Junior Data Scientist - Dubai, UAE at Cobblestone Energy - Dubai, UAE.

Dubai, Dubai, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

11 Sep, 26

Salary

65000.0

Posted On

13 Jun, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Python, R, SQL, Pandas, NumPy, Matplotlib, Seaborn, LLM Integration, LangChain, Data Pipelines, Predictive Modeling, Time-Series Analysis, Machine Learning, Data Visualization, Agentic Frameworks, Exploratory Data Analysis

Industry

Oil and Gas

Description

Employment Type: Full-time & Permanent. Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance). Salary: USD 65,000 per annum + performance based bonus - 0% tax environment. Employee Share Scheme: Opportunity to join Cobblestone Employee Share Scheme. Annual Leave: 30 Calendar Days. Public Holidays: As declared by UAE Government annually (8 to 14 days). Probation Period: 3 to 6 Months (as per UAE Labour Law). Health Insurance: Comprehensive Private Health Insurance (IPD, OPD & Dental). Residency Visa Sponsorship: Provided by the Company. Relocation Support: Available for candidates relocating to Dubai. End of Service Gratuity: As per UAE Labour Law. About Cobblestone Energy Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. Cobblestone Values Excellence in Hiring & Teamwork Lifelong Learning Through Continuous Reflection Independent Thinking Through a Meritocracy of Ideas Winning 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 AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification. Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data. 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 programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces. Proven ability to build custom "Agents" or automated workflows that interpret unstructured data or reason through multi-step problems. Pro-active and flexible work mentality Interest in data-driven trading 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 Learn more about Cobblestone Energy careers: https://cobblestoneenergy.com/careers/ Why work with us: https://cobblestoneenergy.com/why-work-with-us/ Recruitment process: https://cobblestoneenergy.com/careers/vacancies/#process

Responsibilities

Develop and validate predictive models and data pipelines to support energy trading strategies. Utilize LLMs and agentic frameworks to automate data cleaning and accelerate exploratory data analysis.