Commercial Graduate Scheme, Junior Data Scientist
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Before you apply
Salary$65k
LocationDubai, UAE
Work modeon-site
Typefull-time
SeniorityEntry
DepartmentGraduate and Early Careers
EquityIncluded
Company size2+ people
PostedJun 12, 2026 · 4mo ago
Verified live3d ago
May no longer be actively hiring
Posted by the company on Jun 12, 2026100% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Python
R
Pandas
NumPy
SQL
Matplotlib
Seaborn
LLMs
LangChain
machine learning
cloud-based data platforms
Benefits
Health insurance
Visa sponsorship
Relocation assistance
Performance bonus
Share scheme
Annual leave
Benefits
Employment Type: Full-time & Permanent.
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.
Annual Leave: 30 Calendar Days.
Public Holidays: As declared by UAE Government annually (8 to 14 days).
Probation Period: 3 to 6 Months (as per UAE Labour Law).
Health Insurance: Comprehensive Private Health Insurance (IPD, OPD & Dental).
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:
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Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources
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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.
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Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making
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Documentation: Maintain clear records of methodologies, data definitions, and model specifications
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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
1.
Application Review
2.
Online Assessments: Psychometric and logical reasoning tests
3.
Case Study: Research-oriented project to showcase your analytical approach
4.
Remote Interviews: Three rounds with members of our Analytics and Trading teams
5.
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