AI Data Analyst (Predictive Intelligence & Agentic Systems)

Job description / Role

About the client

• Our client is a Dubai-based developer shaping the future of real estate and hospitality through technology-led, design-driven projects.
• Their vision combines intelligent living, longevity and wellness, and autonomous systems within every development.
• Operating across smart home technology, robotics, and agentic AI, they are building homes that think, learn, and respond.
• They are assembling a high-calibre technology team to turn raw data into a truly predictive and personalised living experience.

Role overview

We are seeking a sophisticated AI data analyst to serve as the architect of intelligence for our ecosystem. You will manage our comprehensive data lake, transforming raw telemetry from smart home devices and robotic integrations into actionable intelligence.

Your 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 bridge raw IoT data and the brain of our autonomous systems.

Key responsibilities

Data lake management and engineering

• Architect 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.
• Design robust ETL/ELT pipelines to ensure data integrity, low-latency availability, and high-quality inputs for model training.
• Implement advanced data vectorisation and chunking strategies to prepare unstructured data for RAG (retrieval-augmented generation) and long-term agent memory.

Pattern analysis and inference training

• Develop and deploy machine learning models to identify behavioural patterns, such as user routines, occupancy trends, and environmental preferences.
• Conduct inference training to refine how our agents reason about user journeys, moving from simple triggers to complex anticipatory actions.
• Perform in-depth event analysis to identify anomalies, optimise system performance, and improve the reliability of autonomous robot behaviours.

Predictive intelligence and personalisation

• Build the logic that powers predictive automation, ensuring the home does not just react to a command but anticipates the user’s next move.
• Develop user journey models that allow our agentic interfaces to provide proactive assistance, such as preparing a meeting room before the user arrives or adjusting the home climate based on predicted activity.
• Collaborate with the robotics and AI engineering teams to feed personalised profiles into agentic workflows.

Analytics and visualisation

• Create internal dashboards to monitor the health of our intelligence, tracking model accuracy, prediction success rates, and data flow bottlenecks.
• Translate complex data findings into actionable product insights for the engineering and design teams.

Requirements

Technical requirements

• Data engineering: SQL, expert-level Python, Spark/Flink, and data lake architecture.
• Machine learning: Scikit-learn, PyTorch/TensorFlow, inference optimisation, and basic reinforcement learning.
• Vector databases: Pinecone, ChromaDB, or Weaviate, with experience in vectorisation and chunking.
• Data processing: DuckDB, Apache Parquet, Pandas, and NumPy.
• AI frameworks: LangChain/LangGraph for RAG data preparation, OpenAI API, and Ollama.
• IoT and telemetry: MQTT, Home Assistant data exports, and time-series analysis.
• Mathematics: Probability, statistics, and linear algebra for model training.

Preferred qualifications

• Data science background: A degree in data science, computer science, or a related quantitative field.
• Predictive modelling experience: Proven experience building models that predict human behaviour or time-series events.
• RAG expertise: A deep understanding of how to chunk and vectorise data for large language models (LLMs).
• Agentic mindset: An understanding of how agents differ from standard automations, with a focus on reasoning and planning rather than simple if/then logic.

Why this role?

You will not 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.

Additional suggestions for candidates

• Portfolio focus: We value candidates who can demonstrate a project involving time-series prediction, a custom RAG pipeline, or complex visualisation of IoT telemetry.
• Scalability 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.
• Privacy first: You must have a strong understanding of data privacy and how to anonymise and secure sensitive user telemetry while maintaining high-utility data for machine learning training.

Benefits

• Competitive tax-free salary: A market-leading monthly package in AED, commensurate with experience.
• Performance incentives: Rewards linked to quality and delivery outcomes, as per company policy.
• Visa and medical insurance: Full UAE visa sponsorship and comprehensive health cover.
• Paid leave: As per company policy and UAE labour law.
• Annual flight ticket and end-of-service gratuity: As per UAE market practice and labour law.
• Modern tooling: Modern hardware, cloud data, and machine learning tools.
• Learning and career growth: Certification and conference support, with a clear path to leadership.
• Autonomy and impact: Build the intelligence layer from the ground up and shape how AI is deployed in the physical world.