, Excel, and reporting tools; familiarity with financial data platformsExposure to data pipelines, Git, and cloud environments is advantageousApply now!
https://www.jobplacements.com/Jobs/G/Graduate-Data-Scientist-1257487-Job-Search-01-30-2026-04-15-08-AM.asp?sid=gumtree
6h
Job Placements
1
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Senior AI Engineer Role OverviewThe Senior AI Engineer is responsible for designing, building, deploying, and maintaining advanced AI and machine-learning systems, with a strong focus on cloud platforms and modern, scalable architectures. This role leads the full lifecycle of AI products from solution design and feature engineering to model development, deployment, monitoring, governance, and optimisation.The position plays a key role in delivering predictive analytics solutions across clients, partnering closely with business stakeholders, data engineers and subject matter experts.Key Responsibilities:Lead end-to-end AI product development, including design, feature engineering, model building, deployment, monitoring, and continuous optimisation.Identify and test innovative data science techniques for predictive analytics use cases in healthcare.Assist with research on emerging Data Science and AI trends, specifically for healthcare applications.Engage business stakeholders during discovery to identify problems/opportunities, gather requirements, and define expected modelling outcomes.Partner with stakeholders to shape approaches to key business challenges and contribute to new business strategies.Develop conceptual designs and models to address business requirements.Collaborate with subject matter experts to select relevant data sources and ensure solutions align with business needs.Work closely with the Data Engineering team to acquire internal and external data and manage data utilisation.Support governance, model monitoring, and operational excellence in production environments.Qualifications:Degree (Honours, Master’s, or PhD) in Statistics, Computer Science, Engineering, Mathematics, or a related quantitative field.https://www.executiveplacements.com/Jobs/A/AI-Engineer-1262903-Job-Search-02-16-2026-07-00-15-AM.asp?sid=gumtree
9d
Executive Placements
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Role Overview:Youll design, develop, and deploy advanced predictive models that influence strategic business decisions. As a senior data specialist, youll work across the full model lifecycle from data exploration and feature engineering to deployment and optimisation ensuring that solutions are scalable, reliable, and production-ready. Key Responsibilities:Develop, train, validate, and deploy machine learning modelsApply statistical and predictive techniques to solve complex business problemsEvaluate model performance and continuously optimise algorithmsPrepare and transform large datasets for modellingEnsure the scalability, reliability, and security of predictive systemsAutomate model pipelines and workflowsPartner with stakeholders to define modelling objectives Education & Experience:Degree in Information Technology, Computer Science, or Data Science5+ years experience developing and deploying machine learning modelsProven experience in predictive modelling and advanced analyticsStrong problem-solving and analytical mindsetApply Today!
https://www.jobplacements.com/Jobs/D/Data-Scientist-1264026-Job-Search-02-19-2026-00-00-00-AM.asp?sid=gumtree
5d
Job Placements
1
Join a company filled with like-minded individuals who deliver quality solution delivery services and prioritize flexibility in work arrangements, embracing both remote and hybrid models. As a Data Scientist you will be accountable for designing, producing, analysing, documenting and enhancing a range of predictive models across the entire life cycle. Responsibilities: Analyse complex datasets to identify trends, patterns, and correlations relevant to business objectives.Develop predictive models and machine learning algorithms to forecast customer behaviour, optimise resource allocation, and improve operational efficiency.Collaborate with stakeholders to define key performance indicators (KPIs) and develop metrics for measuring the success of data science initiatives.Design and implement data visualisation tools and dashboards to communicate insights effectively to non-technical stakeholders.Stay current with emerging technologies and best practices in data science, machine learning, and artificial intelligence.Translate business requirements into technical solutions.Work closely with cross-functional teams to analyse large datasets, develop predictive models. Qualifications and Experience: Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field.3+ years of experience in data analysis, machine learning, and predictive modelling.Associate level MS CertificationsProficiency in programming languages such as Python, Java, or SQL.Experience working with large datasets and data manipulation tools (e.g., Pandas, NumPy) will be beneficial.Familiarity with cloud computing platform Azure.Knowledge of big data technologies (e.g., Hadoop, Spark).Experience with data visualization tools (e.g., Tableau, Power BI, Grafana). The Reference Number for this position is NG60589 which is a Permanent position based in Johannesburg offering a cost to company from R600k up to R800k per annum negotiable on experience and ability. Contact Nokuthula at
