Commercial Graduate Scheme, Junior Data Scientist

Cobblestone Group; Dubai; On-site; AED 215,000 - 263,000; Full time

Benefits offered by this job

Visa sponsorship

Relocation assistance

Employee Share Scheme

Equity participation

Competitive compensation

Job summary

Cobblestone Energy in Dubai is looking for a Junior Data Scientist to join our Analytics team. You will build and validate models, work with market data, and deploy insights to trading decisions.

We value strong Python and R skills, experience with Pandas/NumPy, and ability to integrate LLMs into data pipelines. Visa sponsorship and relocation assistance provided, plus performance-based equity options.

Qualifications

• Bachelor's or Master's in CS, Math, Statistics, or related field.
• Strong proficiency in Python and R.
• Experience with Pandas, NumPy, and SQL.
• Knowledge of data visualization tools such as Matplotlib and Seaborn.
• Experience programmatically integrating LLMs into data pipelines.

Responsibilities

• Data preparation: collect, clean, and structure large datasets from market, fundamental, and operational sources.
• Forecasting & modeling: develop and validate predictive models 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 and automate data cleaning pipelines.
• Stay current with evolving AI landscape and propose new applications for trading data.
• Collaboration: partner with traders, risk managers, and software engineers to integrate insights into real-time decisions.

Skills

Python

R

Pandas

NumPy

SQL

Matplotlib

Seaborn

LLMs integration

Agents

English proficiency

Data analysis

Education

Bachelor's or Master's in CS/Math/Stats

Job description

Job Location

Dubai, UAE (We provide visa sponsorship & relocation assistance).

Salary

USD 65,000 per annum + performance based bonus - 0% tax environment.

Employee Share Scheme

Opportunity to join Cobblestone Employee Share Scheme.

Public Holidays

As declared by UAE Government annually (8 to 14 days).

Probation Period

3 to 6 Months (as per UAE Labour Law).

Residency Visa Sponsorship

Provided by the Company.

Relocation Support

Available for candidates relocating to Dubai.

End of Service Gratuity

As per UAE 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.

Cobblestone Values

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

What we offer in this role

• A full-time position on our Commercial team
• Committed and remarkably talented colleagues.
• Highly competitive compensation dependent on performance
• An exciting, challenging and fulfilling career.
• Investment in your development to ensure that you always remain the best in business.
• 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
• 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