DATA SCIENTIST - Dubai, UAE

Location: Dubai, UAE (We provide visa sponsorship & relocation
assistance)
Annual Base Salary range of $‎75,000 - $‎100,000 per annum + performance-
based bonus' - ‎0% tax environment.
About Cobblestone Energy
Cobblestone Energy is an energy trading company specialising in the Great
Britain and European wholesale electricity markets. Founded in ‎2017, we are
part of the next generation of companies defining the future of global
commodity trading.
We make use of advanced data analytics and extensive research to drive
profitable decision making, trading enough electricity every day to power a
small country, and growing every day. In doing so, we help to balance the
electricity grid, lowering the cost to end consumers, and aiding the
transition to a renewable future. Technology and risk management form the
backbone of our business.
At Cobblestone Energy, we are a diverse team of over ‎50 people from ‎20+
nationalities - we believe in hiring extraordinary talent from all around the
world. Our flat organizational structure helps us in giving our team members
complete ownership of the work and ensures ideas come from every level. We
believe in providing unlimited growth opportunities to our people alongside
constant feedback and support, which allows us to cover our vulnerabilities
and grow as a team in new and interesting ways. With the right performance and
potential, you could be managing the power desk for an entire country within
eighteen months in your role. Come join our dream team!
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.
Summary: 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 key role in
supporting our business decisions and driving operational efficiencies through
the use of advanced analytics and predictive modelling techniques.
Key Responsibilities:
* Analyse large and complex datasets to uncover key insights and inform business decisions.
* Design and implement predictive models to support the optimization of trading strategies and market forecasting.
* Collaborate with cross-functional teams to identify business needs and develop data-driven solutions
* Stay up to date with the latest advancements in data science and machine learning and apply these to the power trading domain
* Communicate findings and insights to stakeholders in a clear and concise manner.
Requirements:
* ‎2-‎3 years of experience in data science or a related field, with a proven track record of success
* Strong academic background in computer science, mathematics, statistics, or a related field
* Excellent problem-solving and critical thinking skills
* Proficiency in python programming language.
* Knowledge of machine learning algorithms and data visualization tools
* Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, cross-functional team environment.
This is an outstanding opportunity for a driven and talented Data Scientist to
join a market-leading power 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: While previous work experience in the power trading domain is highly
desirable, it is not a requirement for this role.