Digital Technology Specialist - Data Science

Are you passionate about being part of a successful team? Would you like the opportunity to work for a world class oilfield services company? Join our team! our organization increasingly adopts AI-enabled and agentic ways of working, we are looking for individuals who combine strong scientific and engineering fundamentals with curiosity, adaptability, and a bias for execution. Success in this role requires the ability to rapidly learn emerging technologies, collaborate across disciplines, and contribute throughout the entire solution lifecycle from problem framing and experimentation through deployment, operationalization, and continuous improvement. Experience in Oil & Gas and an appreciation for the importance of domain context in solving real business problems are highly valued. Partner with the best: As a Digital Technology Specialist, you will be responsible for: Identify, frame, and solve complex business and operational challenges using data science, machine learning, AI, optimization, and software engineering techniques. Design, develop, test, deploy, and maintain end-to-end data and AI solutions that create measurable business impact. Translate analytical concepts into scalable, reliable, and maintainable production systems. Contribute across the full solution lifecycle, including requirements discovery, experimentation, development, deployment, monitoring, and continuous improvement. Collaborate with domain experts to incorporate operational context and business constraints into solution design. Leverage modern AI-assisted development practices and emerging technologies to accelerate delivery while maintaining engineering rigor, quality, and governance. Work closely with data engineers and platform teams to ensure data quality, reliability, scalability, and observability. Evaluate new technologies, frameworks, and methodologies, adopting them where they provide meaningful business value. Communicate technical findings and recommendations effectively to both technical and non-technical stakeholders. Contribute actively within Agile teams operating across multiple locations, functions, and time zones. Document, share, and promote best practices that improve team effectiveness and technical excellence. Fuel your passion To be successful in this role you will: Have a bachelor's degree in computer science, Data Science, Engineering, Mathematics, Physics, Information Systems, or another STEM discipline. Have a minimum 4 years of professional experience in data science, machine learning, analytics, software engineering, or a closely related technical field. Demonstrated experience delivering solutions from concept through production deployment. Have a strong programming and software engineering fundamentals. Proven ability to learn and apply new technologies, frameworks, and methodologies in rapidly evolving environments. Technical Expertise Strong proficiency in Python and experience developing production-quality software. Experience with modern development ecosystems and cloud-native technologies, such as: Python TypeScript Go and/or Rust AWS Databricks Git-based CI/CD pipelines Containerization technologies such as Docker and Kubernetes Experience with machine learning, AI, optimization, statistical analysis, and data-driven decision-making. Familiarity with large language models (LLMs), generative AI, agentic systems, and AI application development. Understanding of software architecture, testing, deployment, monitoring, and operational excellence. Experience working with structured, semi-structured, and time-series industrial data. Strong data visualization, storytelling, and stakeholder communication skills. Domain Knowledge Experience in Oil & Gas, energy, industrial operations, manufacturing, or related sectors is strongly preferred. Ability to combine domain understanding with analytical and engineering expertise to solve practical business problems. Understanding of operational workflows, reliability, production