https://www.executiveplacements.com/Jobs/D/Data-Scientist--Johannesburg--up-to-R800k-per-an-1203408-Job-Search-7-16-2025-2-28-12-AM.asp?sid=gumtree
7mo
Executive Placements
1
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Key Responsibilities:Analyse complex datasets to identify trends, patterns, and correlationsDevelop, implement, and validate machine learning algorithms and statistical modelsBuild and operationalise predictive models to generate actionable insightsDesign and support reporting and analytics platformsDevelop BI solutions using SQL, ETL scripting, and Microsoft BI toolsBuild scalable data pipelines for structured and unstructured dataAutomate recurring data and reporting processesCollaborate with cross-functional teams including actuaries, underwriters, and analystsTranslate business requirements into analytical and data science solutionsMonitor, troubleshoot, and support analytics and BI environmentsJob Experience and Skills Required:Education:Bachelors Degree or Diploma in Informatics, Computer Science, Statistics, Mathematics, Information Technology or related industries.Experience:4+ years experience as a Data Scientist or in a similar analytics-focused roleStrong experience developing Business Intelligence solutions in mid-size or large environmentsExtensive experience with T-SQL and Microsoft SQL ServerHands-on experience with Power BI, Azure Data Factory, Azure Synapse Analytics (essential)Strong programming experience with Python or R (Java / C# advantageous)Experience with machine learning libraries (TensorFlow, PyTorch, scikit-learn)Strong understanding of statistical concepts, data modelling, and experimental designExperience working with big data technologies (Spark, Hadoop, Kafka advantageous)Exposure to cloud platforms (Azure, AWS, or GCP)Understanding of the financial services or insurance industry. Apply now!
https://www.jobplacements.com/Jobs/D/Data-Scientist-1263411-Job-Search-02-17-2026-10-12-04-AM.asp?sid=gumtree
7d
Job Placements
1
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You will be responsible for taking complex datasets, identifying the signals that matter, and converting them into actionable insights that influence strategy across the business. The ideal candidate not only understands data, but understands the business story behind it someone who can think critically, challenge assumptions, and shape solutions that make a measurable impact. This role is perfect for someone who thrives on solving complex problems, enjoys partnering with business stakeholders, and is energized by delivering advanced analytical insights that drive decisionâ??making. Nonâ??Negotiable Experience:Integrating data from multiple sources and identifying meaningful trendsDeveloping and implementing operationalized, scalable data solutionsStrong experience in predictive modelling and machineâ??learning approachesDeep customer analytics exposure, including:SegmentationProfitabilityBehavioral analyticsTelematics dataProven ability to translate analytics into measurable business outcomes Minimum Requirements:Qualifications:Degree in Mathematics, Statistics, Data Science, or a related quantitative fieldExperience:58+ years in analytics and insights, preferably within a commercially driven environmentTechnical Skills:Strong working knowledge of SQL and PythonExperience with data visualization tools (Power BI, Tableau, or similar) is advantageousComfort working with large, complex datasets and modern data environments Why This Role?: Youll join a forwardâ??thinking, highly collaborative, and dataâ??driven team where analytics is truly embedded in every strategic decision.Youll have the opportunity to:Build predictive models that directly influence operational and strategic outcomesLead analytical initiatives that impact core business performanceWork with stakeholders who value insightâ??driven thinkingHelp shape the analytics culture and contribute to continuous improvement If you enjoy complex problemâ??solving, building models that have real business impact, and shaping strategy through analytics, this is the perfect next step. Apply Now: If youre looking for a role where your analytics skills will be stretched, sharpened, and celebratedthis is it. Apply now! For more exciting Finance & Analytics vacancies, please visit:
https://www.executiveplacements.com/Jobs/I/Insights-Analyst-1264490-Job-Search-02-20-2026-00-00-00-AM.asp?sid=gumtree
2d
Executive Placements
1
