Cobblestone Energy — an analytically driven energy trading company specialising in European Gas, Power, and Emissions markets, established in 2018 — is seeking an exceptional Junior Data Scientist to join its Commercial team in Dubai through its flagship Commercial Development Program. Offering a USD $65,000 annual salary plus performance bonus in a 0% tax environment, 30 calendar days leave, comprehensive private health insurance, visa sponsorship, relocation support, and an Employee Share Scheme — this is one of the most compelling data science graduate packages available in Dubai in 2026.
About Cobblestone Energy — Trading Excellence Since 2018
Specialisation: European Gas, Power, and Emissions markets — combining deep analytics, advanced data science, and agile technology
Culture: Flat organisational structure with autonomy, ownership, meritocracy of ideas, and a relentless pursuit of excellence
Compensation: USD $65,000 + performance bonus + Employee Share Scheme — 0% tax environment in Dubai
Benefits: Visa sponsorship, relocation assistance, 30 days annual leave, comprehensive private health insurance, end of service gratuity
Why This Junior Data Scientist Role Stands Out
Exceptional Package: $65K USD + bonus + share scheme + visa + relocation + 30 days leave — tax-free in Dubai for a graduate-level data science role
AI-Accelerated Trading: Use LLMs, agentic frameworks, RAG, and multimodal AI to accelerate EDA, automate pipelines, and generate synthetic data
Real Trading Impact: Partner with traders and risk managers to integrate ML insights directly into live energy trading decisions
Career Programme: Enter via the Commercial Development Program then step directly into the Junior Data Scientist role — with equity participation for strong contributors
Position Overview
This Junior Data Scientist on Cobblestone Energy’s Commercial team in Dubai collects, cleans, and structures large datasets from market, fundamental, and operational sources, develops and validates predictive models for wind generation and demand forecasting to support trading strategies, prototypes and back-tests data-driven trading ideas, builds and maintains data pipelines and automated tooling, uses LLMs and agentic frameworks to accelerate exploratory data analysis and automate data cleaning pipelines, stays current with RAG, Agents, and Multimodal AI developments, partners with traders and risk managers to integrate insights into real-time decision-making, and maintains clear documentation of methodologies, data definitions, and model specifications.
Why This Role Matters: As Junior Data Scientist at Cobblestone Energy in Dubai, you sit at the intersection of advanced data science, artificial intelligence, and real-money energy trading — building the forecasting models, data pipelines, and AI-accelerated analytics workflows that drive profitable trading decisions in European Gas, Power, and Emissions markets. With a $65,000 USD salary, performance bonus, share scheme, and zero income tax in Dubai, this role delivers rare financial upside alongside genuine intellectual challenge and career growth.
Key Responsibilities
Data Preparation, Forecasting & Strategy Research
- Collect, clean, and structure large datasets from market, fundamental, and operational energy trading data sources
- Develop and validate predictive models — wind generation forecasting, demand forecasting — to support live trading strategies
- Prototype, back-test, and refine data-driven trading ideas — collaborating with analytics and development teams to productionise solutions
AI-Accelerated Workflows & LLM Integration
- Use LLMs and agentic frameworks to accelerate exploratory data analysis, automate data cleaning pipelines, and generate synthetic data for model robustification
- Build custom AI Agents and automated workflows that interpret unstructured data or reason through multi-step trading data problems
- Programmatically integrate LLMs via APIs, LangChain, or Python scripts into data pipelines beyond basic chat interface usage
- Stay current with the rapidly evolving AI landscape — RAG, Agents, Multimodal models — and proactively propose new applications to trading data
Infrastructure, Collaboration & Documentation
- Build and maintain data pipelines, dashboards, and automated tooling to streamline analytical workflows
- Partner with traders, risk managers, and software engineers to integrate data insights into real-time trading decision-making
- Maintain clear records of methodologies, data definitions, and model specifications throughout all project work
Required Background & Qualifications
Essential Requirements
- Bachelor’s or Master’s Degree in Computer Science, Mathematics, Statistics, or a related quantitative field
- Strong proficiency in Python and R for data science and analytics
- Experience with Pandas, NumPy, and SQL for data analysis and manipulation
- Knowledge of data visualisation tools — Matplotlib, Seaborn, or equivalent
- Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines
- Proven ability to build custom Agents or automated workflows for unstructured data or multi-step reasoning
- Proactive and flexible work mentality with genuine interest in data-driven trading
- Fluency in English, both written and spoken
Preferred Background
- Proven academic or professional track record in quantitative or analytical roles
- Experience with time-series data, machine learning libraries, or cloud-based data platforms
- Demonstrated ability to innovate and drive end-to-end analytical solutions
About Cobblestone Energy — Where Data Wins
Cobblestone Energy is an energy trading company established in 2018, specialising in European Gas, Power, and Emissions markets. Combining deep analytics, advanced data science, and agile technology with a flat organisational structure that empowers every team member with autonomy and ownership, Cobblestone’s diverse global team of extraordinary talent is united by a relentless pursuit of excellence. Offering one of the most complete and competitive junior data science packages in Dubai — $65K USD, tax-free, with share scheme, visa sponsorship, 30 days leave, private health insurance, and relocation support — this is a landmark opportunity for analytically outstanding graduates ready to build careers at the intersection of data science and live energy trading.
Career Excellence: Build AI-powered predictive models that drive live energy trading decisions at Cobblestone Energy — $65K USD, tax-free, in Dubai.
Who Should Apply?
- Quantitative Graduates & Early-Career Data Scientists: With strong Python, R, Pandas, SQL, and ML foundations seeking their first major career break in energy trading
- LLM & Agentic AI Engineers: With production experience integrating LLMs via APIs, LangChain, or Python into real data pipelines beyond conversational use
- Energy & Trading Data Enthusiasts: With genuine interest in European Gas, Power, and Emissions markets and data-driven trading strategies
- Time-Series & Forecasting Specialists: With wind generation, demand forecasting, or financial time-series modelling experience
- Dubai Relocation-Ready Professionals: Supported by full visa sponsorship and relocation assistance — ready to build a career in one of the world’s top financial cities
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