Job Title: Senior AI Engineer Company: Tenth Revolution Group Job Category: Machine Learning Roles & Responsibilities: Lead AI Architect / Lead AI Engineer (Remote) We are seeking an experienced Lead AI Architect / Lead AI Engineer to design, build, and deliver enterprise\-scale Agentic AI and Generative AI solutions. This role will focus on developing production\-ready AI platforms that enhance decision\-making, automate complex processes, and create measurable business value within highly regulated environments. You will combine deep technical expertise in AI architecture, LLMs, multi\-agent systems, and cloud engineering with strong stakeholder engagement and leadership capabilities. Key Responsibilities AI Architecture \& Agentic AI Leadership * Design and deliver end\-to\-end multi\-agent AI systems using modern orchestration frameworks. * Architect production\-grade Retrieval\-Augmented Generation (RAG) solutions with robust governance and traceability. * Define AI evaluation frameworks, guardrails, monitoring standards, and model governance processes. * Build scalable AI platforms supporting enterprise\-wide adoption. * Develop reusable AI assets, frameworks, and accelerators. * Implement LLMOps and MLOps best practices across the AI lifecycle. * Establish monitoring for model performance, drift, hallucination rates, latency, and cost efficiency. * Lead Responsible AI initiatives, ensuring compliance, explainability, and risk management. * Support secure deployment and ongoing optimisation of AI solutions in production environments. * LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI or similar * Azure OpenAI, OpenAI, Anthropic or open\-source LLMs * Databricks, MLflow, Azure ML * Apache Spark, Kafka, Delta Lake * Docker and Kubernetes * Terraform and CI/CD tooling * Monitoring and observability platforms Leadership \& Stakeholder Management * Experience leading cross\-functional teams of engineers, data scientists, and technical specialists. * Strong client\-facing and stakeholder management skills. * Demonstrated success taking AI solutions from concept through to enterprise production deployment. * Ability to communicate effectively with both technical and non\-technical audiences. * Competitive salary and benefits package. * Flexible remote/hybrid working. * Career progression and leadership opportunities. * Training and professional development support. * Exposure to large\-scale AI transformation programmes. * Collaborative and innovative working environment. Work Location: South Africa Availability: Full time
Job Title: Data Engineer Company: VML Job Category: Machine Learning Roles & Responsibilities: VML is part of WPP, the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting\-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel. Our global team of 4,000\+ data specialists serves more than 150 markets across the globe. We operate with unwavering integrity, a profound respect for data privacy, and complete transparency. We champion new ideas and diverse perspectives, fostering a culture of creative bravery, open listening, positivity, and collective strength in all that we do. We are constantly evolving, empowering our clients to stay ahead in a rapidly accelerating digital landscape. Please note that UK working hours will be required for this role. The Data Engineer, Marketing \& Analytics, is a key technical contributor responsible for designing, building, and maintaining robust data pipelines and infrastructure that power VML's digital and media reporting and product analytics for our tier\-one clients. This role focuses on ensuring high\-quality, reliable, and accessible data for analysis, reporting, and advanced analytical initiatives, including feeding platforms like Amplitude. You will leverage a modern data stack including Google Cloud Platform (GCP), Matillion for ETL/ELT, Snowflake as our cloud data warehouse, and Rudderstack for customer data ingestion. Your work will directly enable our analytics and data science teams to derive critical insights, fuel AI/ML applications, and provide robust data to product analytics platforms like Amplitude. Beyond pipeline development, you will also be responsible for monitoring, troubleshooting, and optimizing data workflows. This position requires strong engineering principles, a meticulous approach to data quality, and a collaborative spirit to work with cross\-functional teams. Responsibilities: As a Data Engineer, your duties will include, but will not be limited to, the following: * Data Pipeline Development: Design, develop, and implement scalable and reliable ETL/ELT pipelines using Matillion and GCP services (e.g., Cloud Functions, Cloud Storage, Big Query, Composer/Airflow) to ingest, transform, and load digital and media data into Snowflake. * Data Ingestion \& Integration: Configure and manage data streams from various sources, including customer data platforms like Rudder stack, APIs (e.g., ad platforms, analytics tools), and other raw data feeds. Understand and integrate data from advanced omnichannel tagging and data collection systems, ensuring data readiness for tools like Amplitude. * Data Transformation \& Modeling: Develop complex SQL transformations within Snowflake to clean, enrich, and model data for optimal performance and usability by reporting tools (e.g., Tableau, Amplitude) and analytical applications. Design and implement data schemas (star, snowflake, data vault) to support business requirements. * Infrastructure Management: Monitor, maintain, and