Job Title: Data Scientist Lead Role Company: Badger Holdings (Pty) Ltd Job Category: Machine Learning Roles & Responsibilities: Job Description Data Scientist Lead ARC (a division of Badger SA) \| George, Western Cape \| Permanent \| On\-site Lead AI that delivers real business impact. At ARC, we're building the next generation of data, analytics and AI capabilities for Badger Holdings, including dotsure.co.za and Pacific International Insurance. Our mission is simple: use intelligent technology to create smarter decisions, better customer experiences and stronger businesses What You'll Do As our Data Scientist Lead, you'll lead a team of three Data Scientists and one Machine Learning Engineer while driving strategic AI initiatives across the business. You'll * Lead the end\-to\-end delivery of machine learning and AI projects from business discovery through deployment and monitoring. * Build, validate and deploy predictive models across customer lifetime value (CLV), fraud detection, lapse prediction, pricing optimisation, claims prediction and customer segmentation. * Work closely with stakeholders across underwriting, claims, finance and operations to identify high\-value opportunities. * Translate commercial challenges into scalable data science solutions. * Ensure models are production\-ready, explainable, governed and deliver measurable business value. * Present insights and recommendations to senior leadership and executive stakeholders. * Mentor, coach and develop the Data Science team while establishing technical best practices. * Collaborate with data engineering, analytics engineering and ML engineering to deliver robust AI solutions. * Contribute to ARC's evolving AI ecosystem across Azure, GCP and modern cloud data platforms. What we're looking for: You'll thrive in this role if you combine technical excellence with strong leadership and commercial thinking. The kind of leader we're looking for: * You're someone who enjoys building as much as leading. * You lead by example, enjoy solving complex business problems, and are motivated by seeing your models deployed into production where they create measurable value. * You communicate confidently with both technical teams and business stakeholders, develop those around you, and continuously look for better ways to apply AI to real\-world challenges. You'll Have The Opportunity To * Lead meaningful AI initiatives with visible commercial impact. * Stay hands\-on with data science while growing your leadership career. * Work with modern cloud technologies including Python, Azure, Snowflake, dbt and GCP. * Influence AI strategy across multiple businesses. * Build and mentor a high\-performing Data Science team. * See your work move beyond experimentation into production. Location: This permanent role is based in George, Western Cape and is an on\-site position. Relocation support may be considered for the right candidate. If you're passionate about applying AI to solve real business problems, enjoy leading high\-performing teams and want to build technology that makes a measurable difference, we'd love to hear from you. Work Location: Cape Town, Western Cape, South Africa Availability: Full time

Job Title: Data Scientist Company: GVW Group Job Category: Machine Learning Roles & Responsibilities: Job Description We are seeking a Data Scientist who combines strong analytical and modeling skills with hands\-on AI solution development. In this role, you will build predictive models, evaluate complex datasets and design AI agents and automations that address real business problems. You will partner closely with business stakeholders to translate business challenges into actionable AI/ML use cases, quickly prototype solutions, and support their deployment into production environments. This role is ideal for someone who thrives at the intersection of data science, generative AI, and practical solution\-building. Responsibilities * Use statistical, data mining, algorithmic and visualization techniques to model complex problems, find opportunities, discover solutions, and deliver actionable business insights. * Build and operationalize Machine Learning models (e.g. classification, forecasting, anomaly detection) using tools like Python, Fabric ML, or Azure ML. * Design end\-to\-end AI workflows, from data inputs and prompts to integration points with existing systems * Build and deploy rapid AI Solutions using tools such as Azure OpenAI, Microsoft Copilot, ChatGPT, or similar frameworks. * Design and test conversational agents and copilots that integrate into business workflows. * Develop and deploy RAG (retrieval\-augmented generation) and prompt\-engineered copilots embedded into business workflows. * Collaborate with cross\-functional teams to define project objectives, scope, and deliverables. * Present findings and provide training to stakeholders and create technical documentation of solutions to ensure code quality and reproducibility. Why Join Us * Opportunity to lead and shape the future of our data science department. * Collaborative and inclusive work environment that fosters growth and development. * Competitive compensation package with flexible work arrangements. * Chance to make a meaningful impact by leveraging data\-driven insights to drive business success. Work Location: Durbanville, Western Cape, South Africa Availability: Full time

