DATA SCIENTIST - Dubai, UAE

Cobblestone Energy; Dubai; On-site; AED 293,000 - 404,000; Full time

Job summary

An innovative energy trading company in Dubai is seeking a Data Scientist to leverage data-driven solutions for critical business decisions. The ideal candidate should have strong expertise in Python, experience in data science, and the ability to analyze complex datasets. They will play a key role in optimizing trading strategies through advanced analytics. This role offers a competitive salary and performance-based bonuses in a 0% tax environment.

Benefits

Equity participation

Performance-based bonus

Visa sponsorship and relocation assistance

Qualifications

• 2-3 years in data science or related field with proven results.
• Strong academic background in relevant fields.
• Expertise in Python programming for data science.

Responsibilities

• Analyse large datasets to generate actionable insights.
• Design predictive models to optimize trading strategies.
• Collaborate with teams to craft data-driven solutions.

Skills

Data analysis

Problem-solving

Python programming

Machine learning

Education

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

Tools

Data visualization tools

Job description

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. 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

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

Apply for this job

*

indicates a required field

First Name *

Last Name *

Email *

Phone *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

LinkedIn Profile *

Which country are you applying from? * Select...

State the City/ State / Province that you are located in the Country you are applying from *

Are you willing to relocate to the UAE? * Select...

Why are you interested in working in Dubai, and how do you believe this location aligns with your personal and professional goals? *

Select...

Highest level of education * Select...

Bachelor's degree transcript *

Accepted file types: pdf, doc, docx, txt, rtf

University name? Please select your 'Country - University' combination from the list below. If your University does not appear, kindly select 'Other' from the top of the list. * Select...

University name if 'Other'? Please enter your 'Country - University' here if it was not listed in the question above. *

How many years of work experience in Python do you have? * Select...

How many years of professional experience do you have in the field of Data Science? * Select...

Provide a comprehensive overview of a significant project you've led, covering the entire project lifecycle, emphasizing your distinct contributions, innovative approaches, adopted methodologies, achieved outcomes, and the resultant impacts. *

Reflecting on your project experience, could you share insights into the valuable lessons you've gained, challenges you've encountered, and the enhancements you've introduced to the usual method. *

Based on your understanding of our company, which particular projects or tasks do you aspire to initiate or take ownership of, considering your skill sets? *

Tell us about your track record of excellence, both academic and non-academic. *

Why do you want to join the Cobblestone Energy team? *

Why does this role make sense at this point in your career? *

Where did you hear about this opportunity? * Select...

What is your expected start date? *

Please consider your notice period, which refers to the duration (in weeks or months) required to prepare for the conclusion of your current obligations before beginning your new position