optimize the performance, security, and cost\-efficiency of our data infrastructure components across GCP and Snowflake. * Quality Assurance \& Monitoring: Implement robust data quality checks, validation rules, and automated monitoring solutions for all data pipelines to ensure accuracy, completeness, and timeliness of data delivered to various platforms, including Amplitude. Troubleshoot and resolve data discrepancies and pipeline failures promptly. * Reporting \& Visualization Support: Collaborate with analytics specialists and data visualization experts (e.g., those using Tableau and Amplitude) to ensure data models meet their reporting needs and are optimized for query performance. * Documentation \& Governance: Create and maintain comprehensive documentation for data pipelines, data models, schemas, and data dictionaries. Adhere to data governance best practices, including data privacy (GDPR, CCPA) and security standards. * Collaboration \& Innovation: Work closely with data analysts, data scientists, product managers (who often use Amplitude), solution architects, and client teams to understand data requirements and translate them into technical solutions. Stay informed on emerging data engineering technologies, AI/ML data preparation techniques, and best practices. * Automation: Automate routine data management tasks, monitoring, and deployments where possible using scripting languages like Python. * Minimum 5 years' engineering and development experience * Strong Client\-facing skills – responsive, results\-driven, dedicated to customer support, and adept at consulting on complex technical and strategic data challenges. * Strong attention to detail, excellent organization skills, and ability to work independently and manage multiple projects/responsibilities and small teams in a fast\-paced environment. * Exposure to enterprise\-level clients and understanding of complex web/app ecosystems, privacy regulations (GDPR, CCPA), and best practices for data governance. * In\-depth knowledge and understanding of various client websites, mobile apps, their business models, and online marketing/product strategy. Technical \& Development Expertise: * Marketing \& Product Data: Strong understanding of digital marketing data (e.g., ad impressions, clicks, conversions), media reporting metrics, product usage data (e.g., events, user flows as seen in Amplitude), and customer journey data. * Data Governance: Familiarity with data privacy regulations (GDPR, CCPA) and best practices for data security and compliance. * Analytics Ecosystem: Understanding of how data engineering supports analytics, reporting, and machine learning initiatives across various platforms including Amplitude. Leadership \& Interpersonal Skills: * Client Engagement: Demonstrated experience as a senior consultant, engaging directly with clients to gather requirements, present solutions, and manage expectations. * Communication: Exceptional written and oral communication skills, capable of authoring complex technical specifications, blueprints, and proposals, and confidently leading technical discussions. * Problem\-Solving: Proven ability to work collaboratively as part of a team to solve complex problems in varied, fast\-paced environments. * Project Management Acumen: Experience working effectively within a project management office framework. * Methodologies: Familiarity and experience with best practice development methodologies. * Adaptability: Ability to instill confidence through maturity, expertise, and impeccable communications. \Please note that our business is an equal opportunity employer and preference in appointment for the role will be in line with the EE strategy of our organisation\ When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it. Work Location: WC, South Africa Availability: Full time
Job Title: Junior Digital Sustainability Engineer - Sandton Head Office Company: Growthpoint properties Job Category: Machine Learning Roles & Responsibilities: To build and enhance the digital capabilities of the Sustainability business by leveraging data engineering, analytics, automation and artificial intelligence to deliver innovative solutions that improve sustainability performance, operational insights and reporting across Growthpoint's portfolio. The role serves as a technical enabler between Sustainability and Information Technology, transforming complex sustainability and operational data into secure, scalable and supportable digital solutions that align with Growthpoint’s enterprise architecture, approved technology platforms, data governance requirements, cybersecurity standards and IT delivery processes. Data platform development \- The Sustainability Insight data capability is developed and maintained within the approved DDD and enterprise data architecture, using approved platforms and common data, integration, security and governance standards, to provide trusted Sustainability information. Dashboard development \- Dashboards and analytical products are delivered through approved enterprise reporting platforms, using governed Sustainability data products, agreed metric definitions, appropriate access controls and reusable semantic models where applicable. Automated reporting \- Reporting processes are automated using approved tools and service identities, with appropriate monitoring, exception handling, documentation, ownership and support arrangements. Process automation \- Manual Sustainability processes are automated using approved enterprise