Junior Data Scientist

Responsibilities

• Collect, clean, and structure large datasets from market, fundamental, and operational sources
• Develop and validate predictive models for wind generation and demand to support trading strategies
• Prototype, back-test, and refine data-driven trading ideas in collaboration with analytics teams
• Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows
• Utilize LLMs and agentic frameworks to accelerate exploratory data analysis and automate data cleaning
• Stay current with evolving AI landscapes, including RAG, Agents, and Multimodal models
• Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making

Requirements

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
• Strong proficiency in Python and R
• Experience with data analysis and manipulation tools including Pandas, NumPy, and SQL
• Experience programmatically integrating LLMs via APIs or LangChain into data pipelines
• Proven ability to build custom AI Agents or automated workflows to interpret unstructured data
• Fluency in English, both written and spoken
• A proactive and flexible work mentality with an interest in data-driven trading

Preferred Qualifications

• Proven track record of excellence in quantitative or analytical roles
• Experience working with time-series data or machine learning libraries
• Experience with cloud-based data platforms
• Demonstrated ability to innovate and drive end-to-end solutions

Benefits

• Competitive salary of USD 65,000 per annum plus performance-based bonus
• 0% tax environment in Dubai
• Residency visa sponsorship and relocation assistance provided
• Opportunity to join the Cobblestone Employee Share Scheme
• Comprehensive private health insurance (IPD, OPD, and Dental)
• 30 calendar days of annual leave plus UAE public holidays

About the Company

Cobblestone Energy is an energy trading company specializing in European Gas, Power, and Emissions markets. Established in 2018, we combine deep analytics, advanced data science, and agile technology to drive profitable trading decisions. We operate with a flat organizational structure that empowers team members with autonomy and ownership.