Job Title: Artificial Intelligence Engineer Company: Acuity Consultants Job Category: Machine Learning Roles & Responsibilities: This is an exceptional opportunity for a SENIOR SOFTWARE ENGINEER to become a SENIOR AI ENGINEER for a leading iGaming company, building and productionising AI\-driven products at scale. This role is based in either CAPE TOWN or DURBAN, paying R1\.6 \- R1\.8M PA. This global technology business develops the platforms behind some of the world's leading online gaming brands, supporting millions of users across multiple international markets. You'll join an established AI team with live products already in production, working on systems that support areas such as player retention, personalisation and game recommendations. THE ROLE: As a Senior AI Engineer, you'll use your software engineering background to build, deploy and maintain AI\-driven systems in a large\-scale production environment. You'll be involved across the full lifecycle, from solution design and development through to deployment, monitoring and continuous improvement, while working closely with both technical and business stakeholders. Work Location: City of Cape Town, Western Cape, South Africa Availability: Full time

Job Title: Data Science Lead (AI/ Software Development) Company: Morton Moore Financial Services Job Category: Machine Learning Roles & Responsibilities: This is a hands\-on leadership role in a young, ambitious data organisation where the successful candidate will remain personally close to the modelling work while mentoring a growing team. The role is permanent and based on site in George. Key Responsibilities • Lead the design, development and production deployment of machine learning models that deliver measurable commercial value. • Own the full model lifecycle end to end, from initial business requirement and discovery through to production monitoring and retraining. • Run business discovery sessions with stakeholders to scope opportunities, define success measures and prioritise the AI delivery roadmap. • Build and maintain supervised, unsupervised and time\-series models across use cases such as customer lifetime value, propensity, churn and fraud detection. • Partner with Data Engineering and Analytics Engineering teams to ensure robust, well\-governed data pipelines supporting model development. • Set and enforce technical standards for model quality, validation, documentation and peer review. • Implement MLOps practices and production deployment pipelines on a modern cloud\-native stack. • Ensure model governance, explainability and compliance with regulatory expectations, including POPIA, FAIS and Treating Customers Fairly principles. • Present model outputs, insights and recommendations to executive and non\-technical business audiences in clear commercial language. • Mentor and develop data scientists through pairing, code review and structured coaching while remaining personally hands\-on. • Shape the broader AI strategy in partnership with senior leadership and contribute to capability planning as the team scales. • Evaluate and introduce relevant innovations, including large language models, generative AI and agent frameworks, where they create practical business value. • Monitor deployed models in production and report on performance, drift and realised business impact. Work Location: George, Western Cape, South Africa Availability: Full time

Job Title: Senior Data Scientist Company: Lula Job Category: Machine Learning Roles & Responsibilities: ROLE PURPOSE KEY RESPONSIBILITIES * Partner with stakeholders to translate business questions into analytical problems, and communicate findings and recommendations clearly to technical and non\-technical audiences. * Own the productionisation of machine learning models, including reproducible pipelines, versioned code, automated testing and deployment, working with data engineers and analytics engineers. * Monitor models in production for performance, drift and data quality, and drive retraining, remediation and improvement when they degrade. * Build, validate and maintain predictive models (e.g. classification, regression, forecasting, segmentation). * Explore, clean and analyse large datasets to uncover trends, drivers and opportunities. * Design and analyse experiments (A/B tests, pilots) and measure the impact of business initiatives. * Build dashboards, reports and reusable analysis assets that make insights self\-serve. * Help raise the standard for how data science is done at Lula * Contribute to data quality, documentation and good practice across the data team. Work Location: Cape Town, WC, South Africa Availability: Full time

Job Title: AI Learning Experience Designer (Freelancer) Company: Uptut Job Category: Machine Learning Roles & Responsibilities: instructional designers, and product managers to create engaging, outcome\-driven learning ● This role will be 100% remote Key Responsibilities: ● Work with leading LED or as project manager to define key skills, competencies, learning ● Support sales teams or product teams in identifying client and learner needs and goals Design \& Development ● Follow our client's design and development standards, best practices, and processes ● Design structured learning pathways for AI skills development, from foundational support material production. ● Develop instructor enablement materials to support live classroom training delivery ● Work with product management and learning teams to standardize patterns and ● Work with product management and learning teams to build out the library of ● Background in a client\-facing role, either supporting or managing, is highly desirable ● Demonstrated experience leading and managing a team, delegating responsibilities, ● Familiarity with Google Suite, and LMS content management and authoring tools. Work Location: Remote Work Location: Home Based, South Africa Availability: Full time

