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Cobblestone Energy DMCC
Role overview
Cobblestone Energy DMCC is looking for a talented and analytical Junior Data Scientist to join its growing team in Dubai. This is an exciting opportunity for graduates and early-career professionals who want to build a career at the intersection of data science, artificial intelligence, quantitative analysis and energy trading. Cobblestone Energy specialises in European power, gas and emissions trading, using advanced analytics, technology and data-driven decision-making to compete in global energy markets.
As a Junior Data Scientist, you will work alongside experienced data scientists, quantitative analysts, traders and software engineers to develop analytical models that support real-time trading decisions. You will analyse large datasets, identify meaningful market patterns and build predictive models that improve forecasting accuracy across European electricity and gas markets.
Your daily responsibilities will include collecting, cleaning and validating structured and unstructured datasets from multiple sources. You will perform statistical analysis, develop machine learning models, create data visualisations and produce reports that help traders understand changing market conditions. Working with large volumes of market, weather and energy production data will form an important part of your role.
You will assist in designing algorithms capable of identifying trends, detecting anomalies and generating forecasts that support profitable trading strategies. This role offers excellent exposure to practical applications of artificial intelligence, predictive analytics and quantitative modelling within one of the world's most dynamic industries.
Candidates should have a strong academic background in Data Science, Computer Science, Mathematics, Statistics, Physics, Engineering or a related quantitative discipline. Strong programming skills in Python are essential, while experience with SQL, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch or similar data science libraries will be considered a significant advantage.
Knowledge of probability, statistics, machine learning, optimisation techniques and data visualisation tools such as Power BI, Tableau or Matplotlib will help candidates succeed in this role. Experience working with cloud platforms or large-scale data processing frameworks is also beneficial but not essential.
The successful candidate will collaborate with multiple departments, including software engineering, quantitative research and trading teams. You will participate in research projects, model validation, feature engineering and continuous improvement initiatives aimed at increasing forecasting accuracy and trading performance.
Strong analytical thinking, curiosity and problem-solving ability are highly valued at Cobblestone Energy. The company encourages employees to challenge existing ideas, experiment with innovative approaches and continuously improve their technical expertise. Team members work in a merit-based environment where ownership, learning and collaboration are part of everyday work.
This role requires excellent communication skills because you will regularly explain technical findings to colleagues from both technical and commercial backgrounds. The ability to present complex analytical results in a simple and meaningful way will contribute significantly to your success.
Cobblestone Energy offers a highly competitive compensation package, ongoing technical training, mentorship from experienced professionals, performance-based rewards and significant opportunities for career progression. Graduate and junior employees also benefit from structured learning programmes designed to accelerate technical and commercial development within the energy trading industry.
High-performing Junior Data Scientists can progress into positions such as Data Scientist, Senior Data Scientist, Quantitative Analyst, Machine Learning Engineer, AI Engineer, Trading Analyst or Research Scientist. Employees gain exposure to cutting-edge technologies while working on projects that directly influence commercial trading decisions in international energy markets.
If you are passionate about mathematics, programming, machine learning and solving complex real-world problems using data, this is an excellent opportunity to launch your career with one of Dubai's leading technology-driven energy trading companies. Cobblestone Energy values ambitious individuals who enjoy continuous learning, independent thinking and delivering measurable business impact.
Compensation range
AED 3,000 – 3,500
Employment type
Full-Time
Experience level
Entry level
Education
High school
Industry
Accounting & Auditing
Application deadline
Jul 31, 2026