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About the Role

We are seeking a highly motivated and talented Data Scientist to join our dynamic team. With a passion for data-driven solutions and a strong academic background, the successful candidate will play a critical role in shaping business decisions and driving operational excellence through advanced analytics, predictive modelling, and the strategic implementation of Generative AI/LLM technologies.

Responsibilities

• Analyze large, complex datasets to generate actionable insights that inform trading and commercial decisions.
• Develop, deploy, and maintain predictive models to support market forecasting and trading strategy optimisation (e.g., time-series models, regression, tree-based methods).
• Architect and implement production-ready AI/LLM solutions, such as Retrieval-Augmented Generation (RAG) pipelines or task-specific agents, integrated programmatically into analytical workflows (e.g., via APIs, LangChain, LlamaIndex).
• Build, automate, and own end-to-end data workflows covering data ingestion, cleaning, feature generation, and model training, leveraging tools such as Python, SQL, Airflow, pandas, and workflow orchestration platforms (e.g., n8n or similar).
• Apply advanced data science techniques, including synthetic data generation where appropriate, to improve model robustness, scalability, and operational efficiency.
• Collaborate closely with traders and cross-functional stakeholders to translate business problems into high-quality, data-driven solutions.
• Communicate insights and model outputs clearly and concisely, ensuring analytical work drives measurable trading and commercial impact.

Requirements

• 2-3 years of experience in data science or a related field, with a demonstrated record of achieving exceptional results.
• Strong academic background in computer science, mathematics, statistics, or a related field.
• Outstanding problem-solving and critical thinking skills, capable of addressing complex, high-impact challenges.
• Expertise in Python programming, with an ability to apply it to advanced data science problems.
• Demonstrated practical experience programmatically integrating LLMs (via APIs or frameworks like LangChain/LlamaIndex) into data pipelines or analytical applications.
• Proven ability to design and implement automated, end-to-end data workflows that leverage AI for efficiency gains.
• Knowledge of machine learning algorithms and data visualization tools.
• Exceptional communication and collaboration skills, with a demonstrated ability to excel in fast-paced, cross-functional environments.
• Experience in the power trading domain is highly desirable but not essential.

Skills

• Python
• SQL
• Airflow
• pandas
• LangChain
• LlamaIndex
• Generative AI/LLM technologies
• Time-series models
• Regression
• Tree-based methods
• Retrieval-Augmented Generation (RAG)
• Data ingestion
• Data cleaning
• Feature generation
• Model training
• Machine learning algorithms
• Data visualization

Location

• Dubai, UAE

Work Type

• Full-time
• Permanent

Experience Level

• 2-3 years

Education Level

• Computer science
• Mathematics
• Statistics

Salary/Compensations

• $80,000 - $110,000 per annum + performance-based bonus
• 0% tax environment
• Opportunity to join employee share scheme

Benefits

• 30 Calendar Days Annual Leave
• 8 to 14 Public Holidays annually
• Comprehensive Private Health Insurance (IPD, OPD & Dental)
• Residency Visa Sponsorship
• Relocation Support
• End of Service Gratuity (As per UAE Labour Law)
• Equity participation

About the Company

• Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets.
• Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions.
• Our flat organisational structure empowers every team member with autonomy and ownership.
• Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.