Senior Data Scientist

Doha, Qatar

Ref: PP000-16794

Job description / Role

Job Type
Full Time
Job Location
Doha, Qatar
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
Research & Development (R&D)
Company Industry
Oil & Gas

Overview

We are seeking a highly skilled senior data scientist to drive innovation and deliver impactful data science solutions within a global energy organisation. This is an exciting opportunity to play a leading role in shaping the company's transition into a truly data-driven business.
Working at the intersection of digital transformation and energy, you will design, build, and deploy advanced analytics and AI-driven solutions that improve operational performance, enable smarter decision-making, and unlock new value streams.

Key responsibilities

Strategy & leadership
  • Support the development of data science strategy to align with business objectives.
  • Promote analytics and AI adoption across the business to enhance insights and problem-solving.
  • Mentor and guide junior team members while leading high-impact projects from ideation to delivery.
  • Innovation & development
  • Lead and manage proof-of-concepts (PoCs), MVPs and use cases (including big data, machine learning, GenAI, and computer vision).
  • Conduct complex quantitative analysis, modelling, and algorithm development.
  • Translate analytical outputs into practical business recommendations.
  • Collaborate with vendors and internal stakeholders to ensure delivery of quality solutions.
  • Collaboration & execution
  • Work closely with business units (geoscience, operations, HSE, supply chain, etc.) to understand challenges and develop tailored solutions.
  • Support integration of analytics solutions into existing platforms and workflows.
  • Ensure user adoption and provide technical support during roll-out and scaling.
  • Continuous improvement
  • Enhance models through re-training and fine-tuning.
  • Monitor emerging technologies, methods, and industry best practices.
  • Build partnerships with technology providers and research groups to stay ahead of trends.
  • Qualifications & experience

  • Master's degree in data science, computer science, statistics, mathematics, or engineering.
  • Minimum 6 years' professional experience in data science, including hands-on delivery of machine learning and advanced analytics projects.
  • Strong industry experience in oil & gas, with knowledge of seismic, production, or reservoir data.
  • Expertise in generative AI, with proven experience developing solutions using LLMs or similar frameworks.
  • Proficiency in Python, SQL, and data manipulation libraries (e.g. pandas).
  • Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with cloud platforms (Azure preferred) and big data tools (Hadoop, Spark, Databricks).
  • Skilled in data visualisation (Power BI or similar).
  • Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts for diverse audiences.
  • What's on offer

  • Work on cutting-edge digital and AI projects within a leading energy organisation.
  • Opportunity to influence strategy and innovation at scale.
  • Collaborative, forward-thinking environment with exposure to global teams.
  • Competitive package and long-term career development prospects.
  • Get personalised updates on latest vacancies
    Similar jobs you may be interested in
    Data Scientist Easy Apply
    RTC-1 Employment Services
    Kuwait 13 Nov
    Data Scientist - Government Client(Confidential) Easy Apply
    ManpowerGroup Middle East
    UAE 10 Oct
    Data Scientist Easy Apply
    RTC-1 Employment Services
    Kuwait 6 Oct
    Director of Data Analytics (Loyalty) Easy Apply
    Michael Page
    Saudi Arabia 2 Oct
    Data Scientist Easy Apply
    RTC-1 Employment Services
    Kuwait 29 Sep
    Job Alerts by Email
    • Personalised updates on latest career opportunities
    • Insights on hiring and employment activity in your industry
    • Typically sent twice a month