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Results for data science in "data science" in Jobs in South Africa in South Africa
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Must have 5+ years experience as a Data Engineer/ Data Scientist. Must have applied data science and be involved in the production of AI/ML. Drive the analytical, statistical and programming interpretation of data to support decision making and drive business results. Gauteng based.
https://www.executiveplacements.com/Jobs/M/Manager-Data-Science-1254604-Job-Search-1-22-2026-6-25-17-AM.asp?sid=gumtree
2d
Executive 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-1254868-Job-Search-01-22-2026-00-00-00-AM.asp?sid=gumtree
2d
Job Placements
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If youre a detail-oriented data professional with strong SQL and Power BI skills who enjoys working with complex, high-volume datasets, this role is worth serious consideration, and offers meaningful exposure to enterprise-level data within the insurance and financial services sector.Role Overview:As a Data Engineer, you will play a crucial role in ensuring the accuracy, completeness, and reliability of data transformation processes. You will work closely with colleagues to deliver validated, actionable outputs from complex datasets.Key Responsibilities:Understand and work with existing team data processes, tools, and frameworks.Support data transformation from multiple input systems (e.g., DINO, local SQL databases) into concise, validated outputs for business teams.Perform thorough validation and verification checks to ensure data accuracy and completeness.Identify, document, and communicate data errors clearly and concisely.Collaborate with the data team to implement and track solutions for data issues.Technical Requirements & Expertise:Strong proficiency in Microsoft SQL for data ingestion, transformation, and analysis.Advanced skills in Microsoft Excel, including Power Query, Power Pivot, and Power BI.Ability to organise, manipulate, and analyse large datasets.Knowledge of life insurance products is advantageous.Qualifications & Background:Bachelors degree in Science, IT, Actuarial Science, Data Science, or a related discipline.Minimum of four years relevant professional experience in data analysis, data management, or business intelligence.Ability to work independently with strong attention to detail.Excellent communication and interpersonal skills to work effectively with both technical and non-technical stakeholders.Ability to work under pressure and meet deadlines in a fast-paced environment.
https://www.executiveplacements.com/Jobs/D/Data-Engineer-1255173-Job-Search-01-23-2026-04-25-01-AM.asp?sid=gumtree
1d
Executive Placements
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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
1d
Executive Placements
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What Youll Be DoingWorking with large, complex datasets to unlock insights and business valueBuilding and enhancing predictive models to drive smarter debt recovery strategiesApplying machine learning and AI techniques to optimize internal processesCollaborating with teams across the business to support data-driven decisionsUsing your knowledge of Python, R, and SQL to automate, explore, and visualize dataGetting hands-on mentorship while contributing from day oneWhat Were Looking ForRecent graduate in Data Science, Mathematics, Actuarial Science, Statistics, or a related quantitative fieldOR up to 1 year of experience in a data-focused role (bonus if its in financial services, credit, or fintech)Experience with machine learning, AI, or similar projects done during your degree or personal studiesA true passion for data and solving real-world problems using analyticsComfortable working in a fast-paced, dynamic and corporate environmentTechnical proficiency in Python, R, and SQLA team player with excellent communication skills and a curious, growth-driven mindsetWhy Join Us?Be part of a company making real impact in the financial health spaceFull-time, onsite role in vibrant central Cape TownLearn and grow under experienced mentors while tackling real business challengesRoom to grow and eventually take on more senior data science responsibilitiesReady to launch your data science career?If youre a rising star in the world of analytics and looking for your next big challenge we want to hear from you!
https://www.jobplacements.com/Jobs/J/Junior-Data-Scientist--Machine-Learning--AI-1203979-Job-Search-07-17-2025-04-13-13-AM.asp?sid=gumtree
6mo
Job Placements
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ENVIRONMENT:One of SA’s fastest growing Fintech brands is on the hunt for a Head of Data who will lead the group’s Data function and will be accountable for delivery, governance adoption, and alignment with business priorities. The role focuses on leadership, execution, and clarity, rather than acting as a hands-on technical specialist. KEY RESPONSIBILITIESLead and coordinate the Data function, including data engineering, BI/analytics, and data science.Own the data roadmap and delivery commitments in line with the groups priorities.Ensure practical data governance, ownership, and accountability are embedded.Partner with Finance, Operations, and Group stakeholders on reporting and decision support.Lead, coach, and performance-manage the data team.Ensure data controls, access, and quality standards are applied.Communicate progress, risks, and trade-offs clearly to senior stakeholders. Operating ModelThe role leads outcomes, structure, and alignment across the Data function.Deep technical mentorship is provided by an internal Technical Lead within the team.External specialist support may be used selectively where needed. REQUIREMENTSBachelor’s or masters in Data Science, computer science, statistics or any other related analytical fieldAdvanced degrees: MBA or masters in information systems are highly beneficial for this strategic, leadership-focused role.Experience leading teams delivering data, analytics, or enterprise systems.Strong change management and governance implementation capability.Comfortable working with senior executives and technical specialists.Clear, structured communicator with a focus on outcomes.Experience in complex or regulated environments is an advantage.Hands-on coding or deep technical expertise is not required. ATTRIBUTESCalm, structured leadership style.Strong sense of ownership and accountability.Comfortable driving clarity in ambiguous situations.Trusted by both technical and business stakeholders.
