mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 5+ years of data scientist experience - Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g., EMR, Spark More ❯
heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Role Purpose The Data Analyst will play a key role in advancing forecasting and modelling efforts by managing, analysing, and optimising large datasets across renewable, conventional, and storage assets globally. Working on asset revenue forecasting, power dispatch modelling, or power markets data, the … enhancing the company's global asset performance and revenue strategies. Responsibilities Knowledge Structures poorly defined problems, gathers feedback, and solves them effectively. Defines hypotheses and appropriate analysis approaches. Ensures statistical validity of results while avoiding common pitfalls. Develops deep technical expertise and emerging domain knowledge in forecasting or dispatch modelling. Provides specialist skills in data analysis, visualisation, and data … evolving their skills. Impact Performs defined and repeatable tasks with limited guidance. Independently formulates new analyses and project components. Carries out independent analysis on specific areas of forecasting or modelling projects. Delivers high-quality outputs on time, recognised for accuracy and reliability. Demonstrates strong proficiency in SQL or Python for data handling. Supports data governance and quality assurance activities. More ❯
ROLE: You'd join a high-calibre team in a full-stack data science role . This role will be deeply analytical and mathematical , with an emphasis on exploratory modelling and research-driven development . You will set and optimise prices, using statistical techniques and bespoke modelling solutions. A Data Scientist (Pricing) will need to: Build prototypes … and conduct in-depth experimentation using Python and Pandas Research and develop new pricing models Apply statistical and machine learning techniques Explore and test data-driven approaches to price sensitivity and elasticity Collaborate with a highly technical team YOUR SKILLS AND EXPERIENCE: A successful Data Scientist will have the following skills and experience: MSc or PhD level of education More ❯
career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statisticalmodelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯
