Data Scientist Large Language Models Specialist

Role & responsibilities

1. Data Management & Pre-processing

• Collect, clean, and pre-process large datasets from diverse sources, ensuring high data quality.
• Analyse unstructured and structured data to derive actionable insights.

2. Predictive Modelling & Machine Learning

• Develop and implement predictive models tailored to business objectives.
• Integrate machine-learning techniques with LLMs to enhance model performance.

3. Specialization in Large Language Models (LLMs)

• Fine-tune and customize LLMs (e.g., GPT, Google Gemini) for specific business needs.
• Develop prompt engineering strategies to improve model responses and outcomes.
• Collaborate with engineering teams to integrate LLMs into existing systems and workflows.
• Explore opportunities to enhance hospitality-specific use cases through advanced natural language processing (NLP) techniques.

4. Data Analysis & Insights

• Perform deep analysis to uncover trends, patterns, and key insights.
• Create forecasting tools to predict customer behaviour, operational metrics, and future trends.

5. Collaboration & Communication

• Work closely with cross-functional teams to understand business challenges and provide AI-driven solutions.
• Communicate findings through clear, impactful reports, dashboards, and presentations.

6. Innovation & Continuous Learning

• Stay updated with the latest advancements in LLMs, AI, and machine learning.
• Pilot and recommend new tools, algorithms, and frameworks to improve data science initiatives.

Preferred candidate profile

• Master in Computer Science, Data Science, Artificial Intelligence, or related field.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for model deployment.