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You will be responsible for taking complex datasets, identifying the signals that matter, and converting them into actionable insights that influence strategy across the business. The ideal candidate not only understands data, but understands the business story behind it someone who can think critically, challenge assumptions, and shape solutions that make a measurable impact. This role is perfect for someone who thrives on solving complex problems, enjoys partnering with business stakeholders, and is energized by delivering advanced analytical insights that drive decisionâ??making. Nonâ??Negotiable Experience:Integrating data from multiple sources and identifying meaningful trendsDeveloping and implementing operationalized, scalable data solutionsStrong experience in predictive modelling and machineâ??learning approachesDeep customer analytics exposure, including:SegmentationProfitabilityBehavioural analyticsTelematics dataProven ability to translate analytics into measurable business outcomes Minimum Requirements:Qualifications:Degree in Mathematics, Statistics, Data Science, or a related quantitative fieldExperience:58+ years in analytics and insights, preferably within a commercially driven environmentTechnical Skills:Strong working knowledge of SQL and PythonExperience with data visualization tools (Power BI, Tableau, or similar) is advantageousComfort working with large, complex datasets and modern data environments Why This Role?:
https://www.executiveplacements.com/Jobs/I/Insights-Analyst-1265954-Job-Search-02-25-2026-04-14-05-AM.asp?sid=gumtree
6h
Executive Placements
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Additional Skills and Qualifications:BCom Information Systems qualifications, BSc. Computer Science or any other relevant qualificationMinimum 6 years of experience as an IT Business Analyst with at least 3 years working on data projects.Proficiency in SQL for querying and manipulating data from relational databases.Proven experience with API Swagger/OpenAPI specificationStrong excel skillExperience having worked on data driven projects: ETL, Data Warehousing, Big DataExperience working on products built on AWSExperience with Atlassian products, particularly Confluence and Jira
https://www.executiveplacements.com/Jobs/B/Business-Analyst-Risk-Systems-1262826-Job-Search-02-16-2026-04-32-51-AM.asp?sid=gumtree
9d
Executive Placements
1
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Our client is seeking a data-driven and detail-oriented Data Analyst to join their team. This role is critical in transforming data into actionable insights that support strategic and operational decision-making across the business. Role PurposeDeliver insights from structured and unstructured data to support business decisions. QualificationsBSc in Statistics, Data Science, or related field; 3+ years of experience in analytics. Key ResponsibilitiesClean, analyze, and visualize operational and financial data.Build dashboards using Power BI, Microsoft Fabric, SAP Analytics Cloud (SAC), and Python.Support business reporting needs across departments. Skills & CompetenciesProficiency in SQL, Microsoft Fabric, Power BI, and advanced Excel.Strong business acumen and understanding of operational data.Experience with ETL processes and data modeling.
https://www.executiveplacements.com/Jobs/D/Data-Analyst-1196135-Job-Search-06-20-2025-04-09-01-AM.asp?sid=gumtree
8mo
Executive Placements
1
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Duties & Responsibilities:Develop and maintain robust data pipelinesDesign scalable architectures for structured and unstructured dataEnsure data quality, security, and availabilityCollaborate with BI, Data Science and Engineering teamsQualifications & Experience:Degree in Computer Science, Information Systems, or related fieldProficiency in SQL, Python, Spark, and ETL toolsExperience with cloud data platforms (BigQuery, Redshift, Snowflake)Familiarity with orchestration tools (Airflow, DBT) a plusRoles may be remote or on-site depending on client location and project scope.
https://www.executiveplacements.com/Jobs/D/Data-Engineer-1202485-Job-Search-07-11-2025-10-01-11-AM.asp?sid=gumtree
7mo
Executive Placements
1
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Key Responsibilities:Design, develop, and maintain BI solutions including data models, dashboards, and reports.Build and optimise ETL/ELT processes to integrate data from multiple sources.Develop and maintain data warehouses and data marts.Create interactive dashboards and reports using Power BI or similar BI tools.Ensure data accuracy, consistency, and alignment with business requirements.Work closely with business stakeholders, data engineers, and analysts to deliver insights.Support data governance, data quality, and reporting standards.Troubleshoot and optimise BI performance and data refresh processes.Job Experience and Skills Required:Education:Degree in Information Technology, Computer Science, Data Science, or a related field.Experience:3+ years experience in a BI Developer or similar role.Strong experience with SQL and relational databases.Hands-on experience with Power BI (DAX, Power Query).Experience building and maintaining data warehouses (star/snowflake schemas).Strong experience with ETL tools such as SSIS, Azure Data Factory, or similar.Experience working with large datasets and multiple data sources.Solid experience of data modelling, data quality, and performance optimisation.Exposure to cloud data platforms (Azure, AWS, or GCP).Familiarity with Python or other scripting languages.Experience in financial services or regulated environments.Apply now!
