Computation Energy Pricing Specialist

LexisNexis Legal & Professional group

Greater London

Hybrid

GBP 60,000 - 90,000

Full time

6 days ago
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Job summary

ICIS is seeking a Computational Energy Pricing Specialist to join editorial and data science teams. You will combine energy market analysis, price reporting, and data science to help assess European gas and power markets while supporting innovative pricing methodologies and analytical tools.

You will work with subject matter experts and technical colleagues to deliver trusted market intelligence, enhance pricing processes, and contribute to the future of energy market transparency.

Qualifications

  • Python coding with data-analysis libraries; SQL, Dash or cloud tools are advantageous.
  • Excellent numerical accuracy and ability to interrogate complex datasets.
  • Knowledge of commodity markets, economics or price reporting; energy-market understanding is desirable.
  • Clear written and spoken English; ability to explain technical concepts.
  • Curious, collaborative and accountable, with the ability to manage priorities in a fast-paced environment.

Responsibilities

  • Assess prices and explain market drivers across a portfolio of European energy markets.
  • Contribute to clear, timely market commentary and data-led analysis.
  • Develop Python code and applications to help automate data gathering, quality checks, calculations and pricing workflows.
  • Lead model maintenance, development and innovation, including testing, documentation, monitoring, debugging and controlled deployment of enhancements.
  • Translate market expertise into model assumptions and communicate methodologies and outputs to technical and non-technical stakeholders.

Skills

Python coding
Data analysis libraries
SQL
Dash or cloud tools
Market knowledge
English language

Tools

Dash
Cloud tools
Version control

Job description

Editorial & Publishing
Computation Energy Pricing Specialist

Are you passionate about applying data science and market expertise to shape transparency in global energy markets?

Do you enjoy building innovative analytical tools while helping customers make better decisions in fast-moving commodity markets?

About the Business

At ICIS, our mission is to optimize the world's resources. We help companies make strategic, sustainable decisions by bringing transparency to markets across the world. We create a comprehensive view of commodities markets, providing companies with the data and intelligence to successfully navigate across global value chains every day. Our customers benefit from instant access to price assessments, reports and forecasts, a dedicated news channel, and supply and demand data. You can learn more about ICIS at https://www.icis.com/explore.

About our Team

Our teams are fuelled by curiosity, relentlessly pursuing better customer outcomes. We're on a mission to deliver an unparalleled customer experience, excelling in communication. In a fast-paced environment, we thrive, embracing change with flexibility and composure under pressure. Our high-energy, self-motivated individuals are driven by a genuine desire to make a positive mark on our business. But that's not all - we're creative problem solvers with an entrepreneurial spirit.

About the Role

We are looking for a Computational Energy Pricing Specialist to join our editorial and data science teams. In this role, you will combine energy market analysis, price reporting, and data science to help assess European gas and power markets while supporting innovative pricing methodologies and analytical tools. You'll work closely with subject matter experts and technical colleagues to deliver trusted market intelligence, enhance pricing processes, and contribute to the future of energy market transparency.

Responsibilities

  • Assess prices and explain market drivers across a portfolio of European energy markets
  • Contribute to clear, timely market commentary and data-led analysis
  • Develop Python code and applications to help automate data gathering, quality checks, calculations and pricing workflows
  • Lead model maintenance, development and innovation, including testing, documentation, monitoring, debugging and controlled deployment of enhancements
  • Translate market expertise into model assumptions and communicate methodologies and outputs to technical and non-technical stakeholders

Requirements

  • Python coding skills, with experience using common data-analysis libraries; version control, SQL, Dash or cloud tools are advantageous
  • Excellent numerical accuracy and the ability to interrogate complex datasets and identify market signals
  • Knowledge of commodity markets, economics or price reporting; energy-market understanding is desirable
  • Clear written and spoken English, sound judgement and confidence explaining technical concepts
  • Curious, collaborative and accountable, with the ability to manage priorities in a fast-paced environment

Studies show that some groups might not apply for a role unless they meet 100% of the job requirements. At ICIS, above all else, we seek passionate, curious, courageous individuals with a commitment to the customers they serve. Our commitment to you in return is to provide equal opportunities and a diverse and inclusive environment.

The unique skills and perspectives people like you bring to the team are the driving force of our success. Whoever you are, if you like this job, join us, bring your best self to work and make a difference.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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