Commercial Graduate Scheme, Junior Data Scientist - Dubai, UAE

• Equity participation for strong contributors, ensuring our interests are all aligned long term.

Key Responsibilities:

• Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources

• Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies

• Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions

• Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows

• AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.

• Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.

• Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making

• Documentation: Maintain clear records of methodologies, data definitions, and model specifications

• Culture: Champion our values through proactive communication and teamwork

Your background:

• Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, or a related field

• Strong proficiency in programming languages such as Python and R

• Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL

• Knowledge of data visualization tools such as Matplotlib and Seaborn

• Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.

• Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems.

• Pro-active and flexible work mentality

• Interest in data-driven trading

• Fluency in English, both written and spoken.

Preferred Background:

• Proven track record of excellence, academic or professional, in quantitative or analytical roles

• Experience working with time-series data, machine learning libraries, or cloud-based data platforms

• Demonstrated ability to innovate and drive end-to-end solutions

The Hiring Process

• Application Review

• Online Assessments: Psychometric and logical reasoning tests

• Case Study: Research-oriented project to showcase your analytical approach

• Remote Interviews: Three rounds with members of our Analytics and Trading teams

• Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Data Scientist

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

Important Note: This role is advertised globally; however, the job location is as specified in the job description.

• Graduate and Early Careers

Source: Cobblestone Energy careers page