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Results for data science in "data science" in Jobs in South Africa in South Africa
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This opportunity is ideal for someone with 4+ years of hands-on data science experience who enjoys working deeply on machine learning, statistical modelling, and scalable data solutions. The role is highly technical and suited to someone who thrives in environments where complex data challenges meet real-world business impact.You will work across the full data science lifecycle from data exploration and feature engineering to model development, deployment, and optimisation while leveraging modern technologies such as AWS, SAS Viya, Python, and SQL.Key Responsibilities: Manage end-to-end data science workflows, including data extraction, cleaning, feature engineering, modelling, and deploymentDevelop and implement advanced machine learning and statistical models to solve complex business problemsDesign and build AI-driven solutions that improve business performance and decision-makingTranslate complex or unstructured business challenges into scalable analytical frameworksWork within cloud environments (AWS) and modern analytics platforms, such as SAS ViyaBuild data visualisations and dashboards to communicate insights effectivelyCollaborate with business stakeholders to ensure that solutions address key strategic objectivesPresent technical findings and recommendations clearly to both technical and non-technical audiencesJob Experience and Skills Required:Education:Degree in a quantitative discipline such as Data Science, Statistics, Applied Mathematics, Computer Science, or similarStrong foundation in statistical modelling and machine learning theoryExperience:4+ years of practical, hands-on data science experienceStrong experience building machine learning models in production environmentsAdvanced experience with Python, SAS, and SQLExperience working with large datasets and complex data pipelinesExposure to cloud platforms, preferably AWSExperience using data visualisation tools to present insightsSkills:Strong technical and analytical problem-solving abilityAbility to design, build, and deploy complex data science solutions independentlyExcellent data storytelling and communication skillsNaturally curious with a passion for experimentation and innovationComfortable working with both technical teams and business stakeholdersThrives in fast-paced, data-driven environmentsFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1271127-Job-Search-03-12-2026-00-00-00-AM.asp?sid=gumtree
1d
Job Placements
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The role focuses on unlocking business value through advanced analytics and the intelligent use of data. You will develop machine learning models, analytical frameworks, and automated reporting tools to support decisionâ??making across portfolios, products, and clients.Working closely with internal stakeholders, youll translate complex datasets into clear, actionable insights and contribute to the development of modern analytics platforms in a fastâ??paced, collaborative environment.Key Responsibilities:Develop predictive, statistical, and machine learning models to support forecasting, segmentation, and risk analysis.Analyse large and complex datasets to identify trends, patterns, and opportunities.Translate analytical outputs into practical business insights for both technical and nonâ??technical stakeholders.Support portfolio and client analytics by evaluating performance and identifying improvement opportunities.Build automated reporting and analytics solutions to improve efficiency and scalability.Identify opportunities to automate manual analytical or reporting processes.Extract, transform, and analyse data using advanced SQL and Python.Contribute to dashboards, internal analytics tools, and cloudâ??based data platforms.Requirements:Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, or a related quantitative field. (Postgraduate qualification is advantageous.)36 years experience in data science, analytics, or data engineering, preferably within financial services or a commercial environment.Strong experience working with large datasets using SQL and Python.Proficiency in Power BI for dashboard development and reporting.Experience applying machine learning techniques is advantageous.Exposure to modern data platforms such as Databricks, Synapse, or similar cloud environments is beneficial.Strong communication skills with the ability to present insights clearly and confidently.Why Consider This Role?:This is an opportunity to work in a dataâ??driven environment where analytics plays a key role in shaping strategy, improving performance, and delivering meaningful insights to stakeholders and clients.Apply now! For more exciting Actuarial & Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1276712-Job-Search-03-31-2026-04-14-57-AM.asp?sid=gumtree
1d
Job Placements
