Senior Data Scientist

Job description / Role

Key Responsibilities

1. Generative AI & NLP for Engineering

• Data Exploration and Analysis: Query and analyse large domain- or topic-specific data sets from both structured and unstructured sources, identify patterns and features. • Ensure data meets quality standards and requirements before model development.
• Regulation Text Interpretation: Design and fine-tune Large Language Models (LLMs) to parse complex regulatory texts (e.g., building codes, military standards) and extract structured rules for automated compliance checking.
• Rule Formalization: Convert interpreted regulations into computer-processable formats (e.g., object property-condition-value tuples) that can be executed by downstream compliance engines.
• Querying via NLP: Architect methods for LLMs to map natural language requirements directly to specific metadata entities within various schemas (e.g., mapping "systems design" to specified attributes).
• RAG Architecture: Implement Retrieval-Augmented Generation (RAG) pipelines that allow systems to query vast repositories of technical documentation and historical project data with high accuracy and low hallucination rates.

2. Predictive Modeling & Optimization (Supply Chain)

• Forecasting Engines: Develop time-series forecasting models to predict spend categories and material demand by correlating internal ERP data with external macroeconomic signals.
• Classification & Risk Scoring: Build machine learning classifiers to categorize supplier risks and operational anomalies, integrating data from diverse sources to create dynamic risk scores.
• Data Extraction Pipelines: Design robust pipelines to extract and transform raw data (from Data Lakehouse, external web sources, or SAP and other databases) into features required for predictive modeling and automated rule checking. Liaise with Data Engineers on

3. System Integration & Performance

• Model Orchestration: Work with Back End Engineers to integrate AI models into a cohesive "compliance engine" or "risk engine" that can be invoked programmatically via robust APIs.
• Optimization: Streamline model performance to ensure complex checks (e.g., analyzing large datasets or processing thousands of supplier records) can be executed within reasonable timeframes, potentially using batching or asynchronous processing.
• Quality Assurance: Validate model outputs against known test cases and historical data, debugging false positives/negatives to refine algorithms and ensure "defense-grade" reliability.

Technical Requirements

• Core AI/ML: Expert proficiency in Python and standard ML libraries (TensorFlow/PyTorch, Scikit-learn, Pandas, NumPy). Strong grasp of both supervised and unsupervised learning techniques.
• NLP & LLMs: Deep experience with transformer-based models (GPT, BERT, Llama) and prompt engineering techniques (few-shot learning, fine-tuning) for domain-specific tasks.
• Data Engineering: Proficiency in handling complex data structures (JSON, XML) and familiarity with database querying (SQL/NoSQL) or graph data structures. Experience with data extraction from specialized formats is a significant plus.
• Backend Awareness: Understanding of how to expose models via RESTful APIs (Flask/FastAPI) and integrate them into larger software architectures.
• Statistics: Solid understanding of statistics, probability distribution, A/B testing. Adept at identifying and mitigating biases in datasets.

Professional Qualifications

• Experience: Minimum 5+ years of experience in Data Science, with a proven track record of deploying models into production environments.
• Domain Adaptability: Ability to quickly grasp complex domain terminology (e.g., construction regulations, defense standards, supply chain taxonomies) and translate them into logic.
• Structured Delivery: Experience working in structured delivery models (Agile/Sprint-based) while adhering to rigorous validation and verification standards
• Collaboration: Strong communication skills to work effectively with Domain Experts, Backend Engineers, and Product Managers to align model outputs with real-world business logic.

Salary:

AED 15,000 to 20,000 per month inclusive of fixed allowances.

About the Company

Welcome to Exclusive Talent Human Resource Consultancies Co., a leading Human Resource Agency based in the heart of Dubai. Specializing in staffing solutions across the Middle East, our agency excels in providing flexible temporary to permanent placement options tailored to diverse organizational needs.

Covering major markets including Saudi Arabia, Qatar, and the UAE, Exclusive Talent offers a broad network of highly skilled professionals across various industries. Utilizing advanced AI technology, our agency efficiently matches candidates with the precise skills and qualifications required for each role.

With expertise in recruiting at all levels—from entry-level positions to mid-management and C-suite roles—Exclusive Talent delivers comprehensive staffing solutions that support both immediate and long-term business objectives. Whether for temporary, hybrid, or permanent staffing needs, our agency ensures that the right talent is available to meet evolving demands and drive success.