tools and within approved IT development, testing, security, change and support frameworks. Continuous improvement \- Opportunities identified and implemented to improve existing systems and processes. Solution support \& training \- Users effectively supported and enabled to use developed solutions. IT architecture and design compliance; secure development and access control; controlled testing and deployment; technical documentation and support handover. Digital solutions are designed, reviewed, developed, tested, deployed, documented and supported in accordance with approved IT, data governance, cybersecurity, change management and release management requirements. * Knowledge of data engineering, data modelling and data warehousing concepts. * Knowledge of Power BI, Microsoft Fabric and enterprise reporting environments. * Knowledge of artificial intelligence, machine learning and workflow automation principles. * Understanding of APIs, system integrations and cloud\-based data platforms. * Understanding of secure development principles, identity and access management, data privacy, information security, source control, testing, change and release management, and production support within an enterprise environment. * Understanding of sustainability, energy, water, carbon and ESG reporting principles would be advantageous. * Python programming skills. * SQL and database querying skills. * Power BI dashboard development and reporting. * Data analysis and visualisation. * API and system integration fundamentals. * Technical documentation and reporting. * Ability to learn quickly. * Requirements analysis and translation into technical specifications; * Version control and collaborative development practices; * Solution testing and defect management; * Secure configuration and access\-control fundamentals; * Familiarity with Power Platform, Azure DevOps or equivalent approved lifecycle tooling would be advantageous. * Sustainability Team members. * Information Technology, Enterprise Architecture, Information Security, Data and Analytics or DDD teams, as applicable * Property and Facilities Management teams. * Finance and reporting stakeholders. * Software and technology vendors. * Metering and monitoring service providers. * Makes day\-to\-day decisions relating to assigned tasks and technical activities. * Recommends improvements to reports, dashboards, processes and systems. * Exercises judgement within defined guidelines and procedures. * Works under supervision, with strategic, financial and policy decisions remaining with management. * Selects appropriate methods and approved tools for allocated work within agreed solution architecture, security, data\-governance and delivery standards. * May recommend new tools or architectural approaches, but may not introduce them into production without the required business and IT approvals. * Works within established processes and frameworks. * Solves routine to moderately complex technical and data\-related problems. * Analyses data and identifies trends, anomalies and opportunities for improvement. * Develops solutions under guidance from senior team members. * Escalates complex or high\-risk matters when appropriate. Work Location: Sandton, GP, South Africa Availability: Full time
Job Title: Analytics Grad Program - Client Capabilities Network Company: McKinsey & Company Job Category: Machine Learning Roles & Responsibilities: In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. You will contribute across the full AI value chain, from shaping big\-picture strategy to hands\-on building and coding. You will help clients identify where AI can create value across their business, develop multi\-year AI roadmaps, and define the operating models needed to deliver them. This includes thinking through team structures, required capabilities, technology stacks, and investment priorities. You will also play a role in reimagining how business functions operate in an AI\-native future. For example, you may help redesign functions such as fraud detection by integrating machine learning models, virtual AI agents, and generative AI co\-pilots to enhance both efficiency and decision\-making. In addition, you will build and deploy AI solutions, developing and scaling components using modern technologies such as Python, PySpark, SQL, and cloud platforms including AWS, GCP, and Azure. You will work with advanced tools and frameworks to bring these solutions to life in real\-world client environments. You will be supported by a global network of experts, comprehensive training programs, and ongoing mentorship. The program is designed to accelerate your development and equip you with skills that will support a wide range of future career paths. Work Location: Johannesburg, Gauteng, South Africa Availability: Full time
