Data Scientist

We are partnering with a major energy company in the UAE to find an experienced Data Scientist for a 12-month rolling contract.

This is an exciting opportunity to work in the energy sector, where you will be involved in high-impact projects using advanced data science techniques to drive innovation and business growth.

The role offers competitive, tax-free income, relocation support, visa sponsorship, and healthcare benefits. If you're ready to contribute to cutting-edge energy solutions, this is the role for you.

Key Responsibilities:

Advanced Analytics: Apply machine learning, statistical modeling, and AI techniques to solve complex business problems in the energy sector.

Data Exploration & Preprocessing: Explore, clean, and preprocess large datasets from diverse sources to extract actionable insights.

Model Development: Develop and deploy predictive models and algorithms to optimize operations, forecast demand, and improve efficiency.

Data Visualization: Create clear and interactive data visualizations to communicate insights to technical and non-technical stakeholders.

Client Engagement: Collaborate with internal teams and clients to identify business needs, translate them into data science projects, and deliver results.

Research & Innovation: Stay on top of emerging trends in data science and machine learning, and implement cutting-edge techniques to improve business performance.

Collaboration: Work closely with data engineers, business analysts, and domain experts to integrate data science solutions with existing systems and processes.

Key Requirements:

Experience:

4+ years of experience in data science, machine learning, or related fields, with a focus on business-driven solutions.

Proven experience in working with large datasets in complex environments.

Experience in applying machine learning and statistical modeling techniques to real-world problems, preferably in the energy sector.

Technical Skills:

Proficiency in programming languages such as Python, R, or Scala.

Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and data manipulation frameworks (e.g., Pandas, NumPy).

Strong knowledge of SQL and database management systems.

Familiarity with cloud platforms (AWS, GCP, or Azure) and big data technologies (Hadoop, Spark) is an advantage.

Experience with data visualization tools such as Tableau, Power BI, or similar tools.

Exposure to optimization techniques and experience with time-series analysis, especially in energy forecasting, is a plus.

Communication & Leadership:

Excellent communication skills, with the ability to present complex data science concepts to both technical and business audiences.

Experience working in cross-functional teams and leading or mentoring junior data scientists is a plus.

Certifications (Preferred):

Professional certifications in data science or machine learning (e.g., Microsoft Certified: Azure AI Engineer, AWS Certified Machine Learning - Specialty).

Advanced degree (Masters or Ph.D.) in Data Science, Machine Learning, Statistics, or a related field is desirable.

Benefits & Perks:

Tax-Free Income: Competitive salary package with tax-free income.

Relocation Support: Comprehensive relocation assistance to help you move, including accommodation support and logistics.

Visa & Work Permits: Full visa sponsorship and work permits provided.

Healthcare: Full healthcare coverage for you and your dependents for the duration of the contract.

12-Month Rolling Contract: Stability with a rolling contract, and potential for extension or permanent placement based on performance and business needs.

GCS is acting as an Employment Business in relation to this vacancy