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*Job Function * The Data Scientist will support the Data Science and Analytics team in creating and enabling data-driven measurement, insights, monitoring and decision support. This individual will add value to business areas by providing insights, applying data science to inform and optimise decision making and build automated prescriptive analytics solutions that support various business functions and address healthcare challenges. The role requires involvement in the whole data science development process of gaining a business understanding, defining the problem, data cleansing and feature engineering, business modelling and simulation, hypothesis generation and testing, machine learning model training, testing and refinement and finally deployment and monitoring of predicted outcomes within the business solutions. *Education and Experience Required * * Degree (Honours, Masters or PHD) in Statistics, Computer Science, Engineering, Mathematics and / or a combination of these. * Relevant data science certifications such as Python, Microsoft, AWS, Hadoop, big data, machine learning, cloud infrastructure. * A minimum of 4-6 years’ experience in data science related projects. * Experience with Python/Microsoft ML and tools available within the machine learning ecosystem (i.e., NumPy, pandas, matplotlib, SciPy stack) and working in Jupyter notebooks. * Experience with SQL and working with large-scale data sets. * Knowledge and practical experience applying machine learning techniques. * Experience working in agile development teams. * Experience in operationalising data science solutions or similar product development. * Experience in a high-scale production environment is critical. *Skills, Knowledge & Attributes * * Provide support to the ever-evolving strategy of person-centred health and care and the digitisation strategy. Continuously deepen the awareness of the strategy to address new challenges within the Healthcare sector, to build a competitive advantage and sustainability through the company moat strategy. * Knowledge and understanding of the Data Science Development Cycle: business understanding, data profiling, feature derivation and selection, data modelling, model evaluation, product ionisation, monitoring. * Outstanding problem solving and analytical skills. * Knowledge of how the business functions and the underlying strategy which supports the business model as well as improving clinical health and care. * The ability to build, analyse and interpret numerical and non-numerical data to determine potential statistical inferences to inform business and clinical decisions. * Ability in applying statistical machine learning techniques to predictive modelling problems and translating this into business solutions. · Ability to clean and unify messy and complex data sets for easy access and analysis. Combining structured and unstructured data. * Ability to provide detailed https://protool.gumtree.co.za/external-link-browser.html?url=aHR0cHM6Ly9lbi16YS53aGF0am9icy5jb20vY29vcG9iX19jcGxfX18xNTU1XzI4NDU2X180OTc/dXRtX3NvdXJjZT1ndW10cmVlJnV0bV9tZWRpdW09ZmVlZCZrZXl3b3JkPQ==&jid=1197949&xid=1555_28456

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Remote Digitalization Lead (Python/Java/TypeScript

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ENVIRONMENT: Our well-established client in the solar energy industry is on the lookout for an ambitious Digitalization Lead to join their team. DUTIES: * Leading the company’s digitalisation strategy * Consulting with the global and local divisional leads regarding digitalisation requirements * Managing relationships and outsourced processes with external IT consultancies * Building a core digitalisation team and providing training and development opportunities in order to maximise team members’ potentials and growth * Adopting a servant-leader approach and inspiring and motivating team members to achieve the company and team goals * Support Business Intelligence function with the creation of KPI dashboards (SQL queries) * Creating and maintaining ETL processes and performing data migrations * Implementing Lambda functions that interact with IOT devices on our solar sites * Extending and maintaining an existing Web Application (Front-End and Back-End) - ensuring the implemented code is adjusted to specific requirements. * Maintaining and developing the company’s CRM (Salesforce) and the underlying data model * Occasional travel to India / Zurich REQUIREMENTS: * At least three years of experience building and leading a team of engineers in a scrum Environment * Comfortable working with and supporting various divisions (with different levels of technical expertise) to identify Digitalisation opportunities and needs * A creative problem solver and a critical thinker, who is able to make decisive decisions * Good understanding of and experience in CRM technologies - experience with Salesforce advantageous * Experience with SQL-like Database technologies (PSQL, MySQL, SQLite, etc.) * Experience in some or all of the following technologies: ? Backend: Python, Java, etc. ? Frontend: TypeScript, NextJS, Express, React, Bootstrap ? Programming patterns: MVC, Factory, etc. * Good Understanding and Experience in state-of-the-art Cloud technologies and infrastructure: AWS/GCP, EC2/Compute Engine, SQS/PubSub, Lambda/Functions, CICD, Amplify, etc. * Experience working with ETL processes and REST APIs * Excel proficiency ATTRIBUTES * You agree to live out the company values every day of your employment: this includes to put empathy before ego, being authentic no matter what, that we work as one and follow the company’s principle that less is more * A dynamic, cross-functional team player, willing to take initiative on projects in the context of a multicultural scale-up trying to execute big, bold ideas. * Having experience working for an international company, or having studied or worked abroad, considered a plus. * You must be open, honest, trustworthy, a strong communicator, and understand that what we get done as a team surpasses what we get done individually. *While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsucces https://protool.gumtree.co.za/external-link-browser.html?url=aHR0cHM6Ly9lbi16YS53aGF0am9icy5jb20vY29vcG9iX19jcGxfX18xNTU0XzY4OTlfXzQ5Nz91dG1fc291cmNlPWd1bXRyZWUmdXRtX21lZGl1bT1mZWVkJmtleXdvcmQ9&jid=1157422&xid=1554_6899

