Data Scientist

We are looking for a talented and experienced Data Scientist to take part in developing

end to end data and AI solutions and drive impactful, production‑ready machine learning and generative AI initiatives across the organization.

Role & Responsibilities:

• Develop end to end data solutions based on Machine Learning, from research and data collection to production deployment
• Perform data exploration (EDA), feature engineering, descriptive statistics, and preliminary analyses
• Select algorithms, train and evaluate models using ML and Generative AI methodologies
• Fine‑tune Large Language Models (LLMs), work with embeddings, vector stores, and RAG pipelines
• Deploy models to production in collaboration with ML Engineering, DevOps, and development teams
• Monitor model performance and model drift, identify anomalies, and retrain models when needed
• Work closely with business stakeholders, presenting insights and model results clearly and effectively
• Lead initiatives to improve ML/AI processes and methodologies within the team and across the organization

Requirements:

• Bachelor’s degree or higher in Engineering, Computer Science, Mathematics, Statistics, or Data Science
• 2+ years of experience as a Data Scientist in an industry environment
• Strong proficiency in Python and leading machine learning libraries
• Strong SQL skills- mandatory
• Experience with end to end projects, including production deployment
• Hands‑on experience with Generative AI and LLM technologies- a significant advantage
• Ability to independently handle data sourcing, modeling, and analysis without reliance on analytics teams

Skills:

• Strong communication and presentation skills
• Experience working directly with business stakeholders
• High level of independence, ownership, and proactive problem solving