Data Scientist - Dubai, UAE
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Key skills for this role
About the Role
Cobblestone Energy is hiring a Data Scientist to join their commercial team in Dubai. The role involves analyzing large datasets, developing predictive models, and implementing AI/LLM solutions to drive trading decisions.
Key Skills for This Role
Responsibilities
- Analyse 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
- Applied AI Proficiency: Demonstrated practical experience programmatically integrating LLMs (via APIs or frameworks like LangChain/LlamaIndex) into data pipelines or analytical applications
- Automation Focus: 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
Full Job Posting
About Cobblestone Energy
- 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.
Role Description
- We are seeking a highly motivated and talented Data Scientist to join our dynamic team.
- 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.
Key Responsibilities
- Analyse 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.
- Applied AI Proficiency: Demonstrated practical experience programmatically integrating LLMs (via APIs or frameworks like LangChain/LlamaIndex) into data pipelines or analytical applications.
- Automation Focus: 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.
What we offer in this role
- A full time, high impact position within our dynamic Commercial team.
- A team of exceptional colleagues, committed to continuous learning and pushing the boundaries of what's possible.
- A career that challenges you to solve complex problems and rewards your drive for continuous innovation.
- A unique opportunity to work on impactful projects, making independent decisions that drive real world outcomes.
- The chance to take full ownership of new projects, making high impact decisions in a dynamic environment.
- Equity participation, ensuring long term alignment.
Compensation & Benefits
- Annual Base Salary: range of $80,000 $110,000 per annum + performance based bonus 0% tax environment + opportunity to join our employee share scheme.
- Annual Leave: 30 Calendar Days.
- Public Holidays: As declared by UAE Government annually (8 to 14 days).
- Working Days: Monday – Friday.
- Probation Period: 3 to 6 Months (As per UAE Labour Law).
- Health Insurance: Comprehensive Private Health Insurance (IPD, OPD & Dental).
- Residency Visa Sponsorship: Provided by the Company.
- Relocation Support: Available for candidates relocating to Dubai.
- End of Service Gratuity: As per UAE Labour Law.
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