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Core Competencies Extensive knowledge and experience with software development, web technologies, frameworks, concepts, and terms. Strong relational and non-relational database foundational knowledge. Experienced with analysis and improvement of business and software systems and processes. Strong DevOps, CI/CD, and cloud deployment best practises knowledge, understanding of standards and deployment options. Cloud platform management (GCP, Azure, AWS, etc.) Experience with Linux, JavaScript, Python 3, and tools in our stack including: Node.js, Flask, Django, FastAPI, React, TypeScript, Vite, Emotion, MUI, Mantine, Firebase, Google Analytics, Tableau, Alteryx, GitLab, Terraform, GCP, PowerPoint, Word & Excel. Job Responsibilities Machine Learning Engineering & Operations Architect, develop and maintain a declarative ML operations solution that enables the development, training, benchmarking, serving, and scaling of ML models in a Kubernetes based environment. Enhance our ML capabilities by using both open-source and internally developed tools, designed to efficiently serve and manage models through the modelling lifecycle. Contribute to the development of high-fidelity models and tools to support or simplify the serving of our models in production. Enable ML and workload orchestration by configuring and controlling systems that can scale horizontally using specialized tools and techniques. Maintain up-to-date knowledge of ML engineering platforms, tools, and related technologies. Guide standards and best practices across the data stack. Processes, Automation and DevOps Contribute to the development and maintenance of toolsets and frameworks used to automate the testing and benchmarking of our models. Mature our DevOps practices, cloud-based toolsets, and production applications. Identify systemic inefficiencies, conceptualise possible solutions and drive their development. Ensure consistent documentation of all implemented tools, systems, and processes. Support tools, ML models and infrastructure lifecycles via standard service management principles and processes. Business and Leadership Use service engineering and MLOps techniques to innovate and solve problems, translating business requirements into system designs. Engage with stakeholders to support the design and delivery of data science projects and solutions. Lead and develop a team of junior MLOps engineers. Contribute to our agile way of work and innovation culture. Required Certification/Professional Registration Any data or cloud platform (GCP, Azure, AWS) certification is required, other relevant certifications will be highly advantageous Qualifications A formal qualification of at least NQF level 6 in Computer Science, Mathematics, Statistics, Software and/or Machine Learning or a related field. Any relevant specialised certifications or a post-gradua https://protool.gumtree.co.za/external-link-browser.html?url=aHR0cHM6Ly9lbi16YS53aGF0am9icy5jb20vY29vcG9iX19jcGxfX18xMTA4XzYyNTg1X180OTc/dXRtX3NvdXJjZT1ndW10cmVlJnV0bV9tZWRpdW09ZmVlZCZrZXl3b3JkPQ==&jid=1220663&xid=1108_62585

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"scale model trains" in South Africa

scale model trains in South Africa (148 results)

Results for scale model trains in All Categories in South Africa