https://www.executiveplacements.com/Jobs/B/BI-Developer-1262115-Job-Search-02-12-2026-22-14-05-PM.asp?sid=gumtree
12d
Executive Placements
1
Join a dynamic, dataâ??driven organisation where analytics and optimisation power key business decisions across insurance and automotive operations. You will play a critical role in transforming complex data into meaningful insights that influence pricing, claims, operations, and strategic initiatives.This position is ideal for a motivated graduate or junior analyst with a strong actuarial foundation and an appetite for handsâ??on analytics. You will gain exposure to pricing studies, operational investigations, dashboard development, market research, and endâ??toâ??end portfolio insights.Why Work Here?:Exceptional analytical exposure across multiple insurance functionsGrowth environment with handsâ??on learning and mentorshipOpportunity to build technical models and dashboards from scratchA role that blends actuarial science, analytics, and business insightA chance to make measurable impact early in your careerWhats In It For You?:Skill development, crossâ??functional exposure, strong mentorship, and the opportunity to shape commercial and technical decisions through analytics.Key Responsibilities:Analyse insurance portfolio trends including claims, premiums, risk mix, cancellations, and sales behaviour.Build dashboards and MI reports using Power BI, SQL, and Excel.Validate actuarial and business data used for reporting and decision-making.Support identification of operational inefficiencies using analytics.Build and maintain data models for forecasting and operational reporting.Investigate anomalies and unexpected trends, including rootâ??cause analysis.Conduct trend investigations (e.g., hijacking, fire/theft, frequency).Collaborate with IT and data engineering teams to enhance data quality.Assist with automation and improvement of reporting processes.Monitor KPIs across underwriting, pricing, claims, and operations.Prepare insight summaries and presentations for management.Assist the actuarial team with data extraction, cleaning, and reconciliation.Document data flows, business rules, and processes for audit purposes.Support basic pricing experience studies (frequency and severity).Assist with reserving data preparation and triangulation checks.Provide analytical support for strategic and operational projects.Integrate new data sources into reporting frameworks.Conduct competitor benchmarking and market research.Assist with business cases for new initiatives or enhancements.Monitor economic, regulatory, and industry trends impacting the portfolio.Build models supporting parts sourcing, cost efficiency, and supplier performance.Develop vehicle assessment models for pricing, sales channels, and refurbishment decisions.https://www.executiveplacements.com/Jobs/A/Actuarial-Analyst--Business-Optimization-1263488-Job-Search-02-18-2026-00-00-00-AM.asp?sid=gumtree
6d
Executive Placements
1
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Key Responsibilities:Data Engineering & Pipeline ManagementDesign, build, and optimize T-SQL stored procedures, functions, and scripts for high-volume data processing and ECM scoring.Develop, deploy, and monitor end-to-end ETL/ELT workflows (e.g., SQL Server Agent, SSIS, Azure Data Factory, or Airflow) with checkpoint/rollback, job tracking, and recovery capabilities.Perform data cleansing, preparation, and transformation to support business intelligence and machine learning workflows.Engineer and maintain reusable feature store tables (per entity/tax type) for ML models and operational scoring.Model and maintain data warehouse structures (3NF, dimensional/star/snowflake), ensuring proper documentation of data lineage.Prepare and deliver curated, scored datasets for downstream consumption in Power BI dashboards and analytics environments.Develop and maintain audit, telemetry, and job tracking tables to ensure data reliability, restartability, and monitoring visibility.Support and troubleshoot production pipelines, optimizing query performance via indexing, tuning, and profiling tools. Data Quality, Governance, and ComplianceImplement and monitor data validation, reconciliation, and QA frameworks across the data lifecycle.Enforce data security, privacy, and compliance controls in line with corporate and regulatory standards.Support the implementation of data governance and lineage documentation, ensuring traceability and adherence to EDM policies. Collaboration and Cross-functional SupportCollaborate with data analysts, data scientists, software engineers, and business stakeholders to translate business problems into scalable data solutions.Provide accessible, well-documented datasets to support analytics and reporting.Contribute to all phases of the SDLC, including requirements, design, development, testing, deployment, and maintenance. Qualifications and Experience:A tertiary qualification in Computer Science, Information Systems, Data Engineering, Analytics, Mathematics, or Statistics or Matric with 6-8 years of experience in data engineering, database development, or data management in production environments.Proven hands-on experience with SQL Server, including advanced T-SQL development, ETL/ELT workflow design, and performance tuning.Demonstrated delivery of production data solutionsboth batch and near real-timewithin enterprise environments.Experience in building and maintaining data warehouses, feature stores, and reusable data products.Track record of implementing data governance and quality frameworks, ensuring compliance and traceability.Experience