https://www.executiveplacements.com/Jobs/H/Head-of-Data-1255278-Job-Search-01-23-2026-05-00-18-AM.asp?sid=gumtree
1d
Executive Placements
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Typical Duties and Responsibilities:Analysis, Modelling and Design:Perform problem analysis to understand the underlying causes, factors, and implicationsDevelop insights and identify requirements for solutions. Perform exploratory data analysis (EDA) to understand data patterns, trends, and relationshipsQualifications:Domain Relevant certificationsDegree in Electrical Engineering, Computer Science, Data Science, Statistics, Mathematics, or a related fieldWork Experience:- Experience in problem solving and root cause analysis. - Exposure to the utility industry advantageous but notrequired. - Proven record of experience with data manipulation,data visualisation, and statistical analysis libraries (e.g.Pandas). - Proven application of machine learning frameworksand statistical modelling techniques. Project Experience:- Proven business analysis capability, working onmultiple and complex projects. - Proven project management capability.
https://www.executiveplacements.com/Jobs/L/Lead-Systems-Analyst-1254227-Job-Search-01-21-2026-04-33-36-AM.asp?sid=gumtree
3d
Executive Placements
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This is an entry-level research role ideal for recent MSc or PhD graduates who love lab work, data, and turning science into insight.Melrose, JohannesburgKey ResponsibilitiesResearch and test battery materials (cathodes, anodes, electrolytes)Design and run laboratory experiments and material characterizationAnalyse experimental data using statistical tools, AI techniques, or Power BISupport electrochemical testing and interpret performance resultsPrepare technical reports and research documentationCollaborate with R&D, data, and manufacturing teamsStay current with battery technology and materials science trendsMinimum RequirementsMSc or PhD in Chemistry, Materials Science, Electrochemistry, or similar1 year research or industry experienceStrong understanding of battery chemistryExposure to data analysis, AI/ML concepts, or Power BISolid lab safety knowledge and research disciplineNice-to-HavesBattery characterization techniques (XRD, SEM, TEM, BET)Python or MATLAB for data analysisStrong analytical and problem-solving skills
https://www.jobplacements.com/Jobs/B/Battery-Materials-Research-Engineer-Energy-Storage-1253608-Job-Search-1-21-2026-7-11-39-AM.asp?sid=gumtree
4d
Job Placements
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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 solutions Perform exploratory data analysis (EDA) to understand data patterns, trends, and relationshipsDefine 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 requirementsApplication of Energy sector knowledge and theory into solutions and products focused on customer valueQualifications:Certificate Domain relevant certificationsDegree in Electrical Engineering, Computer ScienceDomain-relevant certifications. Degree in Electrical Engineering, Computer Science, Data Science, Statistics, Mathematics, or a related fieldPreferred Degree in Electrical EngineeringExperience to do the job:At Least 3 years of industry experience in a system Analyst role or similar
https://www.executiveplacements.com/Jobs/I/Intermediate-Systems-Analyst-1254228-Job-Search-01-21-2026-04-33-36-AM.asp?sid=gumtree
3d
Executive Placements
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Our client is the leading provider of cell captive and alternative risk transfer solutions, enabling organisations to manage risk more effectively and innovate with confidence. Their unique structures allow clients to operate their own insurance products within a secure, ring-fenced environment without the complexity of establishing a licensed insurer. This role offers genuine strategic influence. Youll embed a data-driven culture across the organisation, guide senior decision-making, and work with modern cloud-based technologies in a progressive, future-focused environment. This is a senior leadership position where your expertise will directly shape the future of data, analytics, and governance across the enterprise. Youll define standards, influence investment decisions, and ensure that data is trusted, compliant, and commercially valuable.Key Responsibilities: Define and drive the enterprise-wide data and analytics strategy, aligned to business objectivesLead and embed robust data governance, quality, and compliance frameworks across all business unitsEstablish and enforce data architecture standards to ensure consistency, transparency, and scalabilityBuild, mentor, and lead a high-performing data and analytics team, fostering accountability and collaborationPartner with senior stakeholders to translate business priorities into scalable data solutionsJob Experience and Skills Required:Education:Bachelors degree in Data Science, Statistics, Actuarial Science, Mathematics, Computer Science, or a related fieldMasters degree preferredExperience:8+ years experience in data, analytics, or technology roles within insurance, banking, or telecommunicationsMinimum of 3 years experience in a people leadership roleProven success bridging business and technology to deliver enterprise-wide data initiativesSkillsStrong hands-on expertise in Azure Synapse, SQL, and data integration platformsSolid understanding of South African data governance, regulatory, and compliance requirementsDemonstrated ability to execute analytics use cases and lead effective data governance frameworksNon-Negotiables:Proven track record in implementing enterprise-scale data governance and analytics frameworksAbility to influence at executive level and drive change across complex organisationsFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/L/Lead-Data-Governance-1252978-Job-Search-01-18-2026-22-13-59-PM.asp?sid=gumtree
