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Results for data science in "data science" in Jobs in Gauteng in Gauteng
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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
8h
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
8h
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
8h
Job Placements
1
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
8h
Job Placements
1
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
8h
Job Placements
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The OpportunityWe have an exciting opportunity for a top-performing Data Analyst to join our team. In this role, you will leverage data to drive strategic business decisions and gain practical experience with cutting-edge data practices. This is a chance to grow your skills while contributing to projects that matter.What Youll Do (Key Responsibilities)Analysis & Reporting:Analyze large, complex datasets to identify trends, patterns, and actionable insights that inform business strategy.Develop, maintain, and enhance interactive dashboards, reports, and data visualizations to communicate findings to stakeholders effectively.Manage and optimize data pipelines to ensure the integrity and availability of data for analysis.Work closely with developer teams to support data integration and automation processes.Utilize Azure cloud services for efficient data storage, processing, and analysis.Employ statistical tools and programming languages like R and Python to conduct complex analyses.Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.Assist in the development and implementation of predictive models and algorithms.Present analytical findings and strategic recommendations clearly and concisely to non-technical audiences.Ensure all data practices comply with company policies and industry standards for security and integrity.A completed Bachelors degree or current enrollment in a postgraduate program in Data Science, Computer Science, Statistics, Mathematics, or a related field.Strong programming proficiency in Python and R.A solid understanding of basic data analysis techniques and statistical methodologies.Excellent communication skills, with the ability to explain complex data to various stakeholders in an understandable way.Previous internship or project experience in data analysis or a related technical field.Familiarity with cloud services, specifically Azure.Experience with data visualization tools (e.g., Power BI, Tableau).A foundational understanding of machine learning concepts and algorithms.Technical Collaboration:Manage and optimize data pipelines to ensure the integrity and availability of data for analysis.Work closely with developer teams to support data integration and automation processes.Utilize Azure cloud services for efficient data storage, processing, and analysis.Employ statistical tools and programming languages like R and Python to conduct complex analyses.Strategy & Communication:Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.https://www.jobplacements.com/Jobs/D/Data-Analyst-1276850-Job-Search-3-31-2026-9-39-26-AM.asp?sid=gumtree
3d
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
12d
Job Placements
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JOB SPECIFICATION:The principal objective of this role is to support the Africa Team and wider business stakeholders to analyse data and provide timely reporting to the business and the client in relation to operational efficiency and drawing out key strategic insights to enabledecision-making. Utilising Power BI capability to convert data into user friendly dashboards and information.QUALIFICATIONS:Educated to degree level or equivalent.Desirable: BA or MS in Computer Science or Information SystemsDesirable: Business Analyst diploma, BABOK Certification, Agile Certification:Business Analyst experience(Advantageous)EXPERIENCE:Minimum of 1 to 2 years of experience in a related field i.e. data visualization and analytics, working with businesses to shape and implement their BI strategies, improve operational functions, efficiencies and ultimate performanceIntegration and consolidation of data from multiple data sources.Data warehousing and data modelling.Internal and external stakeholder management enabling delivery of business objectives
https://www.jobplacements.com/Jobs/J/Junior-Data-Analyst-Remote-1271881-Job-Search-3-30-2026-4-48-12-AM.asp?sid=gumtree
5d
Job Placements
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Requirements: Honours degree in CS, IS, Data Science, or equivalent12 years relevant experiencePython - can write scripts, work with APIs, debug existing codeSQL - comfortable with JOINs, aggregations, and investigating data mismatchesComfortable in a Linux terminal (SSH, bash, running scripts)Strong attention to detail your core job is finding where numbers dont match and whyExperience with any ERP system (Acumatica, SAP, Sage, or similar)PostgreSQL, Docker, or Streamlit experienceExposure to AI/LLM tools (Claude, ChatGPT, etc.)Hospitality or retail background will be an advantage On offer: Direct mentorship from the CEOHands-on experience with NVIDIA AI hardware and production AI systemsOpportunity to shape a product from the ground upFast-paced environment where your work has immediate, visible impact
https://www.jobplacements.com/Jobs/J/Junior-Data-Engineer--AI-1276545-Job-Search-03-30-2026-00-00-00-AM.asp?sid=gumtree
3d
Job Placements
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