Data Analysis Scientist
2 weeks ago
We’re so much more than an energy company. We’re a family of brands revolutionising a cleaner, greener future. Whether you’re developing cutting-edge green tech, helping customers on the front line or simplifying operations behind the scenes.We're looking for a skilled Data Scientist to apply machine learning, clustering, and forecasting techniques to analyse large datasets, build predictive models, and support business objectives. You will have a degree in a quantitative field, strong Python skills, experience with machine learning frameworks (e.g., TensorFlow, scikit-learn), and proficiency in data visualization tools like Power BI. Familiarity with big data and cloud technologies is a plus. Travel to Windsor will be required on occasion.
Data Analysis and Modelling: Apply machine learning, clustering and forecasting techniques to analyse large datasets and extract meaningful patterns and insights. Data Exploration and Visualization: Explore and pre-process raw data to uncover trends, anomalies, and patterns. Collaboration: Work closely with cross-functional teams, including business analysts and IT professionals, to understand business requirements and formulate data-driven solutions. Model Deployment: Implement and deploy machine learning models into production environments. Monitor and optimize model performance over time.
Continuous Learning: Stay current with industry trends, emerging technologies, and best practices in data science and machine learning. Bachelor's or master's degree in data science, Computer Science, Statistics, or a related quantitative field.
Proficiency in programming languages such as Python for data analysis and modelling.
Strong understanding of statistical concepts and experience with machine learning frameworks (e.g., Experience with data visualization tools (e.g., Power BI, plotly, matplotlib).
Experience with big data and cloud technologies (e.g.,
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