Data Scientist-Leeds

ENGIE is a global leader in low-carbon energy supply and services. Along with over 100,000 employees worldwide, customers, partners and stakeholders, we are committed to accelerating the transition to a carbon-neutral world through more energy efficient and environmentally friendly solutions.

ENGIE’s 1,000 employees in the UK are actively engaged in helping the Group reach net-zero carbon by 2045. We have been active in the UK energy market for over 20 years and our investments are in renewable energy (solar, wind, hydro, biogas) and storage, whilst supplying energy to organisations of all sizes. Some of our major businesses include First Hydro and Storengy.

We are shaping the future of responsible business by reconciling economic performance with a positive impact on people and the planet. If you’re excited about making an impact, we invite you to join our journey to build tomorrow’s low carbon energy systems and meet the challenges of climate change.

ENGIE are recruiting for a Data Scientist to be based in Leeds. This is a permanent full time time role working 37 hours per week. Working is flexible in relation to office attendance (1-2 days per week) and standard office hours (8:30am - 5pm Monday to Thursday, 8:30am – 4:30pm Friday) are expected. On offer is a competitive salary and benefits package.

Key Responsibilities:

• Support the design / build of a new suite of financial reports, in collaboration with engineering and product development teams, making sense of over 3 billion data points, and providing insight to energy supply and purchase contracts

• Enhancing / automating data collection procedures to include information that is relevant for building analytic systems, including extending data with third party sources when needed

• Processing, cleansing, and verifying the integrity of data used for analysis, using automated anomaly detection systems

• Manipulate, analyse and interpret complex data sets relating to the supply and purchase of energy

• Present information using data visualisation techniques

• Ad-hoc analysis

• Continuous review and improvement of processes, focusing on system and automation.

• Develop record management processes and policies

• Work with wider business to ensure good stakeholder engagement and customer service as well as identifying issues, communicating them and enabling a resolution