Job Title: Quantitative Analyst Company: Nedbank Job Category: Machine Learning Roles & Responsibilities: Leadership Pipeline Manage Self: Professional FAIS Affected Job Purpose Support the development, refinement, testing, deployment, and maintenance of quantitative models, dashboards, and analytics solutions in accordance with group methodologies and/or industry best practices. Build foundational expertise in data science, risk modelling, and commercial acumen to enable independent delivery of high\-impact solutions across the Nedbank value chain. They support senior quantitative analytics teams by collecting, cleaning, and analysing data that forms the foundation for complex quantitative solutions. Job Responsibilities Domain and Technical Expertise * Acquire and continuously develop/improve deep expertise in banking products, services and risk management. * Acquire and continuously develop/improve deep domain expertise in quantitative analytics and their application across various risk types and specialised functional. * Conduct research and analysis to build, maintain and continuously refine mathematical and statistical models and quantitative solutions. Collaboration and Development * Leverage mentorship and guidance from Senior Quantitative analysts and the broader quantitative teams regarding best practices and research to calibrate and validate model and quantitative solution components. * Collaborate with senior quantitative analysts to commercialise quantitative models and embed them into production systems. Model Design and Development * Contribute to the build and maintenance of domain specific models and quant solutions (e.g. credit, pricing, market risk, trading, liquidity, impairments). * Apply statistical and machine learning techniques to extract insights and improve model performance. * Ensure accuracy and stability of quantitative solutions and models (and or contributions) while considering the business impact. * Contribute to testing of components of complex quantitative solutions using multiple testing methods (e.g. back testing, stress testing, unit testing, integration testing, system testing, regression, black box, sanity, conformance, acceptance, forward etc.). * Analyse quantitative solutions or statistical models (e.g. machine learning, NLP, etc.) outputs using various techniques and methodologies. * Engineer and validate large datasets for model consumption, ensuring quality and integrity. Delivery management * Work and collaborate within and across teams, senior analysts and digital/technology teams to develop, maintain, enhance and deploy scalable models. * Support senior analysts and broader quantitative teams in the business change management and capability development processes related to the deployment of model/quantitative solutions. * Ensure agile delivery, cross functional collaboration and deployment readiness of models. Job Responsibilities Continue People * Participate in multi\-disciplinary/cross functional/business teams to design and deploy quant solutions. * Provide and receive peer reviews and constructive feedback. * Adopt a development mindset, demonstrating commitment, learning agility and an independent drive for continuous improvement and growth towards independent design and delivery of quantitative solutions. * Participate as a member of agile teams (sometimes multiple simultaneously) and deliver within continuously evolving strategic contexts and domain areas. * Actively contribute to a culture of innovation and continuous learning within the greater quant community. Governance, Risk and Finance * Comply with both internal risk governance frameworks and external regulations, ensuring both integrity of quantitative solutions developed and adherence to conduct requirements (e.g., independence between model development and validation, SAS MRM Standards.) * Develop an understanding of the regulatory requirements and various standards (e.g. IFRS, Basel, etc.), ensuring their effective implementation in all relevant quantitative solutions and model development processes. * Participate in and provide technical support for the remediation of regulatory, validation, peer review, and audit findings. * Support model risk mitigation through robust validation, monitoring and remediation practices Technical / Professional Knowledge * Demonstrates foundational understanding of quantitative methods and apply them to defined tasks; more complex analyses are completed with guidance and supervision. * Strong knowledge of probability and statistics * Technical understanding or exposure to statistical analysis and models * Strong analytical and problem\-solving skills and ability to translate complex data and model / solution outcomes into business insights. * Proficiency or familiarity in programming languages (e.g. Python, R, C\+\+, Java, SQL, SAS, VBA, MATLAB, etc.), with the ability to translate algorithms and mathematical or statistical models into flexible and scalable coding logic * Technical understanding or exposure to big data concepts, data structures, data storage, data extraction/mining. * Technical understanding or exposure of model lifecycle management i.e. development, validation, implementation, monitoring. * Technical understanding and exposure to AI/ML techniques and model explainability tools (e.g., SHAP, LIME etc.). * Some exposure to banking regulation and accounting standards preferred but not essential Work Location: Johannesburg, Gauteng, South Africa Availability: Full time