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The role focuses on unlocking business value through advanced analytics and intelligent use of data. You will develop machine learning models, analytical frameworks, and automated reporting tools to support decisionâ??making across portfolios, products, and clients.Working closely with internal stakeholders, youll translate complex datasets into clear, actionable insights and contribute to the development of modern analytics platforms in a fastâ??paced, collaborative environment.Key Responsibilities:Develop predictive, statistical, and machine learning models to support forecasting, segmentation, and risk analysis.Analyse large and complex datasets to identify trends, patterns, and opportunities.Translate analytical outputs into practical business insights for both technical and nonâ??technical stakeholders.Support portfolio and client analytics by evaluating performance and identifying improvement opportunities.Build automated reporting and analytics solutions to improve efficiency and scalability.Identify opportunities to automate manual analytical or reporting processes.Extract, transform, and analyse data using advanced SQL and Python.Contribute to dashboards, internal analytics tools, and cloudâ??based data platforms.Requirements:Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, or a related quantitative field.(Postgraduate qualification is advantageous.)36 years experience in data science, analytics, or data engineering, preferably within financial services or a commercial environment.Strong experience working with large datasets using SQL and Python.Proficiency in Power BI for dashboard development and reporting.Experience applying machine learning techniques is advantageous.Exposure to modern data platforms such as Databricks, Synapse, or similar cloud environments is beneficial.Strong communication skills with the ability to present insights clearly and confidently.Why Consider This Role:This is an opportunity to work in a dataâ??driven environment where analytics plays a key role in shaping strategy, improving performance, and delivering meaningful insights to stakeholders and clients.Apply now! For more exciting Actuarial & Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1276572-Job-Search-03-30-2026-10-18-32-AM.asp?sid=gumtree
1d
Job Placements
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You will play a key role in developing advanced analytics capabilities across a diverse portfolio of products and clients. The position focuses on leveraging data to drive strategic decision-making, enhance performance, and unlock new opportunities through predictive modelling and intelligent automation. Working closely with both internal stakeholders and external partners, you will translate complex datasets into actionable insights while contributing to the evolution of a modern data ecosystem.Key Responsibilities: Build and deploy predictive models and machine learning solutionsAnalyse large datasets to generate actionable business insightsSupport client and portfolio analytics, including performance tracking and benchmarkingDevelop automated reporting tools and scalable analytics solutionsWork with SQL and Python to extract, transform, and analyse dataCollaborate with stakeholders to identify and deliver on analytics opportunitiesJob Experience and Skills Required:Education:Degree in a quantitative field (e.g. Data Science, Mathematics, Statistics, Computer Science, Actuarial Science, or similar)Experience:36 years experience in data science, analytics, or data engineering within a commercial environmentStrong experience working with large datasets and delivering data-driven insightsProven ability to communicate complex findings to a range of stakeholdersSkills:Advanced SQL (essential)Strong Python skills for data analysis, automation, and modellingExperience with business intelligence tools (e.g. Power BI or similar)Exposure to cloud-based analytics platforms (e.g. Databricks, Synapse, or equivalent) advantageousFamiliarity with version control tools (e.g. Git) beneficialFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1275711-Job-Search-03-26-2026-10-15-37-AM.asp?sid=gumtree
1d
Job Placements
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This role focuses on unlocking business value through data by building predictive models, designing analytical frameworks, and delivering automated reporting solutions that enable informed decision-making across the business. The environment is fast-paced, collaborative, and focused on solving complex problems through innovative analytics. You will work closely with internal stakeholders and clients to identify opportunities, solve complex business challenges, and translate large datasets into clear, actionable insights.Key Responsibilities: Develop predictive and machine learning models to support forecasting, segmentation, and risk analysisAnalyse large datasets to generate actionable insights and support decision-makingPartner with stakeholders to identify analytics opportunities