**Req ID:** 29785 **Posted on:** 25 Nov 2025 **Location:**Huechuraba, Chile **Department:** Customer Projects Deployment \& Services Long Description **BI \& Data Scientist** **PURPOSE OF THE JOB:** * To develop and deploy advanced analytics, machine learning, and AI solutions that enhance digital intelligence modules, operational performance, and decision\-making. Will work with cross\-functional teams to deliver predictive insights and intelligent automation, also assisting in the interpretation of complex data to support strategic and operational decisions. * Act as an organisational enabler, building data capability within functional teams through continuous training, coaching, and data support, and fostering a culture of data\-driven decision\-making across the organisation. **ROLE:** * Machine Learning \& AI * Design and deploy ML, deep learning models for fraud detection, anomaly identification, predictive analytics, behavioral segmentation, and risk scoring. * Apply AI techniques such as LLM, image processing, and reinforcement learning to improve Digital Services Intelligence and reporting. * Conduct feature engineering, model tuning, and performance evaluation using statistical and cross\-validation methods. * Implement MLOps pipelines for model lifecycle management, including versioning, deployment, and monitoring. * Data Engineering \& Analytics * Build and maintain ETL pipelines using SQL, Python, and SSIS for scalable data ingestion and transformation. * Integrate and analyse data from operational platforms: BI, Splunk, Nagios, ServiceNow, DMS * Develop interactive dashboards and data visualizations using Power BI or Tableau for real\-time insights and strategic reporting. * Conduct root cause analysis, trend forecasting, and scenario modelling to support action planning. * Lead training and coaching sessions to build data literacy and promote a data\-driven mindset across teams. * Support the development and delivery of reporting and analytics training for customer and taxpayer system users. **PROFILE:** * Bachelor's or master's degree in data science, Computer Science, Artificial Intelligence, Statistics, or a related field. * 3\+ years of experience in data science, AI development, or advanced analytics roles. * Proficiency in Python, SQL, and data visualisation tools (Power BI, Tableau). * Hands\-on experience with ML frameworks (e.g., scikit\-learn, TensorFlow, PyTorch). * Familiarity with core tools: Splunk, ServiceNow, DMS, and Linux environments. * Experience with AI applications such as LLM (ollama, LangChain, Hugging Face), computer vision (OpenCV), and deep learning. * Solid understanding of ITSM, Service Management, and data governance principles. * Experience working with large structured and unstructured datasets. * Ability to present insights to senior management and influence strategic decisions. **Knowledge (desirable)** * RPA tools (e.g., UiPath, Power Automate). * Cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes). * MDX, SSAS, SSRS, and SSIS. * MLOps, CI/CD pipelines, and version control (Git). * Data privacy, security, and compliance frameworks