DATA SCIENTIST - Dubai, UAE at Cobblestone Energy - Dubai, UAE.

Dubai, Dubai, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

12 Apr, 26

Salary

110000.0

Posted On

12 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Data Science, Predictive Modelling, Python, SQL, AI, LLM, Automation, Data Workflows, Machine Learning, Data Visualization, Collaboration, Problem-Solving, Critical Thinking, Analytics, Feature Generation, Communication

Industry

Oil and Gas

Description

Employment Type: Full-time & Permanent Location: Dubai, UAE (Visa sponsorship and relocation assistance provided) Annual Base Salary range of $80,000 - $110,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme About Cobblestone Energy Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2017, 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. Cobblestone Values Lifelong learning with continuous reflection Independent thinking through a meritocracy of ideas The team is more important than the individual. Relentless pursuit of excellence Hiring and keeping only the most effective people Others must benefit from our existence. Role Description: 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. 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 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 This is an outstanding opportunity for a driven and talented Data Scientist to join an innovative trading company and make a significant impact on our business operations. If you possess a passion for data science and a proven track record of success, we encourage you to apply. Note: Experience in the power trading domain is highly desirable but not essential. We value exceptional talent and the ability to learn quickly.

Responsibilities

The Data Scientist will analyze large datasets to generate actionable insights for trading decisions and develop predictive models for market forecasting. They will also collaborate with traders to translate business problems into data-driven solutions.