Job Title: Senior Data Scientist (ML Engineering) OVA5886 Company: Ovations Talent Sourcing Job Category: Machine Learning Roles & Responsibilities: Build, deploy, scale and support machine learning, AI and GenAI solutions in production. The role focuses on operationalising models, developing AI applications and agents, and creating the platforms and services required to deliver business value at scale. Key Responsibilities * Productionise, deploy and monitor machine learning models and data science pipelines on Databricks. * Build, deploy and support AI Agents, GenAI applications and RAG solutions on Databricks. * Develop and maintain reusable ML pipelines using MLOps principles, including CI/CD, automated testing, monitoring and governance. * Deploy, optimise and manage open source AI and machine learning models on Azure Kubernetes Service (AKS). * Design, develop and support custom APIs and microservices on AKS to expose AI and machine learning capabilities to business applications. * Implement containerised solutions using Docker and Kubernetes to ensure scalable, secure and resilient deployments. * Monitor model performance, drift, reliability and operational health in production environments. * Partner with Data Scientists to productionise prototypes and enable business\-ready solutions. * Collaborate with platform, security, cloud and infrastructure teams to ensure compliance with enterprise standards. * Troubleshoot and resolve production issues related to models, pipelines, APIs and AI applications. * Optimise AI and ML solutions for performance, scalability, cost and reliability. * Contribute to engineering standards, reusable frameworks and best practices across the AI and ML ecosystem. * Mentor junior engineers and promote knowledge sharing across the team. * Stay current with advancements in AI, GenAI, MLOps, Databricks, Kubernetes and cloud technologies. Core Deliverables * Production\-ready ML models and pipelines running on Databricks. * AI Agents and business applications deployed on Databricks. * Open source LLMs and AI services deployed on AKS. * Secure and scalable APIs exposing AI capabilities to consuming systems. * Automated deployment, monitoring and governance processes. * Reliable, scalable and compliant AI platforms supporting business outcomes. * Databricks Workflows, Model Serving, MLflow and Mosaic AI * Azure Kubernetes Service (AKS) * Python, SQL and REST APIs * Docker and Kubernetes * CI/CD and MLOps practices * Machine Learning and Generative AI * LLM deployment and optimisation * Cloud engineering and infrastructure automation * Monitoring, observability and troubleshooting * Strong understanding of MLOps, DevOps and software engineering practices for machine learning platforms. * Experience building, deploying and supporting machine learning solutions in production environments. * Proficiency in Python and experience with SQL and API development. * Experience with Databricks, MLflow, Model Serving and cloud\-native AI/ML platforms. * Hands\-on experience with Kubernetes, Docker and containerised application deployment. * Experience deploying and supporting machine learning and Generative AI solutions on Azure Kubernetes Service (AKS). * Knowledge of CI/CD pipelines, infrastructure automation and platform monitoring. * Experience with distributed computing technologies such as Spark and large\-scale data processing frameworks. * Understanding of machine learning, large language models (LLMs), retrieval\-augmented generation (RAG) and AI agents. * Ability to productionise data science solutions and collaborate effectively with Data Scientists. * Experience delivering end\-to\-end AI and machine learning use cases from development to production. * Ability to translate technical concepts into business outcomes and communicate effectively with stakeholders. * Strong written and verbal communication skills with the ability to work across cross\-functional teams. * Self\-driven, adaptable and capable of thriving in a fast\-paced, technology\-driven environment. Work Location: Johannesburg, Gauteng, South Africa Availability: Full time