and solve business problemsSupport client and portfolio analytics, including performance tracking and benchmarkingBuild automated dashboards, reporting solutions, and reusable data toolsExtract, transform, and analyse data using SQL and Python within modern data platformsPresent insights to both technical and non-technical stakeholdersJob Experience and Skills Required:Education:Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, or a related quantitative fieldExperience:36 years experience in data science, data analytics, or data engineering within a commercial or financial services environmentStrong experience working with large datasets using SQL and PythonExperience with Power BI for reporting and dashboardsProven ability to deliver insights to both technical and non-technical stakeholdersExperience with machine learning techniques advantageousSkills:Advanced SQL (essential)Strong Python programming for data analysis and automationPower BI (including DAX)Experience with cloud or modern data platforms (e.g. Databricks, Synapse or similar)Familiarity with Git or version control tools beneficialFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1276573-Job-Search-03-30-2026-10-18-32-AM.asp?sid=gumtree
1d
Job Placements
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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
2mo
Au Pair SA
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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
9mo
Job Placements
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Key Responsibilities: What youll doExplore and prepare structured & unstructured financial dataSupport machine learning model development and anomaly detectionBuild reports and dashboards (Power BI) to share insightsCollaborate with analysts, engineers, and business teams to deliver actionable solutionsContribute to automation tools that streamline operationsKey Requirements & Skills: What were looking for:Bachelors degree in Data Science, Statistics, Finance, Economics, Computer Science, or related field02 years of experience in data analysis or data science (finance industry exposure a plus)Proficiency in Python (pandas, matplotlib, scikit-learn)Familiarity with SQL, Power BI, and ExcelStrong analytical mindset with excellent communication skillsWhats in it for youReal-World Impact: Your work helps protect assets and optimize investments.Mentorship: Work alongside seasoned pros who want to see you grow.Career Growth: Professional development and keeping your skills sharp.The Perks: Competitive salary, retirement plan, and a dynamic office culture.If youre obsessed with Python, love a clean dataset, and want to see your code make a real-world impact, this is your launchpad.Apply now!
https://www.jobplacements.com/Jobs/J/Junior-Data-Scientist-1274145-Job-Search-03-22-2026-04-14-39-AM.asp?sid=gumtree
13d
Job Placements
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AGRONOMIST / TECHNICAL SALES MANAGERHIRING: Agronomist / Technical Sales Manager (seed science and sales) Are you a field-ready agricultural professional with a passion for seed science and sales? A well-established leader in the South African sunflower seed industry is looking for dynamic individuals to join their team! POSITION DETAILSSalary: R35,000 R40,000 CTC per monthBenefits: Provident Fund + Company Vehicle (not included in CTC)Locations: George | Howick | Pretoria(3 positions available please specify your region!)Hours: Mon Fri, 08:00 17:00 (Overtime/weekends required during peak seasons)Type: PermanentStart Date: ASAPLevel: Junior to Mid-level (25 years experience) WHAT YOU WILL DOAs the technical and commercial face of the business, you will:Drive Sales: Develop and execute regional marketing plans to smash sales budgets!Build Relationships: Advise farmers and agents, providing top-tier technical supportField Work: Plan, execute, and evaluate field trials for new seed varietiesPresent: Lead farmer days, study groups, and field demonstrationsStock Management: Oversee consignment stock and assist with regional stock takesTravel: Maintain a high-profile presence across a wide territory REQUIREMENTSEducation & Experience:Tertiary Qualification: BSc Agriculture, BSc Agric Management, BCom AgriScience, or equivalentExperience: 25 years in agronomical/technical sales (field crops/sunflower preferred)Sales Track Record: Proven ability to build relationships and hit targets Non-Negotiables:Drivers Licence: Valid Code B licence (Essential!)Bilingual: Full proficiency in Afrikaans and English (Speak, Read, Write)Skills: Good computer literacy and administrative abilityAttributes: Self-motivated, punctual, and comfortable working independently Advantageous:BASOS registrationSANSOR or CropLife SA certificationsExperience in plant breeding or agricultural exportValid SA Passport
https://www.jobplacements.com/Jobs/A/Agronomist-Seed-science--Sales-1276881-Job-Search-3-31-2026-11-51-39-AM.asp?sid=gumtree
3d
Job Placements
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