Job Title: Roche Next-Generation Sequencing (NGS) & Agentic AI Engineering Support Internship Company: Roche Job Category: Machine Learning Roles & Responsibilities: Roche Next\-Generation Sequencing (NGS) \& Agentic AI Engineering Support Internship Program 🧬 Are you eager to bridge biological science, molecular assay design and practical Artificial Intelligence tools to shape the future of genomics? The Roche Diagnostics R\&D teams in Cape Town are seeking a highly motivated and talented recent graduate to join our 12\-month Internship program. Housed directly within the Sequencing Assay \& Reagent Development function. You will apply your biological understanding to build and evaluate practical AI tools that assist scientists in reagent and assay development while supporting data\-driven decision\-making. What You'll Do As an intern in Sequencing Assay \& Reagent Development, you will play a key role in bringing practical AI and data workflows into everyday assay design and laboratory research. Responsibilities include: * Build AI Tools for Development: Develop and refine Python pipelines and LLM agent workflows that analyse dense technical specifications, scientific literature, and standard operating procedures (SOPs) for assay design * Verify Model Accuracy \& Quality: Build automated verification checks to ensure AI model outputs strictly match real biological evidence, correct citations, and assay data attribution * Interrogate Technical Literature: Apply computational and bioinformatics tools to evaluate scientific documents, NGS assay criteria, and reagent performance requirements * Build \& Refine Test Pipelines: Design structured prompts and automated verification tests to evaluate AI tool performance against real\-world scientific examples * Bridge Science \& Computing: Partner with Assay \& Reagent Development scientists to understand their daily lab and design workflows, turning scientific requirements into practical AI utilities. * Maintain Technical R\&D Documentation: Document code architectures, testing outcomes, and failure\-case analysis to support diagnostic product development. Keep meticulous lab records, analyse experimental data, and prepare clear, comprehensive reports to support project goals * Hands\-On Training: Work alongside experienced Bioinformatics scientists, gaining real\-world training in Product Development and AI engineering. * Cross\-Functional R\&D Exposure: Real\-world insight into how computational utilities directly support wet\-lab sequencing assay and reagent development. * Applied AI Engineering Skills: Practical experience building reliable, verifiable AI tools for scientific literature and product design and development. * Dedicated Mentorship: Receive personalised guidance and career advice from our senior scientists and specialists * A Clear Career Pathway: Build a unique competitive profile combining molecular biological skills with practical AI tool development experience Who We Are Roche Diagnostics is a global leader in healthcare, dedicated to our purpose of Doing now what patients need next. At our Cape Town site, we play a pivotal role in this global mission, driving scientific innovation to create diagnostic solutions that improve health outcomes for all. Join a team that exemplifies a spirit of inclusivity, excellence, and collaboration. Ready to reshape the future of assay and reagent development with us? Work Location: Cape Town, Western Cape, South Africa Availability: Full time
Job Title: Lead Data Engineer Company: CV Library Job Category: Machine Learning Roles & Responsibilities: The Role The Lead Data Engineer is a critical role in the successful design and implementation of data solutions and projects and the overall platform governance. We are looking for an experienced Data Engineering Lead to lead the development, reliability and evolution of CV\-Library’s data engineering capability. This is a hands\-on leadership role. You will be responsible for setting the technical direction of the Data Engineering function while remaining close to the engineering work, designing solutions, reviewing architecture and code, improving our data platform, and helping the team deliver reliable, scalable data products. Responsibilities * Define and drive the technical strategy for our AWS\-based data platform and Data Engineering function. * Lead the design and delivery of scalable, reliable and cost\-effective data solutions. * Build and optimise modern batch and real\-time data pipelines to support business growth. * Own and evolve our data architecture, ensuring scalability, performance and maintainability. * Champion engineering best practices, including code reviews, technical standards and architectural governance. * Develop robust data models and datasets that power reporting, analytics, product insights and machine learning. * Drive improvements in data quality, observability, monitoring and platform reliability. * Lead the adoption of Infrastructure as Code, CI/CD and automation across the data platform. * Work closely with analysts, data scientists and business stakeholders to turn data requirements into impactful solutions. * Evaluate and implement new technologies, including AWS AI services, to enhance platform capabilities. * Lead incident resolution, root cause analysis and continuous improvement initiatives. * Mentor and develop a team of Data Engineers, fostering a culture of technical excellence, ownership and collaboration. * Strong commercial experience in Data Engineering, with experience leading or mentoring engineers. * Strong experience designing and building cloud\-based data platforms, ideally on AWS. * Excellent SQL skills and strong experience with analytical data modelling. * Strong hands\-on experience with dbt in a production environment. * Experience building and operating production\-grade data pipelines. * Strong Python development skills. * Experience with data warehouses such as Amazon Redshift. * Experience with orchestration technologies such as Apache Airflow. * Experience with infrastructure as code, ideally Terraform. * Good understanding of CI/CD and modern software engineering practices. * Experience working with both batch and event\-driven/streaming data. * Strong understanding of data quality, monitoring, observability and operational reliability. * Ability to communicate complex technical concepts clearly to both technical and non\-technical stakeholders. * A pragmatic approach to engineering: knowing when to build, when to improve and when to keep things simple. Work Location: Cape Town, WC, South Africa Availability: Full time
