JUNIOR DATA SCIENTIST - Dubai, UAE

Cobblestone Energy; Dubai; On-site; USD 65,000 - 75,000; Full time

Job summary

Cobblestone Energy recherche un Junior Data Scientist à Dubaï pour rejoindre son équipe commerciale. Le candidat idéal possédera un diplôme en informatique ou équivalent et une solide maîtrise de Python et R. Les responsabilités incluront la préparation des données, le développement de modèles prédictifs et la collaboration avec divers acteurs du secteur. Nous offrons un environnement de travail stimulant, une rémunération compétitive et des avantages tels que la prise en charge des visas et l'assistance au déménagement.

Benefits

Visa sponsorship

Relocation assistance

Competitive compensation

Equity participation

Qualifications

• Expérience en analyse de données et outils de manipulation.
• Expérience en travail d'équipe et styles de travail innovants.
• Flexibilité et mentalité proactive.

Responsibilities

• Collecte, nettoyage et structure de grandes données.
• Développement de modèles prédictifs pour aider les stratégies de trading.
• Collaboration avec des traders et ingénieurs pour intégrer des insights.

Skills

Python

R

Data Analysis

Data Visualization

Education

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

Tools

Pandas

NumPy

SQL

Matplotlib

Seaborn

Job description

Starting salary of USD 65,000per annum + performance based bonus - 0% tax environment

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas and Power markets. Established in 2017, we combine deep analytics, advanced data science, and agile technology to drive profitable trading decisions and support the transition to renewables. Our flat organisational structure empowers every team member with autonomy and ownership, and our diverse, global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Lifelong learning with continuous reflection
• Independent thinking through a meritocracy of ideas
• The team is more important than the individual.
• Being the best in any market we enter
• Hiring and keeping only the most effective people
• Others must benefit from our existence.

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
• 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 that demonstrates your team-oriented, innovative, and strategic working styles.
• 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

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

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