Data Scientist - Phuket, Thailand

Employment Type: Full-time & Permanent 

Work Eligibility: Only Thai nationals and independent work permit holders. (Foreigners work permit sponsorship is not available for this role).

Location: Dubai, UAE (Initial), Phuket, Thailand (from November 2026) relocation assistance provided for both locations if needed. 

 

Monthly Base Salary: range of THB 158,000 to THB 265,000 per month + performance-based bonus + opportunity to join our employee share scheme.

Paid Annual Leave: 15 Working Days.

Public Holidays: 15 Days.

Working Days: Monday – Friday.

Probation Period: Up to 119 Days (Based on Performance).

Social Security: As per Thai Labour Law.

Health Insurance: Comprehensive Private Health Insurance (IPD, OPD & Dental).

Relocation Support: Available for candidates relocating to Phuket.

Severance Pay: As per Thai Labour Law.

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. 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. 

The Phuket Roadmap 

This role offers a unique global career path. To ensure seamless integration into our culture and trading strategies, the successful candidate will begin their journey at our Dubai headquarters. In November 2026, the role will transition permanently to our upcoming hub in Phuket, Thailand, offering a blend of high-impact work and an exceptional lifestyle. 

Cobblestone Values 

• Excellence in Hiring & Teamwork 
• Lifelong Learning Through Continuous Reflection 
• Independent Thinking Through a Meritocracy of Ideas 
• Winning 

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. 

 

Learn more about Cobblestone Energy careers:
https://cobblestoneenergy.com/careers/

Why work with us:
https://cobblestoneenergy.com/why-work-with-us/

Recruitment process:
https://cobblestoneenergy.com/careers/vacancies/#process