Description
Do you want to work to make Power for Good?
We're the world's largest independent renewable energy company. We're guided 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 and 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, 24 days holiday (with an additional discretionary day given by the company) 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 accountable for developing and owning analytical solutions and tools which support the development of our renewable energy projects, and deliver a competitive advantage through reducing cost, increasing value and/or delivering sustainable growth. This includes researching and developing new optimisation and analytical techniques, and designing analytical tools and code based on these new techniques working with software developers (where appropriate) to fully productionise the tools.
The position works across all technologies including wind, solar, energy storage and hydrogen, and works in close collaboration with other teams (both at a group and regional level) including technical, engineering, procurement, development and commercial to ensure that all solutions meet business needs in an ever-evolving market.
Organisational Context
The role sits within the Technical Software & Analytical Solutions team, within Group Technical, and reports to the Head of Technical Software & Analytical Solutions.
The Technical Software & Analytical Solutions team is a multi-disciplinary and diverse team focussed on developing appropriate technical software and analytical solutions which drive the techno-economic optimisation of our projects, and drive standardisation and efficiency savings.
Key Accountabilities
The Data Scientist is responsible for:
- Working closely with subject matter experts from various parts of the business, technical and non-technical, by developing, owning and maintaining analytical solutions and tools to support the design of renewable energy projects, drive the techno-economic optimisation of our projects, and drive standardisation and efficiency savings
- Researching optimisation and other analytical techniques and applying them where appropriate across the business
- Ensuring all analytical solutions meet the needs of the business and deliver value
- Work closely with software development where appropriate, to deliver solutions that can be deployed at scale
The Data Scientist may also use their skills and experience to support other areas of the business, in any of RES’ regional markets.
Knowledge
- Good working knowledge of statistics and data analysis techniques would be an advantage
- Knowledge of the physics and/or engineering behind any of our technology areas (wind, solar, storage, hydrogen) would be an advantage
- Working knowledge of energy yield and layout design best practice for utility scale wind and solar projects would be an advantage
- Working knowledge of the software development process would be an advantage
Skills
- Strong numerical problem-solving and general technical skills
- Strong programming skills (Python would be an advantage)
- Good communication and interpersonal skills
- Ability to listen to customer requirements and design solutions to meet business needs
Experience
- Experience in the field of techno-economic optimisation and mathematical/computational optimisation would be an advantage
- Experience of working in the renewables industry and/or in a related research field would be an advantage
- Experience producing analytical tools and solutions to meet business needs would be an advantage
- Experience working with cloud computing platforms (e.g. Azure, AWS, Google Cloud) would be an advantage
Qualifications
- Degree in Engineering, Physics, Mathematics, Statistics, Data Science, Computer Science, or related discipline
- Or a suitable trade/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.
