PE Global Energy & Technology

About the Company

PE Global Energy & Technology (part of PE Global) partners with leading clients in the Conventional Energy, Energy Transition, and New Energy sectors to provide continuous access to top-tier talent. We support companies as they evolve with the changing industry landscape, while simultaneously assisting professionals in identifying and securing roles that align with their career growth.

We source and recruit both permanent and contract staff for energy roles internationally, and offer a comprehensive suite of talent solutions, including RPO, MSP, and project-based recruitment services.

Partnering with PE Global Energy
Scalability and Specializations: PE Global recruits for clients locally and internationally, helping them scale their operations in areas where competition for specialist skills is particularly challenging.

Talent Pools: PE Global places a strong emphasis on building talent pools across key skill areas, enabling us to respond quickly and effectively to our clients' needs throughout the full project recruitment life cycle.

Multi-disciplinary Agency: In addition to energy and technology, we support clients in finance, legal, corporate, operations, and support services. This approach ensures that our clients can access a broad range of talent solutions through a single, trusted point of contact and supplier.

Why Partner with PE Global?
PE Global promotes your brand, vision, culture, projects, assets, and journey to the candidate market.

We work closely with you to define the message you wish to communicate and gain an in-depth understanding of each job specification, criteria, and the market challenges associated with every assignment.

Listed Jobs

Company Name

PE Global Energy & Technology

Job Title

AI Specialist

Job Description

**Job Title:** AI Specialist **Role Summary:** Lead the design, development, and deployment of AI solutions for trading, risk analytics, and operational monitoring. Provide strategic direction, technical execution, and governance to deliver measurable business value while ensuring responsible AI practices and regulatory compliance. **Expectations:** - Drive AI strategy and roadmap, identifying high‑value use cases. - Translate business challenges into actionable AI projects and champion adoption. - Deliver measurable outcomes through KPI tracking and impact assessment. - Foster an AI Center of Excellence, establishing standards, governance, and ethical guidelines. - Scale and support the AI team’s technical capabilities and model risk management. **Key Responsibilities:** - Contribute to AI strategy and roadmap prioritization. - Design, build, and deploy AI models for trading, risk analytics, and operational monitoring. - Define AI architecture, tools, and best practices, embedding responsible AI principles. - Ensure initiatives deliver measurable business value and track relevant KPIs. - Translate business challenges into actionable AI use cases and drive adoption across the organization. - Provide technical guidance, support AI team scaling, and enforce AI governance, model risk management, and regulatory compliance. **Required Skills:** - 5–10 years of experience in AI, data science, or machine learning. - Strong stakeholder engagement and communication skills. - Knowledge of trading or financial services domains (desirable). - Expertise in AI architecture, model development, and deployment pipelines. - Experience with responsible AI frameworks and ethical AI implementation. - Ability to define governance, model risk management, and regulatory compliance procedures. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - Professional certifications in AI/ML (e.g., TensorFlow, PyTorch, Data Science, or relevant AI specialization) are preferred.

England, United kingdom

On site

06-02-2026

Company Name

PE Global Energy & Technology

Job Title

Data Scientist

Job Description

Job title: Data Scientist Role Summary: Deliver end‑to‑end data science solutions, from modeling and experimentation to production deployment, to drive strategic decisions for a global client. Expactations: - Design, build, and deploy scalable machine learning models. - Conduct exploratory analysis on large, complex datasets. - Translate business needs into actionable analytical solutions. - Monitor and optimize model performance in production. Key Responsibilities: - Develop predictive and prescriptive analytics for forecasting and decision support. - Perform exploratory data analysis on extensive datasets. - Design, implement, and maintain machine learning and statistical models. - Collaborate with data engineers and IT teams to ensure scalable deployment. - Translate technical findings into clear, actionable insights for non‑technical stakeholders. - Continuously evaluate model performance and refine models in production. Required Skills: - 5–8 years of experience in data science or advanced analytics. - Proficiency in Python (or R) and mainstream ML libraries (scikit‑learn, TensorFlow, PyTorch, etc.). - Strong statistical and machine learning expertise. - Experience deploying models to production environments. - Excellent analytical, problem‑solving, and communication skills. Required Education & Certifications: - Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. - Relevant certifications (e.g., Certified Analytics Professional, Microsoft Certified: Azure Data Scientist Associate) are advantageous.

England, United kingdom

On site

Mid level

06-02-2026