AI Data Analyst Predictive Intelligence And Agentic Systems

The Greater Change; Dubai; Sur place; AED 156 000 - 335 000; Plein temps

Avantages offerts par ce poste

Visa & Medical Insurance

Paid Leave

Annual Flight Ticket

End-of-Service Gratuity

Learning & Career Growth

Autonomy & Impact

Résumé du poste

The Greater Change, a Dubai-based developer, seeks an AI Data Analyst to architect intelligence for its ecosystem. You will manage the Data Lake, convert raw smart home telemetry into actionable insights, and build predictive models for anticipatory, personalised experiences.

You will collaborate with robotics and AI teams to drive agentic interfaces and ensure data privacy while delivering dashboards and performance metrics that guide product decisions.

Qualifications

• Data Lake architecture and Python (expert).
• Experience with ML/AI pipelines for IoT data.
• Familiarity with vector databases and RAG data prep.

Responsabilités

• Design and maintain a high-performance Data Lake for IoT telemetry.
• Build ETL/ELT pipelines and vectorization for predictive models.
• Develop ML models for behaviour patterns and proactive automation.
• Create dashboards translating model outputs into product insights.

Connaissances

SQL

Python

Spark

Flink

Data Lake

Machine Learning

RAG

Vector DBs

Time-Series

Pinecone

ChromaDB

Weaviate

DuckDB

Parquet

Pandas

NumPy

LangChain

LangGraph

OpenAI API

Ollama

MQTT

Home Assistant

Formation

Data Science/CS degree

Outils

DuckDB

Apache Parquet

Pandas

NumPy

PyTorch

TensorFlow

Scikit-learn

OpenAI API

LangChain

LangGraph

Ollama

MQTT

Home Assistant

Pinecone

ChromaDB

Weaviate

Description du poste

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.

AI Data Analyst (Predictive Intelligence & Agentic Systems)

Mandatory Keywords: Python, SQL, Data Lake, Machine Learning, Predictive Modeling, RAG, Vector Databases, Time-Series Analysis

Peripheral 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

Role Overview

We 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.

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 be the bridge between raw IoT data and the 'brain' of our autonomous systems.

Key Responsibilities

1. Data Lake Management & 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 Vectorization and Chunking strategies to prepare unstructured data for RAG (Retrieval-Augmented Generation) and long-term agent memory.

2. Pattern Analysis & Inference Training

• Develop and deploy Machine Learning models to identify behavioural patterns (e.g., 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 deep-dive Event Analysis to identify anomalies, optimise system performance, and improve the reliability of autonomous robot behaviours.

3. Predictive Intelligence & Personalisation

• Build the logic that powers Predictive Automation: ensuring the home doesn't 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 (e.g., preparing a meeting room before the user arrives or adjusting home climate based on predicted activity).


• Collaborate with the Robotics and AI Engineering teams to feed personalised \"profiles\" into the agentic workflows.

4. Analytics & 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.

Technical Requirements

• Data Engineering: SQL, Python (Expert), Spark/Flink, Data Lake Architecture


• Machine Learning: Scikit-learn, PyTorch/TensorFlow, Inference Optimisation, Reinforcement Learning (basics)


• Vector Databases: Pinecone, ChromaDB, or Weaviate (experience with Vectorization & Chunking)


• Data Processing: DuckDB, Apache Parquet, Pandas, NumPy


• AI Frameworks: LangChain/LangGraph (for RAG data prep), OpenAI API, Ollama


• IoT & Telemetry: MQTT, Home Assistant Data Exports, Time-Series Analysis


• Mathematics: Probability, Statistics, Linear Algebra (for model training)

Preferred Qualifications

• Data Science Background: A degree in Data Science, Computer Science, or a related quantitative field.


• Predictive Modeling Experience: Proven experience building models that predict human behaviour or time-series events.


• RAG Expertise: 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\", focusing on reasoning and planning rather than just If/Then logic.

Why This Role?

You 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.

Additional Suggestions for the Candidate

• Portfolio 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.


• 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/secure sensitive user telemetry while still maintaining high-utility data for ML training.

Compensation & 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 Internal Policy.


• Visa & Medical Insurance: Full UAE visa sponsorship and comprehensive health cover.


• Paid Leave: As per Company Internal Policy and UAE Labour Law.


• Annual Flight Ticket & End-of-Service Gratuity: As per UAE market practice and Labour Law.


• Modern Tooling: Modern hardware plus cloud data and machine learning tools.


• Learning & Career Growth: Certification and conference support, with a clear path to leadership.


• Autonomy & Impact: Build the intelligence layer from the ground up and shape how AI is deployed in the physical world.