Senior Data Scientist - Energy Analytics

About the Role

Our client is seeking a brilliant Senior Data Scientist to join their advanced analytics team in Cambridge , focusing on the intricate challenges of the energy sector . In this role, you will leverage vast datasets to develop predictive models, extract actionable insights, and drive data-informed decisions for energy generation, distribution, and consumption. You will work with cutting-edge machine learning techniques and big data technologies to optimize operations and explore new avenues for energy efficiency and sustainability. This is a premier opportunity for a data expert looking to make a tangible impact on the future of energy.

Key Responsibilities

• Develop and deploy advanced statistical models and machine learning algorithms for energy forecasting, load prediction, and anomaly detection.
• Analyze large, complex datasets from various sources within the energy industry to identify patterns and trends.
• Design and implement A/B tests and experiments to evaluate the effectiveness of new strategies and initiatives.
• Collaborate with engineering, operations, and business teams to define data requirements and deliver analytical solutions.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders through visualizations and reports.
• Contribute to the development of data infrastructure and pipelines, ensuring data quality and accessibility.

Requirements

• A Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field.
• Minimum of 6 years of professional experience as a Data Scientist , with a significant portion in the energy sector .
• Expertise in programming languages such as Python or R, and proficiency with data manipulation libraries (e.g., Pandas, NumPy).
• Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and statistical modeling techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and database querying (SQL).
• Excellent problem-solving abilities and a passion for uncovering insights from data.

Benefits

• A highly competitive salary complemented by substantial annual bonuses and stock options.
• Comprehensive health, dental, and vision insurance.
• Generous pension scheme and life assurance.
• Significant investment in professional development, conferences, and cutting-edge training.
• A stimulating and collaborative research-oriented environment in a leading innovation hub like Cambridge .