https://www.executiveplacements.com/Jobs/D/Data-Engineer-1264975-Job-Search-02-23-2026-04-10-11-AM.asp?sid=gumtree
2d
Executive Placements
1
Our client is a leading provider of customer communication management and document automation technologies. As a Professional Services Implementation Developer, you will play a key role in developing, maintaining, and optimising dataâ??driven document composition workflows for highâ??profile clients.This role is ideal for someone who enjoys working across data transformation, scripting, workflow logic, testing, and production deployment. You will collaborate with crossâ??functional teams, support new customer implementations, and contribute to standardising and improving platform outputs.Key ResponsibilitiesProcess and transform customer data across varied formats including XML, Excel, ANSI/ASCII, and Postscript.Build and maintain document templates and workflows for print, mail, and digital output using enterprise composition platforms.Develop scripts and programs for data validation, automation, and process efficiency (Python, C#, PowerShell).Troubleshoot and resolve issues related to data processing, workflow logic, and endâ??toâ??end document automation.Collaborate with project managers and developers to deliver customer onboarding and workflow enhancement projects.Support testing, deployment, production acceptance, and maintain clear technical documentation.Job Experience and Skills RequiredBachelors degree in Computer Science, or equivalent experience.23+ years in data processing, scripting, or software development.Experience working with Python and/or C# / PowerShell.Ability to work under tight deadlines and manage multiple projects.Skills & Preferred ExperienceExperience with Quadient Inspire or OpenText Exstream (advantageous).Variable data programming and printâ??andâ??mail exposure.SQL Server experience, including stored procedures and database familiarity.Knowledge of Unix shell or Windows PowerShell.Strong analytical, communication, and documentation skills.Proficiency in Microsoft Office; Adobe Suite is a plus.Understanding of API integrations and omniâ??channel communication workflow design.Apply now!
https://www.executiveplacements.com/Jobs/P/Professional-Services-Implementation-Developer-1263651-Job-Search-02-18-2026-04-13-09-AM.asp?sid=gumtree
7d
Executive Placements
1
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This exciting opportunity sits within a forward-thinking organisation that invests heavily in data innovation, advanced analytics, and digital transformation. As a Senior Data & Insights Analyst, you will play a key role in driving strategic insight delivery across the business, working with cutting-edge tools, advanced modelling techniques, and complex datasets.Youll join a collaborative team that values curiosity, problem-solving, and continuous improvement. With exposure to senior stakeholders, diverse datasets, and high-impact projects, this role is ideal for someone who thrives on solving meaningful business challenges through data.Enjoy the autonomy to shape analytical direction, mentor junior analysts, and deliver insights that directly support commercial growth and customer excellence.Key Responsibilities:Analyse complex, fragmented, and large-scale datasets to deliver actionable business insightsBuild advanced predictive models including defaults, collections, profitability, and forecastingDevelop robust data models and visualisations using SQL, Python, and Power BIPartner with key stakeholders to identify opportunities, translate requirements, and influence data-driven decision-makingJob Experience and Skills Required:Education:Relevant degree in Data Science, Analytics, Statistics, Computer Science, or a related fieldExperience:58+ years experience in analytics, insights, or advanced data rolesProven experience in SQL, Power BI, and strong data modelling capabilityHands-on Python proficiency and exposure to strategic or innovation projectsExperience building predictive models beyond standard credit scoring (defaults, collections, profitability, forecasting)Strong background in customer analytics: segmentation, behavioural insights, telematics, and profitability analysisExperience mentoring junior analysts and leading insight deliverySkills & Non-Negotiables:Solid analytical and problemâ??solving capabilityCommercially minded with strong stakeholder engagement skillsAbility to turn fragmented datasets into clear, actionable business insightsApply now!For more exciting Finance vacancies, please visit:
https://www.executiveplacements.com/Jobs/A/Analytics-Specialist-1263032-Job-Search-02-17-2026-00-00-00-AM.asp?sid=gumtree
7d
Executive Placements
1
Au Pair Needed in Dainfern area, R130/hour, Monday to Friday: 14:30 - 19:00, to look after 14yr old girl. (Au Pair SA Family # 58085).
