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Description

Do you want to work to make Power for Good?

We're the world's largest independent renewable energy company. We're driven by a simple yet powerful vision: to create a future where everyone has access to affordable, zero carbon energy.

We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them.

RES is a family with a diverse workforce, and we are dedicated to the personal professional growth of our people, no matter what stage of their career they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally.

Our competitive package offers rewards and benefits including pension schemes, flexible working, and top-down emphasis on better work-life balance. We also offer private healthcare, discounted green travel, 25 days holiday with options to buy/sell days, enhanced family leave and four volunteering days per year so you can make an impact somewhere else.

The Position

The Data Scientist is responsible for the analysis of data and creation of analytical tools and data science services that meet the needs of our business. This includes the development and delivery of RES’ noise and shadow flicker curtailment software for operational projects, working in close collaboration with colleagues in the Group Engineering Department.

The role provides expert advice on:

• Use and applicability of data analysis tools and techniques; and
• Use and applicability of machine learning tools and techniques.

Organisational Context

The role sits within the Group Technical Department reporting to the Head of Specialist Services, working on the analysis of data from renewable energy projects at all stages of their project life.

Key Accountabilities

The Data Scientist is responsible for:

• Maintaining and developing RES’ noise and shadow flicker curtailment cloud-hosted software
• Providing data-driven solutions and guidance to the wider business
• Using Python and relevant packages for data analysis, machine learning, and the creation of new analytical tools and data science services
• Carrying out technical analysis to optimise the design of a renewable energy project, predict energy production, analyse shadow flicker and noise data, and assess economic viability.

The Data Scientist may also use their skills and experience to support other areas of the business, in any of RES’ regional markets.

Knowledge

• Broad knowledge of statistics, data analysis techniques and machine learning

Skills

• Ability to listen to customer requirements and design solutions to meet their needs

Experience

• Experience of working with a cloud computing platform, such as Microsoft Azure, Amazon Web Services or Google Cloud
• Experience of working in the renewables industry or coursework in renewable energy would be an advantage.

Qualifications

• Degree in Engineering, Physics, Mathematics, Computer Science or a related discipline
• Or a suitable non-vocational background with appropriate experience.

At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.

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