Junior Data Scientist Trading Analytics

JUNIOR DATA SCIENTIST – Dubai, UAE

Employment type:Full-time & Permanent

Starting salary of
USD 60,000
per 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.

• 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.

• 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.

• 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 product ionise 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

• 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, Num Py, 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
• 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