Quantitative Analyst

About us

From origins as a small, independent gas supplier in the North West of England, we have grown to become a major business energy supplier. After just ten years, Gazprom Energy has become the second largest business gas supplier in the UK and we currently supply 34,000 business customers at over 80,000 sites across Europe.

Manchester is home to our European headquarters, a base from which we have expanded into France and the Netherlands. Our teams across Europe are united by the shared ethos of being helpful and making life easier for our customers. In 2015 we won the coveted Energy Supplier of the Year award at the Energy Awards 15, as well as achieving Gold standard in people management by Investors in People for the second time running.

Our culture is defined by our people. Through living our values every day we continue to create a culture that enables us all to succeed. We work as one team with our customers, our parent company and each other in order to understand each other's needs. With an unstoppable passion for excellence, growth and learning, we're committed to creating an environment that fosters the development of knowledge, skills and experience, so that our people can thrive and prosper in their careers with us. We believe that we have the best team in the industry which makes us a trusted partner across international capital and energy markets. Our diverse employee base, with a wealth of expertise, knowledge and experience makes GM&T a truly exciting place to work. We encourage new ideas and initiatives as innovative thinking is central to how we do business. Most importantly, we are a growing and developing business where inspired individuals can make a difference and help shape our future.

Duties & Responsibilities

Quantitative insight and optimization

• Learning and applying data analytics and AI technologies to commercial challenges.

Core:

• Join dynamic and entrepreneurial commercial function
• Create quantitative and strategic insights for the Gazprom Energy Portfolio
• Develop strategies based on insights and support commercial implementation
• Support online marketing strategy (e.g. pay-per-click, google ads, comparison websites, optimising price/underwriting on our website)

Skills & Competencies

• Exceptional statistical and data manipulation skills (high level of SQL expertise essential)
• Experience of using machine-learning techniques such as clustering and regression would be highly desirable.
• Demonstrable creativity and drive along with an entrepreneurial approach, with the ability to contribute new ideas and pursue new opportunities & projects.
• Strong commercial acumen
• Drive and focus to deliver
• Proven ability to work well as part of a diverse, high-performing team
• Excellent stakeholder management skills, with the ability to develop and maintain effective working relationships at all levels

Experience

• Demonstrable experience of working in a previous data science / analytical position
• Demonstrable experience and proven track record of producing meaningful data insight.