Data Scientist

Abu Dhabi
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.