Job Title: Business Intelligence Developer Company: PEP Africa Job Category: Machine Learning Roles & Responsibilities: POSITION: BI (BUSINESS INTELLIGENCE) DEVELOPER DEPARTMENT: ENTERPRISE SOLUTIONS We're looking for a BI Developer who is passionate about data, AI and finding smarter ways of working. If you love solving complex challenges, exploring new technologies and turning data into solutions that make a real business impact, we want you on our team! PURPOSE OF THE POSITION: To design, develop and maintain business intelligence and AI\-driven solutions, including data analytics platforms, AI agents, automation bots, and reporting tools using Google Cloud stack (Big Query, Vertex AI, Looker, Antigravity); to translate business needs into technical specifications as well as create visualisations and reports. KEY RESPONSIBILITIES 1\. BI Development \& AI Engineering 1\.1\. Designing, developing and maintaining business intelligence * Maintain \& support data analytics platforms * Translate business needs to technical specifications * Evaluate and improve existing BI systems * Create visualisations, reports and dashboards for requested projects * Develop and update technical documentation * Data exploration and data quality assurance * Develop and implement databases, data collection systems, data analytics and other strategies that optimise statistical efficiency and quality * Development, construction, and maintenance of data architectures * Conducting testing on large scale data platforms * Handling error logs and building robust data pipelines * Provide recommendations for data improvement, quality, and efficiency of data * Gather information on resources, constraints, assumptions, risks to identify priorities * Develop AI agents and natural language query interfaces using BigQuery and Vertex AI * Build operational micro\-apps and automated workflows using Antigravity, AI studio, AppScript, and GCP tools * Implement data\-driven predictive models and machine learning pipelines in support of the Data Scientist * Integrate AI capabilities into business processes to improve efficiency and decision\-making 2\. Project Management * Manage and deliver projects on\-time and within budget, by monitoring project risks and issues and stakeholder engagement * Drive best practices, continuous improvement and innovation within the ES function * Maintain subject matter expertise in all applications for systems and provide support cross\-functionally * Partner with various stakeholders to identify synergies * Implement agile development principles throughout the product life cycle 4\. Ad hoc duties Competencies required: Honesty; Passion; Resourcefulness; Solution orientation; Analytical thinking; Detail orientation; Problem\-solving; Data\-driven mindset; Planning, Organising and Control; Good communication skills; Technical aptitude; Ability to interpret and analyse data; Ability to prioritise and manage multiple tasks; Building and maintaining relationships; Problem Assessment; Ability to work in a team and independently. Work Location: In person Work Location: Cape Town, WC, South Africa Availability: Full time

Job Title: Junior Software Developer Company: EY Job Category: Machine Learning Roles & Responsibilities: Requisition ID: 1748011 Job Title: Junior Software Developer The Africa Assurance Innovation and Digital team is looking to hire a talented software developer to assist in building You will be responsible for the design, development, testing, implementation and support of these innovative solutions. These solutions are designed to monitor and facilitate process operations, enhance productivity, maximise software and providing support post\-implementation. Other responsibilities include: Designing, coding, and implementing scalable software solutions. Maintaining and upgrading existing systems. Test, maintain and recommend software improvements to ensure strong functionality and optimisation. Create technical and process documentation for reference and reporting. Work with Business Analysts, Product Owners and other developers to define and deliver business impacting Support the launch and implementation of solutions as well as providing post\-implementation support in  Excellent planning, organisational, project and time management skills. Management.  Minimum 1\-0-2 years of experience in a software development role.  Comfortable communicating with other developers, Business Analysts and Project Managers.  Basic knowledge and understanding of software development life cycle processes, agile development  Ability to develop unit testing of code components or complete applications. At EY we support you in achieving your unique potential both personally and professionally. We give you stretching and world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what Work Location: Johannesburg, GP, South Africa Availability: Full time