5d
Job Placements
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What Youll Do:Collect, clean, and transform financial dataAssist with building and refining machine learning modelsSupport anomaly detection and automation toolsCreate impactful dashboards and reports in Power BICollaborate with Engineers, Analysts, and business teamsIdentify ways to improve data workflows and insightsWhat Youll Bring:A Degree in Data Science, Statistics, Finance, Computer Science, or a related field02 years experience (interns welcome!)Proficiency in Python (pandas, matplotlib, and scikit-learn)Basic SQL and familiarity with Power BI and ExcelStrong analytical thinking and communication skillsIf youre ready to launch your career in data science, then apply today.
https://www.jobplacements.com/Jobs/J/Junior-Data-Scientist-1249817-Job-Search-01-09-2026-04-14-01-AM.asp?sid=gumtree
12d
Job Placements
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Key ResponsibilitiesLead the transformation of Client Partners into AIâ??enabled strategic advisors through structured 120â??day capability roadmapsOrchestrate collaboration with Data Sciences teams to embed predictive models into client journeys and ROIâ??driven storytellingDrive Câ??suite relationships, enhancing retention and expansion through continuous insight and sentiment monitoringAlign crossâ??functional roadmaps with Product and Data Science teams to convert multiâ??source insights into influential contentEstablish KPIs, governance, and agile feedback loops that enable a highâ??performing humanâ??AI hybrid advisory capabilityJob Experience and Skills RequiredEducationMBA or BSc in Business, Marketing, Insights, or related fieldCertifications in AI strategy, prompt engineering, or data storytelling (advantageous)Experience12+ years in insights, consulting, CX, or strategy, with 5+ years leading teams in productâ??led researchProven success in African markets and AIâ??driven transformationStrong track record engaging the Câ??suite and driving revenue growthSkillsHybrid leadershipcoaching teams in AI literacy, insight storytelling, and CRM orchestrationAbility to operate in matrix structures with Data Science / Technology divisionsDeep understanding of ESOMAR ethics, predictive advisory, and insight commercialisationNonâ??negotiablesPassion for evolving traditional research into techâ??enhanced strategic valueAbility to merge human intelligence with AIâ??powered outputs to influence executive decisionâ??makingApply now!For more exciting Finance vacancies, please visit:
https://www.executiveplacements.com/Jobs/C/Chief-Data-Orchestrator-1254939-Job-Search-01-22-2026-22-14-19-PM.asp?sid=gumtree
1d
Executive Placements
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The Data Scientist is responsible for driving the analytical, statistical, and programming interpretation of data to support decision making and drive business results. The Data Scientist supports product, teams with insights gained from analysing company & customer data to provide business predictions, proposals, and recommendations to improve business outcomes.The role of the Data Scientist is to leverage internal and, where applicable, external datasets to build and evolve, using best practice methodologies and statistical techniques advancing to AI methodologies for the Group.Drive measurable business outcomes by turning data into automated decisions by building active tools triggering an automated action. The Data Scientist is also accountable for the execution & building the next generation foundational data infrastructure and enable delivery of actionable insights to value generating outcomes
https://www.executiveplacements.com/Jobs/M/Manager-Data-Science-Fintech-1237514-Job-Search-1-15-2026-7-34-56-AM.asp?sid=gumtree
10d
Executive Placements
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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
6mo
Executive Placements
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Requirements:A Certification in Data Science, Computer Science, or a related field is requiredA minimum of 2-3 years working experienceData analysis, reporting, and data-driven decision making are requiredExperience with data visualisation and dashboard tools (Power BI, ZOHO)Experience in conducting trend analysis and statistical analysis to identify patterns and insightsStrong knowledge of Excel (advanced functions, pivot tables)Familiarity with business intelligence (BI) platformsFamiliarity with Profit, Velocity, SAP, or similar operational systems (advantageous)Responsibilities:Monitor Attendance in real-time by tracking and comparing actual hours worked against planned hours, analysing variances and understanding reasons behind these variances, such as overtime, absenteeism, understaffing and rostering inefficiencies as well as looking for trends for the above.Collaborate with the workforce management team to adjust rosters and staffing decisions based on data insights to improve efficiency and ensure alignment with client requirements while maintaining optimum staffing solutions.Raise immediate escalations when actual attendance deviates from the planned schedule. (Workforce management)Escalate absence and lateness issues to the Workforce Management team for resolution in coordination with HR.
