National Grid facilitates electricity and gas transmission systems and focuses on delivering clean energy. The Data Scientist will be responsible for developing and implementing machine learning models and automation tools to enhance business processes, requiring a strategic thinker with expertise in advanced analytics.
Develop, implement and deploy machine learning models, by mining big data, to solve complex business problems.
Monitor and evaluate the performance of machine learning models, ensuring they meet the desired outcomes. Continuously improve models based on feedback and new data.
Automate data processing and analysis workflows to improve efficiency and accuracy.
Analyze large datasets to identify trends, patterns, and insights.
Provide actionable insights and recommendations based on the analysis of data and model performance.
Collaborate with cross-functional teams to understand business requirements and deliver impactful solutions.
Stay current with the latest advancements in machine learning and related technologies.
Qualification
Required
1+ years of work experience in building and validating predictive models to forecast trends and behaviors.
Proficiency in programming languages such as Python required.
Strong understanding of statistical analysis and mathematical modeling.
Experience in building and validating predictive models to forecast trends and behaviors.
Preferred
Bachelor's in Computer Science, Data Science, Statistics, Mathematics, or a related field preferred.
Proficiency in programming languages such as R, SQL or Java.
Experience with machine learning frameworks and libraries such as TensorFlow, Keras, Scikit-learn, PyTorch, or similar
Familiarity with data preprocessing and feature engineering techniques.
Knowledge of database systems and SQL for data extraction and manipulation.
Experience with data visualization tools such as Tableau or Power BI.
Benefit
National Grid facilitates electricity and gas transmission system and focuses on delivering clean energy.