Job Title: Head of Data Analytics Company: GoTyme ZA (South Africa) Job Category: Machine Learning Roles & Responsibilities: Role Purpose ---------------- The Head of Data Analytics leads GoTyme Bank's business\-facing data science capability across Marketing, Fraud, AML, Customer Experience, Distribution and Partnerships. You will turn company and functional priorities into a clear analytics roadmap, lead and develop a team of data scientists and senior data scientists, and ensure that the team's work changes decisions and improves measurable business outcomes. This is a senior people and delivery leadership role with strong technical credibility. You will move the function from reactive request fulfilment towards proactive insight, experimentation and responsible use of advanced analytics and AI. You will work closely with Reporting and Insights, Data Governance, Data Engineering, Finance, Risk, Product and Lending Analytics so that decision makers receive trusted, timely and well\-governed analysis. Key Responsibilities ------------------------ * Analytics Strategy and Business Impact * + Set and own the data analytics strategy and roadmap for the functions in scope, aligned to GoTyme Bank's company priorities and measurable business outcomes. + Direct proactive analysis across customer acquisition, activation, engagement, segmentation, revenue, fraud prevention, AML effectiveness, customer experience, distribution performance and partner value. + Frame the right business questions, identify opportunities before they become requests, and ensure insights are translated into decisions, actions and measurable impact. + Establish clear success measures for major analytics initiatives and track whether recommendations are adopted and deliver the intended result. * People Leadership and Capability * + Act as the primary line manager for data scientists and senior data scientists within the function, owning performance, development and day\-to\-day effectiveness. + Recruit, onboard, coach and retain strong analytical talent; set clear expectations and provide regular, honest and developmental feedback. + Build succession and capability plans, create opportunities for team members to take on greater responsibility, and address performance or capability gaps early. + Create a team environment where people collaborate across domains, share knowledge, raise risks openly and maintain high standards without losing pace. * Prioritisation Planning and Delivery * + Run a transparent intake and prioritisation process so that analytical capacity is directed to the highest\-value work across the functions in scope. + Maintain a visible roadmap, stakeholder service levels and a regular operating cadence covering delivery, impact, capacity, risks and dependencies. + Own the quality and timeliness of the team's output; resolve blockers, coordinate cross\-team dependencies and escalate trade\-offs early when capacity or priorities conflict. + Clarify ownership and hand\-offs with Reporting and Insights, Data Governance, Data Engineering and Lending Analytics to avoid duplicated work or gaps in delivery. * Stakeholder Leadership * + Act as the senior analytics partner for Marketing, Fraud, AML, Customer Experience, Distribution and Partnerships, building trusted relationships with functional leaders and their teams. + Communicate analytical strategy, evidence, trade\-offs and recommendations clearly to executive, commercial, risk and technical audiences. + Represent Data Analytics in relevant governance, planning and performance forums, ensuring that evidence is used in material decisions. + Challenge assumptions constructively, establish common definitions and help stakeholders distinguish useful analysis from activity that will not change a decision. * Analytical Standards Experimentation and Innovation * + Set consistent standards for analytical design, SQL and Python development, peer review, documentation, reproducibility, quality assurance and communication of results. + Build disciplined test\-and\-learn practices for campaigns, customer journeys, fraud controls, segmentation, channel interventions and partner initiatives. + Apply advanced analytics, machine learning and generative AI where they can improve decisions, turnaround time or efficiency, with clear measures of value and appropriate human oversight. + Partner with platform, engineering and reporting teams to create reusable data products, scalable analytical assets and well\-governed self\-service capabilities. * Governance Risk and Compliance * + Ensure that the function complies with data governance, privacy, information security, model governance and regulatory requirements, including appropriate access controls and audit trails. + Maintain documented review and monitoring processes for analytical outputs used in customer, risk, executive or regulatory decisions. + Identify and escalate material data quality, bias, control or interpretation risks, and ensure agreed remediation is completed. + Support audit and regulatory requests relevant to the function and ensure that all team members complete required compliance training. * 2 years of experience in data science, business analytics or a related quantitative field, including substantial people leadership responsibility. * Demonstrated success leading senior analytical talent and delivering high\-quality work through teams rather than relying on personal contribution alone. * Track record of using analytics to improve commercial, customer, operational or risk outcomes in a complex organisation. * Experience managing a portfolio of competing work and influencing senior stakeholders when priorities, capacity or evidence are contested. * Strong technical grounding in statistics, experimentation, predictive modelling and data science, with current proficiency in SQL and Python sufficient to review and guide the team's work. * Commercial judgement and the ability to connect analytical work to customer, revenue, cost, risk, control and service outcomes. * Strong people leadership across performance management, coaching, feedback, hiring and career development. * Clear, structured communication across technical and non\-technical audiences, including executive\-level recommendations and difficult stakeholder conversations. * Strong prioritisation, portfolio planning and delivery management, with the ability to make transparent decisions under ambiguity and capacity constraints. * Sound understanding of data quality, privacy, analytical governance and the controls required in a regulated environment. * Experience in retail banking, fintech or another regulated consumer business. * Domain experience in more than one of marketing analytics, customer analytics, fraud, financial crime, distribution analytics or partner data. * Experience with modern cloud analytics platforms such as Databricks and with team\-based development practices including Git and code review. * Experience with analytical governance, model risk, regulatory reporting, audit remediation or privacy requirements such as POPIA. * Experience leading teams through organisational change, rapid growth or a shift from reactive requests to proactive analytics. * People\-first leader who invests in the growth, performance and wellbeing of the team. * Proactive and commercially curious; looks for important questions and opportunities rather than waiting for a request. * Pragmatic and evidence\-led; balances analytical rigour with pace, capacity and business need. * Direct and fair; gives clear feedback, handles difficult conversations and makes trade\-offs visible. * Calm and dependable under pressure, providing structure and direction when priorities are ambiguous or changing. * Collaborative across functions and willing to challenge constructively when the evidence requires it. * EAP support (counselling, financial and legal for you and anyone financially dependent on you). * Competitive, industry\-benchmarked salaries. * Non\-guaranteed performance bonuses. * Access to company shares (T's \& C's apply). * Wellness days. * Social clubs. * On\-site barista. Work Location: Johannesburg, GP, South Africa Availability: Full time