All job offers Data specialist

INSPIRE | EXHILARATE | DELIGHT At Chalhoub Group, we don’t just shape careers — we shape futures. For over seven decades, we have partnered with global luxury brands and built our own to create exceptional experiences across the Middle East. From fashion to beauty, art de vivre to jewellery, we continue to set new standards in luxury, driven by innovation, purpose, and people. Our transformation into a hybrid luxury retailer has enabled us to reach customers wherever they are — through 950+ stores, digital platforms, and mobile apps. At the heart of this journey lies The Greenhouse, our innovation powerhouse that supports breakthrough ideas and nurtures future-ready ventures across the region and beyond. With over 16,000 passionate professionals across 8 countries (and expanding into LATAM), Chalhoub Group is proud to be Great Place to Work® certified across several markets. Our culture is grounded in diversity, equity, and inclusion, built to empower people to thrive, lead, and make a difference. As a UN Global Compact member and signatory of the Women’s Empowerment Principles, we’re committed to achieving Net Zero by 2040 — because sustainability is not just a value; it’s a responsibility. About the Program The MADA National Graduate Programme (NGP) is your launchpad to an impactful career. Designed exclusively for UAE Nationals, this 18-month journey is built to empower, challenge, and shape you into a future leader. In Phase 1, you will explore the business through three tailored 3-month rotations, giving you multi-dimensional exposure and practical insights. In Phase 2, you’ll dive deeper into a final 9-month strategic assignment, gaining leadership experience, solving real-world challenges, and driving meaningful impact. You’ll be mentored, supported, and surrounded by people who believe in your potential — because we know the next generation of leaders is already among us. Focus Area: Data Engineering This track will immerse you in the critical domain of data management and engineering. Through rotations in Data Engineering, Data Products, and Data Integrity, you will develop expertise in designing, building, and maintaining robust data infrastructures and solutions. You will play a pivotal role in ensuring data quality, accessibility, and actionable insights that support strategic business decisions and innovation. What You’ll Need to Succeed • Academic background in IT, Information Security, or Data Engineering • Strong analytical and technical problem-solving skills • Knowledge of data architecture, pipelines, and governance • Attention to detail and commitment to data quality • Passion for leveraging data to drive business value and innovation Where It Leads Upon successful completion of the programme, you’ll be offered a permanent role at the next career level – the next phase of our Future Leader Journey. What We Offer At Chalhoub Group, your aspirations become reality. You’ll experience: • Enriching, real-world assignments • Leadership exposure and mentorship • Development opportunities tailored to your journey • Access to a competitive benefits package including healthcare, child education contributions, remote work flexibility, and exclusive employee discounts Empowering Emirati Talent At Chalhoub Group, we believe in the power of diverse perspectives and inclusive workplaces. We are proud to support the development of UAE National talent and are committed to empowering the next generation of leaders. This opportunity is exclusively open to UAE Nationals holding a family book, as part of our long-term vision to invest in the nation’s future and shape a thriving, homegrown leadership pipeline.

Key Responsibilities Business-Centric AI & Modeling Partner with internal stakeholders (Brand Marketing, Merchandising, CRM, and Business Strategy teams) to identify opportunities to apply ML, LLMs, and agent-based intelligence for high-value retail use cases. Design, develop, and deploy advanced Demand Forecasting, Markdown Optimization, and Price Elasticity models to optimize inventory and pricing strategy. Build and operationalize Customer Lifetime Value (CLTV), Churn Prediction, and RFM segmentation models for personalized marketing and retention strategy. Develop Market Basket Analysis, Cross-Sell/Recommender Systems, and Promotion Effectiveness frameworks using both classical ML and deep learning approaches. Create and maintain Agentic AI workflows for campaign orchestration, customer service automation, and marketing optimization (e.g., autonomous agents for A/B test selection or personalized product recommendations). Advanced AI & Generative Intelligence Fine-tune Small and Large Language Models (e.g., LLaMA, Mistral, GPT, Claude) for tasks such as customer sentiment analysis, product description enrichment, and insight summarization. Design retrieval-augmented generation (RAG) pipelines integrating structured and unstructured data (CRM, catalog, social, and web data). Experiment with Agentic AI frameworks (LangChain, CrewAI, AutoGen, OpenDevin, etc.) to build multi-agent systems that can autonomously gather insights, recommend actions, or run simulations. Apply multimodal models (text + image) for fashion tagging, trend analysis, and visual recommendation. MLOps, Engineering, and Deployment Partner with the Data Engineering and MLOps teams to productionize models at scale via CI/CD pipelines. Develop scalable APIs and deploy models into cloud environments (Azure, AWS, or GCP). Build robust monitoring frameworks for model drift, bias detection, and performance tracking. Contribute to development of internal AI/ML model registry and experimentation frameworks. Qualifications Core Data Science & ML 3-5 years of experience in applied data science, ideally within retail or e-commerce sectors. Expertise in supervised, unsupervised, and deep learning techniques (Regression, Random Forest, XGBoost, LightGBM, ARIMA, SARIMAX, GARCH, CNNs, RNNs, Transformers, etc.). Strong experience with time series forecasting, optimization modeling, and causal inference. Experience with feature engineering, model tuning, and validation at scale. LLM, SLM & Agentic AI Exposure Experience fine-tuning or prompt-engineering LLMs for enterprise tasks (e.g., summarization, insight generation, or dialogue systems). Familiarity with LangChain, LlamaIndex, or CrewAI for developing autonomous or semi-autonomous agents. Understanding of retrieval-augmented generation (RAG), vector databases (FAISS, Pinecone, Weaviate), and embedding models. Experience leveraging multimodal AI (vision + language) for product recommendations or catalog enrichment. Programming & Tools Advanced proficiency in Python, PySpark, and SQL. Experience with TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers, and LLM APIs. Exposure to any of the MLOps frameworks (MLflow, Kubeflow, Airflow, Vertex AI, SageMaker). Comfortable with distributed computing tools (Spark, Hadoop, Hive) and data lakes (Databricks, Delta Lake). Business & Communication Proven ability to translate complex data insights into business strategy. Experience collaborating with non-technical stakeholders in retail, marketing, and merchandising domains. Excellent written and verbal communication skills. Preferred Master's or PhD in Statistics, Computer Science, Applied Mathematics, or related field. Exposure to fashion retail analytics, customer behavior modeling, and omnichannel data systems. Familiarity with Web Analytics tools (Google Analytics, Adobe Analytics) and APIs (Google Maps, Geocoding, etc.). Why Join Us Shape the future of AI-led decisioning in one of the region's largest fashion retail conglomerates. Work on real-world generative and agentic AI projects beyond prototypes. Be part of a collaborative, innovative, and impact-driven Data Science & AI team.