https://www.executiveplacements.com/Jobs/D/Data-Analyst-1204592-Job-Search-07-19-2025-02-00-15-AM.asp?sid=gumtree
6mo
Executive Placements
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Responsibilities: Collaborate with data stakeholders and business stakeholders to identify and gather relevant data sources and integrate data from various ICT systems. Design, develop and maintain interactive dashboards that monitor relevant metrics. Analyse data to identify trends, patterns, and anomalies; and translate data findings into actionable insights that support business decision-making. Leverage BI tools (e.g., Power BI, Grafana) and scripting (e.g., SQL, Python) to automate routine reporting tasks. Required Qualifications: Bachelors Degree or Advanced Diploma in Information Systems, Computer Science, Data Science, Business Intelligence, Information and Communication Technology (ICT), Statistics or a related quantitative field. Required Experience: At least 35 years of relevant experience in data analysis, reporting, or BI development. Experience analysing large datasets to extract actionable insights and creating and maintaining reports and dashboards using tools like Power BI, or Grafana. Familiarity with ICT environments, including network topology, systems, data flow. Hands-on experience with BI platforms and data visualisation tools. Exposure to ETL (Extract, Transform, Load) processes and tools. Recommendations: Technical Certifications, such as Microsoft Certified: Data Analyst Associate (Power BI), Certified Business Intelligence Professional (CBIP), and/or Azure or AWS Data Analytics Certifications. Advanced Technical Skills, such as Experience with cloud-based BI environments, Proficiency in Python for data analysis and automation, and experience with scripting for data cleaning, transformation, or API integration for data extraction from systems. Business Acumen & Communication, such as a strong
https://www.executiveplacements.com/Jobs/B/Business-Intelligence-Analyst-1204534-Job-Search-07-18-2025-10-23-29-AM.asp?sid=gumtree
6mo
Executive Placements
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Requirements:Educational background - Degree/diploma in computer science, digital transformation, finance or related degree/diploma.Professional experience - 8 - 10 years of working experience. Experience in data governance is highly advantageous.Project Management: - Demonstrated success in managing and coordinating projects involving diverse stakeholders. Proven ability to deliver projects on time and within scope.Data Visualization - Experience with Qlik Sense is required. Ability to create insightful data visualizations and reports to support data governance initiatives.Technical Proficiency - Experience in Abinitio as data governance tool is beneficialIndustry Knowledge - Prior experience in the telecommunications sector is a significant advantage.
