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ML Performance Engineer


Job details
  • Centrica
  • London
  • 6 days ago

We’re so much more than an energy company. brands revolutionising a cleaner, greener future. green tech, helping customers on the front line or simplifying operationsWere looking for a skilled Data Scientist to apply machine learning,quantitative field, strong Python skills, experience with machine learningTensorFlow, scikit-learn), and proficiency in datavisualization tools like Power BI. Familiarity with big data and cloudTravel 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. Bachelors or masters 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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