Data Science Specialist

Onsite – Abu Dhabi

Experience Required

Role Overview

Data Science Consultant

Key Responsibilities

• Lead the delivery of complex data science and analytics engagements, ensuring successful project execution and measurable business outcomes.
• Act as a bridge between business stakeholders and technical teams by translating business requirements into analytical and technical solutions.
• Design, develop, and deploy machine learning, statistical, and predictive models to solve business challenges.
• Build custom analytical frameworks and methodologies beyond standard reporting and analytics processes.
• Develop and optimize supervised and unsupervised machine learning models, classification systems, clustering algorithms, and forecasting solutions.
• Perform data exploration, feature engineering, data transformation, and model evaluation to improve solution performance.
• Design and implement NLP and LLM-powered solutions using modern AI frameworks and transformer-based architectures.
• Conduct quality assurance and validation of analytical outputs, ensuring data accuracy, reliability, and business relevance.
• Develop executive-level presentations, reports, and interactive dashboards using Power BI and other visualization tools.
• Present analytical findings, recommendations, and project outcomes directly to client stakeholders and leadership teams.
• Support proposal development, solution design, effort estimation, and resource planning for new business opportunities.
• Collaborate with cross-functional teams including Data Engineers, BI Developers, Architects, and Business Consultants.
• Contribute to continuous improvement initiatives, innovation programs, and the enhancement of Data & AI capabilities.
• Ensure adherence to information security policies, governance standards, and organizational compliance requirements.
• Maintain technical documentation, model documentation, and project deliverables throughout the engagement lifecycle.

Required Skills & Experience

• 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or AI Consulting roles.
• Strong expertise in Python and SQL for data analysis, modeling, and solution development.
• Hands-on experience with machine learning algorithms, statistical modeling, and predictive analytics.
• Strong knowledge of supervised and unsupervised learning techniques and model evaluation methodologies.
• Experience with data preparation, feature engineering, data transformation, and exploratory data analysis.
• Proficiency in Python data science libraries including Pandas, NumPy, SciPy, Scikit-learn, and related frameworks.
• Experience with NLP libraries such as spaCy, NLTK, Hugging Face Transformers, or similar tools.
• Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and GenAI solution development.
• Experience building dashboards and visualizations using Power BI or similar BI platforms.
• Strong understanding of databases, APIs, Git version control, and software engineering best practices.
• Excellent problem-solving, analytical thinking, and stakeholder management skills.
• Strong communication and presentation skills with the ability to explain technical concepts to business audiences.
• Experience working in Agile delivery environments.

Desirable Skills

• Experience in strategy consulting, growth analytics, marketing analytics, or business transformation initiatives.
• Exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
• Knowledge of MLOps practices, model deployment, monitoring, and lifecycle management.
• Experience with FastAPI, REST APIs, and AI application development.
• Familiarity with Azure DevOps and CI/CD pipelines.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of cloud-based AI/NLP services including OpenAI, Azure OpenAI, Google Gemini, Amazon Comprehend, IBM Watson NLP, or similar platforms.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Exposure to data governance, data quality, and metadata management frameworks.
• Due diligence, transaction advisory, or consulting experience will be an added advantage.

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related field.