Requirements:
- Own reliable car (not shared)
- Age 21-35yrs
Additional Info/Requirements:
- Assistance with Physical Science, Life Science, EMS, & English
TO APPLY: Please create an Au Pair SA profile - www.aupairsa.co.za - creating a profile is quick and easy, and the service is 100% free for au pairs.
Au Pair SA is South Africas most popular au pair service, with over 60,000 family profiles created to date.Job Reference #: 58085Consultant Name: Michael Longano
15d
Au Pair SA
1
I am recruiting on behalf of a leading short-term insurer for a Senior Pricing Specialist to take ownership of commercial pricing strategy, model governance, and product profitability. This is a senior technical role with people leadership and strong business influence.Role OverviewYou will lead pricing and product development for commercial lines short-term insurance, ensuring pricing sophistication, profitability, governance, and alignment with growth objectives.Key ResponsibilitiesLead and supervise actuarial and pricing resources.Translate complex actuarial outcomes into clear, business-facing insights.Develop, maintain, and enhance market-leading STI pricing models.Identify and implement data and rating factor enhancements.Own pricing model performance, monitoring results against experience and correcting weaknesses.Design and implement pricing strategies for new and existing products.Support innovation in product development while maintaining existing portfolios.Ensure robust governance across pricing development and deployment.Provide analytical and pricing advice to stakeholders using data-driven insights.Work with large datasets to extract commercial value.RequirementsBachelor’s Degree in Actuarial Science, Statistics, Business Sciences, or Business Mathematics.Qualified Actuary (FIA, FFA, or FASSA) highly advantageous.Minimum https://www.executiveplacements.com/Jobs/S/Senior-Pricing-Specialist--Short-Term-Insurance-1266049-Job-Search-02-25-2026-05-00-15-AM.asp?sid=gumtree
6h
Executive Placements
1
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Key Activities & ResponsibilitiesWork with stakeholders to ensure Al initiatives directly address Business priorities and objectives, such as revenue growth, cost reduction, or risk mitigationCreate comprehensive proposals for Al investments, outlining projected ROl, resource requirements, risks, and alignment with long-term strategic objectivesOversee financial planning and resource allocation for Al initiatives, ensuring optimal utilization of dedicated resources across business functionsEnable data-driven decision-making by using predictive models to evaluate the likelihood of success for Al initiatives and optimize their deployment strategiesFoster strong relationships with stakeholders to ensure alignment and support for Al initiatives, providing regular updates and insights that help stakeholders understand the value and impact of Al solutionsRegularly monitor performance of Al use cases to uncover inefficiencies, such as underperforming models or integration gaps, and recommend corrective actionsResearch emerging trends and technologies (e.g., generative Al, edge computing) and assess their potential applications to enhance performance and ROIImplement automated tools to track Al solution performance, user adoption rates, and deviations from expected outcomesEducation:Bachelors degree in Computer Science, Data Science, Engineering or a related technical fieldRelevant certifications in Al/ML, Data Analytics or Business Intelligence (preferred)Experience:8+ years of experience in Al Strategy, Data Analytics or Business IntelligenceHands on experience in Al Value realization, financial modeling or performance AnalyticsExperience working in fast paced telecom environmentStrong background in cloud-based Al solutions and Data driven decision makingExpertise in implementing Al monitoring tools and Business Intelligence solutionsDemonstrated ability to optimize Al investments through predictive analytics and continuous monitoring
https://www.jobplacements.com/Jobs/A/Al-Value-Realization--Reporting-1265993-Job-Search-02-25-2026-04-28-15-AM.asp?sid=gumtree
6h
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