{"id":3911472,"url":"https://alion.io/job/the-greater-change-ai-data-analyst-predictive-intelligence-agentic-systems","title":"AI Data Analyst (Predictive Intelligence & Agentic Systems)","company":{"id":5864,"name":"The Greater Change","domain":"thegreaterchange.co.uk","url":"https://alion.io/company/thegreaterchange","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dubai, United Arab Emirates"],"countries":["AE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"DuckDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GDPR","optional":false},{"name":"Home Assistant","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"MQTT","optional":false},{"name":"NumPy","optional":false},{"name":"Ollama","optional":false},{"name":"OpenAI","optional":false},{"name":"Pandas","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"Weaviate","optional":false}],"status":"live","first_seen_at":"2026-11-07T07:40:26Z","employer_posted_date":"2026-11-07","last_verified_at":"2026-11-09T09:00:45Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About the Client\nOur client is a Dubai-based developer shaping the future of real estate and hospitality through technology-led, design-driven projects.\nTheir vision combines intelligent living, longevity and wellness, and autonomous systems within every development.\nOperating across smart home technology, robotics and agentic AI, they are building homes that think, learn and respond.\nThey are assembling a high-calibre technology team to turn raw data into a truly predictive and personalised living experience.\nJob Description: AI Data Analyst (Predictive Intelligence & Agentic Systems)\nMandatory Keywords: Python, SQL, Data Lake, Machine Learning, Predictive Modeling, RAG, Vector Databases, Time-Series Analysis\nPeripheral Keywords: Spark, Flink, ETL/ELT, PyTorch, TensorFlow, Scikit-learn, DuckDB, Apache Parquet, Pandas, NumPy, Pinecone, ChromaDB, Weaviate, LangChain, LangGraph, Ollama, OpenAI API, MQTT, Home Assistant, IoT Telemetry, Reinforcement Learning, Statistics, Anomaly Detection, Data Visualization, Dashboards, Data Privacy, GDPR\nRole Overview\nWe are seeking a sophisticated AI Data Analyst to serve as the architect of intelligence for our ecosystem. You will be responsible for managing our comprehensive Data Lake, transforming raw telemetry from smart home devices and robotic integrations into actionable intelligence.\nYour mission is to move beyond “reactive” automation. You will build the data pipelines and machine learning models that allow our Agentic Interfaces to anticipate user needs, recognise patterns of life, and provide a truly predictive, personalised experience. You will be the bridge between raw IoT data and the “brain” of our autonomous systems.\nKey Responsibilities\n1. Data Lake Management & Engineering\nArchitect and maintain a high-performance Data Lake to ingest, store, and process massive streams of event data from smart home devices, sensors, and robotic units.\nDesign robust ETL/ELT pipelines to ensure data integrity, low-latency availability, and high-quality inputs for model training.\nImplement advanced Data Vectorization and Chunking strategies to prepare unstructured data for RAG (Retrieval-Augmented Generation) and long-term agent memory.\n2. Pattern Analysis & Inference Training\nDevelop and deploy Machine Learning models to identify behavioural patterns (e.g., user routines, occupancy trends, and environmental preferences).\nConduct Inference Training to refine how our agents “reason” about user journeys, moving from simple triggers to complex anticipatory actions.\nPerform deep-dive Event Analysis to identify anomalies, optimise system performance, and improve the reliability of autonomous robot behaviours.\n3. Predictive Intelligence & Personalisation\nBuild the logic that powers Predictive Automation: ensuring the home doesn’t just react to a command, but anticipates the user’s next move.\nDevelop “User Journey” models that allow our Agentic Interfaces to provide proactive assistance (e.g., preparing a meeting room before the user arrives or adjusting home climate based on predicted activity).\nCollaborate with the Robotics and AI Engineering teams to feed personalised “profiles” into the agentic workflows.\n4. Analytics & Visualisation\nCreate internal dashboards to monitor the “health” of our intelligence, tracking model accuracy, prediction success rates, and data flow bottlenecks.\nTranslate complex data findings into actionable product insights for the engineering and design teams.\nRequirements\nTechnical Requirements\n Data Engineering: SQL, Python (Expert), Spark/Flink, Data Lake Architecture\n Machine Learning: Scikit-learn, PyTorch/TensorFlow, Inference Optimisation, Reinforcement Learning (basics)\n Vector Databases: Pinecone, ChromaDB, or Weaviate (experience with Vectorization & Chunking)\nData Processing: DuckDB, Apache Parquet, Pandas, NumPy\n AI Frameworks: LangChain/LangGraph (for RAG data prep), OpenAI API, Ollama\nIoT & Telemetry: MQTT, Home Assistant Data Exports, Time-Series Analysis\n Mathematics: Probability, Statistics, Linear Algebra (for model training)\nPreferred Qualifications\nData Science Background: A degree in Data Science, Computer Science, or a related quantitative field.\nPredictive Modeling Experience: Proven experience building models that predict human behaviour or time-series events.\n RAG Expertise: Deep understanding of how to chunk and vectorise data for Large Language Models (LLMs).\nAgentic Mindset: An understanding of how “Agents” differ from standard “Automations”, focusing on reasoning and planning rather than just If/Then logic.\nWhy This Role?\nYou won’t be cleaning spreadsheets; you will be building the Cognitive Layer of a modern home. You will have the opportunity to work with cutting-edge data architectures and see your models directly influence how people interact with their physical environment. If you want to turn “Smart Homes” into “Intuitive Homes,” this is your role.\nAdditional Suggestions for the Candidate\nPortfolio Focus: We value candidates who can demonstrate a project involving time-series prediction, a custom RAG pipeline, or a complex data visualisation of IoT telemetry.\nScalability Mindset: As the business grows, so will our data. We need someone who thinks about how to scale data ingestion from 10 homes to 10,000.\nPrivacy First: You must have a strong understanding of data privacy and how to anonymise/secure sensitive user telemetry while still maintaining high-utility data for ML training.\nBenefits\nCompensation & Benefits\nCompetitive Tax-Free Salary: A market-leading monthly package in AED, commensurate with experience.\nPerformance Incentives: Rewards linked to quality and delivery outcomes, as per Company Internal Policy.\nVisa & Medical Insurance: Full UAE visa sponsorship and comprehensive health cover.\nPaid Leave: As per Company Internal Policy and UAE Labour Law.\nAnnual Flight Ticket & End-of-Service Gratuity: As per UAE market practice and Labour Law.\nModern Tooling: Modern hardware plus cloud data and machine learning tools.\nLearning & Career Growth: Certification and conference support, with a clear path to leadership.\n Autonomy & Impact: Build the intelligence layer from the ground up and 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