Senior Data Scientist - Energy Analytics

About the Role

Our client is seeking a highly analytical and innovative Senior Data Scientist to join their expanding team, working remotely to drive insights from complex datasets within the energy sector . This role is central to developing predictive models and advanced analytical solutions that inform strategic decisions regarding energy generation, consumption, and market trends. You will collaborate with cross-functional teams, leveraging your expertise in machine learning and statistical modeling to uncover actionable intelligence. This is a fully remote position offering the flexibility to work from anywhere in the UK, ideal for a data science expert passionate about shaping the future of energy through data-driven innovation and contributing to a cutting-edge, globally connected team.

Key Responsibilities

• Develop and deploy sophisticated machine learning models for energy forecasting and anomaly detection.
• Analyze large-scale datasets to identify trends, patterns, and opportunities in energy markets.
• Design and implement A/B tests and other experiments to validate hypotheses.
• Collaborate with data engineers and domain experts to ensure data quality and accessibility.
• Communicate complex findings and recommendations to technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to the team's best practices.

Requirements

• Master's or PhD in a quantitative field (e.g., Statistics, Computer Science, Physics).
• Minimum of 6 years of professional experience in data science and advanced analytics.
• Strong proficiency in Python or R, including relevant libraries (e.g., Scikit-learn, TensorFlow, Pandas).
• Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Experience working with large datasets and distributed computing frameworks (e.g., Spark).
• Excellent communication and presentation skills, with the ability to explain complex technical concepts.

Benefits

• Highly competitive salary and bonus structure.
• Fully remote working arrangement with flexible hours.
• Comprehensive health, dental, and vision insurance plans.
• Generous allowance for home office equipment and professional development.
• Opportunity to work on impactful projects at the forefront of energy analytics .