About the Role

We are looking for a passionate and curious Data Scientist to join our growing Data & AI team at Tarmeez Capital . As a fresh graduate, you will work on real-world problems involving large language models (LLMs), predictive analytics, and classical data science & machine learning techniques. You will help build data-driven products that power business impacting insights, automation, and intelligent decision-making across our organization.

Key Responsibility 

• Saudi National
• Collaborate with data engineers, analysts, and product teams to identify opportunities for data-driven impact.
• Apply statistical analysis, machine learning, and natural language processing to real business problems.
• Assist in fine-tuning and evaluating LLMs for use cases such as document understanding, classification, and financial analysis.

• Conduct exploratory data analysis (EDA), feature engineering, and model experimentation.
• Build and validate predictive models using classical algorithms (e.g., regression, clustering, tree-based models).
• Visualize findings and communicate actionable insights to non-technical stakeholders.
• Help deploy models and data services into production, and monitor their performance over time.
• Stay updated with the latest developments in AI, ML, and generative models, and propose innovative ways to apply them.

Requirements 

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field.
  
• Strong knowledge of Python and common data science libraries like (pandas, numpy, etc..).
  
• Familiarity with LLMs and NLP frameworks (e.g., Hugging Face Transformers, LangChain, OpenAI API, Cohere, Gemini, etc.).
  
• Basic understanding of machine learning concepts (classification, regression, clustering, evaluation metrics).
  
• Experience with SQL and data manipulation techniques.
  
• Exposure to data visualization tools such as Metabase, Power BI, or Tableau.
  
• Good understanding of statistics, probability, and data analysis techniques.
  
• Curiosity, problem-solving mindset, and willingness to learn new tools quickly.

Preferred Skills

•  Knowledge of LLM fine-tuning or prompt engineering.
  
• Familiarity with Snowflake, Databricks, or any data warehouse .
  
• Basic experience with cloud platforms (GCP, AWS, or Azure).
  
• Understanding MLOps, Git, and version control.
  
• Coursework or projects in AI, deep learning, or data visualization.

Exceptions

All of the above can be ignored if you can demonstrate a proven record of exceptional work, through a GitHub portfolio, research, or deployed projects.