Job Title: Ai Engineer Company: Liquid Thought Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities 1\. AI production and delivery * Design, develop and deploy AI/ML solutions and pipelines using cloud infrastructure (AWS, Google Cloud, Azure) * Build and maintain production machine learning models that power features across the company's platforms and products * Implement MLOps practices including model versioning, automated testing, monitoring and continuous deployment * Optimise model performance, latency and cost for production environments 5\. Technical excellence and innovation * Write clean, maintainable and well documented Python code, following software engineering best practices * Design and implement APIs and microservices for AI model serving and integration * Experiment with LLMs, transformer architectures and generative AI * Stay current with AI/ML developments and share new approaches with the team 6\. Collaboration * Participate in code reviews, technical discussions and architecture conversations * Support junior team members through code reviews and knowledge sharing * Collaborate with data scientists and engineers to take prototypes into production Personal characteristics * Driven by innovation: passionate about exploring new AI technologies and finding creative solutions * Collaborative: able to work across multidisciplinary teams and explain technical concepts to people without a technical background * Focused on results: committed to delivering measurable impact for the business and its customers * Continuous learner: keeps up with the fast moving AI/ML landscape * Problem solver: analytical, with the ability to break complex challenges into manageable parts * Quality conscious: attentive to detail and committed to building robust, secure, scalable and maintainable systems * Responsible: understands the importance of trust, privacy and ethics when applying AI in financial services Work Location: Cape Town, Western Cape, South Africa Availability: Full time
Job Title: Intermediate Software Engineer Company: Kriterion Job Category: Machine Learning Roles & Responsibilities: We're looking for someone passionate about technology and eager to expand their skills within a team oriented towards continuous improvement and innovation. If you are ready to take on exciting challenges and grow within a supportive environment, we would love to hear from you. Kriterion is a Pretoria\-based SaaS company at the cutting edge of predictive maintenance and intelligent condition monitoring. As a rapidly growing scale\-up, Kriterion has proven its business model and is now focused on expanding our market presence and refining our operations to meet increasing demand. Job Description As an Intermediate Software Engineer at Kriterion, you'll join a vibrant, collaborative team that thrives on innovation and mutual learning. Your role will involve a blend of full\-stack engineering tasks, focusing on integrating AI insights into the Cerberus platform to facilitate responsive, dynamic user interactions and robust backend infrastructures. * Develop Comprehensive Solutions: Build and implement features for Cerberus, focusing on creating systems that leverage machine learning insights for enhanced asset interaction. * Enhance Tooling and Infrastructure: Collaborate on the design and development of backend systems that support machine learning workflows and robust data operations. * Collaborative Coding: Be prepared to stretch your boundaries in a supportive environment where you will gain a broad skill set across cutting\-edge technologies. Work Location: Pretoria, Gauteng, South Africa Availability: Full time
Job Title: Data Scientist Company: PEP Job Category: Machine Learning Roles & Responsibilities: Your role will be pivotal in building end\-to\-end advanced analytics systems that elevate our decision\-making capabilities. You will act as a technical anchor, translating complex algorithmic outputs into actionable business strategies for non\-technical stakeholders, while mentoring junior talent and ensuring adherence to best practices. Join us in transforming data into a strategic asset! KEY RESPONSIBILITIES * Lead the design, development and deployment of scalable, production\-grade ML models and data products within a cloud environment * Analyse model output and complex datasets to uncover insights and trends that inform business decisions and drive growth * Design and execute controlled experiments to test new strategies, providing statistically sound recommendations * Collaborate with cross\-functional teams to implement models * Communicate insights and recommendations to stakeholders and decision makers in a clear and concise manner * Drive innovation by identifying new opportunities, data sources and methodologies for improved solutions * Guide, mentor and upskill junior data scientists, fostering a culture of continuous learning and technical excellence * Define and enforce best practices for code quality, version control, model validation and MLOps deployment pipelines Work Location: Parow, Western Cape, South Africa Availability: Full time