https://www.executiveplacements.com/Jobs/G/Group-Data-Governance-Manager-1255385-Job-Search-01-23-2026-10-33-06-AM.asp?sid=gumtree
1d
Executive Placements
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In this pivotal executive role, youll guide a team of 3 Client Partners through a transformation from classic research delivery to next-gen strategic advisory, powered by predictive intelligence, real-time dashboards, and ethical AI. Sitting at the intersection of product, data sciences, and Câ??suite client engagement, youll futureâ??proof relationships and drive expansion across telcoms, banking, retail, and philanthropy.Why This Role Matters:As the global $ 150 billion insights industry pivots toward co-created value, ethical AI, and tech-infused storytelling, this role becomes the orchestrator of a new paradigm: Turning complex data into compelling business narratives that influence executive decisions and grow product-led revenue.Key Responsibilities:Lead a HumanAI Evolution:Upskill and coach Client Partners in AI tools, strategic storytelling, and product evangelism.Drive a 120â??day transformation roadmap to elevate the team into trusted advisors.Orchestrate Deep Collaboration with Data Sciences:Fuse predictive models and real-time data with strategic recommendations.Translate technical outputs into compelling ROIâ??driven narratives for clients.Drive Growth with Câ??suite Precision:Build and strengthen executive relationships across major African markets.Integrate benchmarks, dashboards, and insights into client workflows to boost retention and expansion.Align Crossâ??Functionally for Maximum Impact:Co-develop roadmaps with Product and Data Science leaders.Create multi-format content (visuals, podcasts, insights collateral) that positions the firm as a thought leader.Govern Performance for a Future-Ready Team:Own KPIs, including revenue, NPS, and product adoption.Implement agile feedback loops ensuring that human creativity and AI excellence coexist.Required Qualifications/Skills:12+ years in client-facing insights or consulting, including 5+ years leading teams in product-led research, CX, or advisory.Proven success navigating AI transitions within African markets.Exceptional storytelling and CRM orchestration abilities.Strong leadership in small, agile teams and matrix environments.Bachelors or MBA in Business, Marketing, Insights, AI or data storytelling certifications advantageous.Preferred Capabilities:Experience working closely with data science/product teams.Strength in omnichannel content creation (podcasts and visual storytelling).Familiarity with ESOMAR ethics in AI-enabled partnerships.Ability to turn predictive models into proactive, commercial advisory.https://www.executiveplacements.com/Jobs/C/Chief-Insights-Orchestrator-1254157-Job-Search-01-21-2026-00-00-00-AM.asp?sid=gumtree
3d
Executive Placements
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A well-established financial solutions firm based in Cape Town is seeking a motivated professional who enjoys transforming complex data into clear, actionable insights. Youll join a growing consultancy focused on delivering sustainable credit and capital solutions, working alongside experienced industry specialists on high-impact analytical initiatives. This environment values innovation, encourages new ideas, and recognises technical excellence. The role offers meaningful exposure across end-to-end modelling, strategic decision-making, and hands-on analytics, making it ideal for someone seeking autonomy, visibility, and tangible impact.Key Responsibilities: Develop, enhance, and maintain predictive and financial models supporting credit and capital decisionsReview underperforming models and optimise or rebuild them to improve accuracy and efficiencyDesign and deliver advanced dashboards and analytics solutions using QlikView / Qlik SenseAnalyse large datasets and translate insights into practical, business-focused recommendationsCollaborate with stakeholders and clearly communicate analytical findings to support informed decisionsJob Experience and Skills Required:Education:BSc / BCom / Honours in Data Science, Actuarial Science, Statistics, Mathematics, or a related quantitative disciplineExperience:Minimum of 3 years experience in data analytics, data science, actuarial, or quantitative modelling rolesSkills:Advanced QlikView / Qlik Sense expertise (essential)Strong experience building and enhancing predictive and financial modelsProficiency in SQL and Python or RAbility to work independently, solve complex problems, and clearly articulate insightsNon-negotiables:Based in Cape Town with own reliable transportFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1252981-Job-Search-01-18-2026-22-13-59-PM.asp?sid=gumtree
5d
Job Placements
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Data Analyst | Sandton | PermanentMake data matter in a fast-moving insurance environment. This is an opportunity to work at the centre of decision-making, turning complex datasets into clear, actionable insight.This role sits across multiple business units and plays a key part in improving data quality, reporting efficiency, and commercial understanding. You will work with diverse insurance data sets, build automated reporting solutions, and support teams with insights that directly influence performance and risk management.Our client is a growing South African short-term insurer operating across specialist and traditional insurance lines. Known for technical depth and a strong risk framework, the business values agility, service excellence, and a high-performance culture.What You’ll DoAnalyse and interpret data relating to premiums, claims, policies, finance, and operationsDevelop and maintain dashboards and recurring reports for key insurance metricsExtract, clean, and integrate data from multiple internal and external sourcesInvestigate anomalies and ensure accuracy and consistency of reportingBuild automated data pipelines to improve efficiency and reliabilityProvide insights to underwriting, actuarial, claims, finance, and operations teamsWhat You BringDegree in Data Science, Statistics, Mathematics, Actuarial Science, Computer Science, or similar1–2 years’ experience in a data-focused role, ideally within insurance or financial servicesStrong SQL skills, with Python or R as an advantageExperience using BI tools such as Power BI, Tableau, Qlik, or LookerAdvanced Excel capability, including dashboards and
https://www.executiveplacements.com/Jobs/D/Data-Analyst-1251243-Job-Search-01-14-2026-02-00-48-AM.asp?sid=gumtree
10d
Executive Placements
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