Commercial Graduate Scheme, Junior Data Scientist - Dubai, UAE

Cobblestone Energy
Dubai
Workplace: OnsiteFull timeUSD 65,000+ annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Pro-active","Flexible","Teamwork","Proactive communication"]

Develop and validate predictive models to support energy trading strategies, including forecasting for generation and demand. Prepare and structure large datasets from market, fundamental, and operational sources, build data pipelines and dashboards, and apply LLMs and agentic workflows to accelerate exploratory analysis and automate data cleaning. Collaborate with traders, risk managers, and software engineers, document methodologies, and stay current with emerging AI approaches for trading data.

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FursaFursa
Cobblestone Energy
Cobblestone Energy
3 months ago

Commercial Graduate Scheme, Junior Data Scientist - Dubai, UAE

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Develop and validate predictive models to support energy trading strategies, including forecasting for generation and demand. Prepare and structure large datasets from market, fundamental, and operational sources, build data pipelines and dashboards, and apply LLMs and agentic workflows to accelerate exploratory analysis and automate data cleaning. Collaborate with traders, risk managers, and software engineers, document methodologies, and stay current with emerging AI approaches for trading data.
Location: Dubai
Workplace: Onsite
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Collect, clean, and structure large datasets from market, fundamental, and operational sources.
  • •Develop and validate predictive models (e.g., wind generation, demand) to support trading strategies.
  • •Prototype, back-test, and refine data-driven trading ideas, collaborating to productionise solutions.
  • •Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows.
  • •Utilize LLMs and agentic frameworks to accelerate EDA, automate data cleaning pipelines, generate synthetic data, and integrate insights into real-time decision-making.

Pay and Benefits

Salary: USD 65,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceEquityAnnual LeaveVisa SponsorshipRelocation

Key Requirements

  • •Bachelor’s or master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • •Strong proficiency in Python and R.
  • •Experience with data analysis and manipulation using 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, plus ability to build custom agents/workflows.
Experience:Energy tradingQuantitative analyticsTime-series dataMachine learningData visualization
Education:Master's in Computer Science, Mathematics, Statistics (or related field)
Skills:Pro-activeFlexibleTeamworkProactive communication
Languages:English
Tech Stack:PythonRPandasNumPySQLMatplotlibSeabornLLMsAPIsLangChainData pipelinesDashboardsRAGAgentsMultimodal modelsSynthetic dataEDA

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Cobblestone Energy
An energy trading and optimization company focused on physical and financial power and gas markets. It develops trading strategies, market analytics, and infrastructure to manage risk and capture opportunities across European energy markets.
Industry: Energy Services
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Headquarters: Dubai, United Arab Emirates
Founded: 2017
WebsiteLinkedIn