Data Scientist

The newly created Digital Solutions team is blazing a trail to reimagine the renewable energy space by delivering new and innovative solutions that are built on a solid foundation of data and analytics. Our clients will be able to drive efficiency, gather new insights and realize new levels of performance with their ability to confidently make data driven decisions and implement solutions which let them realize the true potential of their assets and business.

A key differentiator in the Digital Solutions team is our ability to implement change in our customer’s assets through our Controls and Hardware solutions. Our Controls and Hardware team develops products which alter customer assets in a physical or digital way. In the course of developing and managing these products a significant amount of data science is required to derive trends, model physical systems and processes, draw conclusions, and ultimately steer the direction of product development and project implementation.

As the Data Scientist on the Controls and Hardware team you will play a key role in ensuring the success of our product development and success in our product trials and proof-of-concepts. You will be on the leading edge of products which can fully enable renewable assets to reach their full potential.

Key Accountabilities

• Data Collection and Cleaning: Collect, organize, and clean data from various sources to ensure accuracy and consistency. The source dataset will often be big, diverse in terms of types of data, and spanning a variety of data logging periods.
• Modelling: Create models of physical systems and processes to aid data analysis and product development.
• Statistical Analysis: Apply statistical methods and techniques to analyze data and test hypotheses.
• Data Analysis: Conduct in-depth analysis of datasets to identify trends and patterns that can inform business decisions.
• Data Visualization: Create clear and insightful visualizations, such as charts and graphs, to present data findings to stakeholders.
• Data Interpretation: Interpret complex data sets and identify causal relationships to extract actionable insights and recommendations.
• Monitoring: Create and run tools enabling monitoring of ongoing early deployments to site to ensure the product is performing as expected and the required data is collected.
• Collaboration: Collaborate with cross-functional teams, including business analysts, engineers, and managers, to understand data needs and requirements.
• Reporting: Report findings, conclusions and recommendations in a purpose-appropriate format e.g. formal report for a product delivery validation or power-point for an internal presentation.
• Communication: Clearly communicate results from analyses with key stakeholders, adapting the language and level of details to the audience.

Knowledge

• Proficiency in Python and relevant libraries such as pandas.
• Familiarity with statistical methods and techniques for data analysis.
• Knowledge of machine learning models, how to apply them and when they may bring value compared to physics based models.
• Understanding of data visualization principles and tools, such as Tableau or Power BI.
• Knowledge of database systems and querying languages.
• Proficiency in MS Excel, Word and Powerpoint.
• Understanding of business intelligence concepts and practices.
• Understanding of renewable assets, their operation, physics and engineering a plus.

Skills and Attributes

• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Effective communication and presentation skills.
• Ability to work independently and as part of a team.
• Time management and organizational skills.
• Adaptability and willingness to learn new technologies and methodologies.

Experience

• Proven experience in data science or a related role.
• Experience working with large datasets and performing data manipulations.
• Demonstrated proficiency in data analysis tools and software.
• Previous experience with data visualization and reporting.
• Experience in renewables is a plus.

Qualifications

• Bachelor's degree in Engineering, Physics, Computer Science, or a related field (preferred).

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.