https://bayt.page.link/msZSFSFMT7Gq8V9F7
Create a job alert for similar positions

Job Description

Employment Type: Full-time & Permanent


Location: Dubai, UAE (Visa sponsorship and relocation assistance provided) 


Annual Base Salary range of $80,000 - $110,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme


About Cobblestone Energy


Cobblestone Energy is an energy trading company specialising in the European Gas and Power markets. Established in 2017, we are shaping the future of global commodity trading with a focus on deep analytics and technological innovation. Our success is driven by our people, whom we back with real responsibility from the start. At Cobblestone Energy, excellence is valued and extraordinary talent from around the world is welcomed. Our flat organisational structure encourages a culture of innovation, granting team members autonomy and ownership of their work.


Cobblestone Values


  • Lifelong learning with continuous reflection
  • Independent thinking through a meritocracy of ideas
  • The team is more important than the individual.
  • Relentless pursuit of excellence
  • Hiring and keeping only the most effective people
  • Others must benefit from our existence.

Role Description:


We are seeking a highly motivated and talented Data Scientist to join our dynamic team. With a passion for data-driven solutions and a strong academic background, the successful candidate will play a critical role in shaping business decisions and driving operational excellence through advanced analytics and predictive modelling  


What we offer in this role 


  • A full-time, high-impact position within our dynamic Commercial team.
  • A team of exceptional colleagues, committed to continuous learning and pushing the boundaries of what’s possible.
  • A career that challenges you to solve complex problems and rewards your drive for continuous innovation.
  • A unique opportunity to work on impactful projects, making independent decisions that drive real-world outcomes.
  • The chance to take full ownership of new projects, making high-impact decisions in a dynamic environment.
  • Equity participation, ensuring long-term alignment

Key Responsibilities: 


  • Analyse large, complex datasets to generate actionable insights that drive critical business decisions
  • Design and implement predictive models to optimize trading strategies and enhance market forecasting precision.
  • Work closely with cross-functional teams to identify business needs and craft high-quality, data-driven solutions.
  • Continuously stay at the forefront of data science and machine learning advancements, applying cutting-edge techniques to enhance power trading strategies.
  • Deliver clear, concise, and actionable insights to stakeholders, ensuring that data-driven decisions are communicated effectively.

Requirements: 


  • 2-3 years of experience in data science or a related field, with a demonstrated record of achieving exceptional results.
  • Strong academic background in computer science, mathematics, statistics, or a related field 
  • Outstanding problem-solving and critical thinking skills, capable of addressing complex, high-impact challenges.
  • Expertise in Python programming, with an ability to apply it to advanced data science problems.
  • Knowledge of machine learning algorithms and data visualization tools 
  • Exceptional communication and collaboration skills, with a demonstrated ability to excel in fast-paced, cross-functional environments

This is an outstanding opportunity for a driven and talented Data Scientist to join an innovative trading company and make a significant impact on our business operations. If you possess a passion for data science and a proven track record of success, we encourage you to apply. 


Note: Experience in the power trading domain is highly desirable but not essential. We value exceptional talent and the ability to learn quickly


You have reached your limit of 15 Job Alerts. To create a new Job Alert, delete one of your existing Job Alerts first.
Similar jobs alert created successfully. You can manage alerts in settings.
Similar jobs alert disabled successfully. You can manage alerts in settings.