Data Scientist

Job Title: Data Scientist

Location: Fully Remote UK

Job Type: 6-Month Contract with the possibility of extension

Interview Process: Remote video interviews

Rate: DOE, Outside IR35

A leading London-based IT consultancy is seeking a talented and motivated Data Scientist with experience in the energy sector to join their team.

Key Responsibilities for the Data Scientist Role:

• Collaborate with energy stakeholders to design, develop, and implement data-driven solutions tailored to business needs, such as customer segmentation, sales forecasting, and inventory optimisation.
• Build and deploy machine learning models to support key energy functions, including pricing strategies, supply chain analysis, and customer behaviour prediction.
• Develop scalable and reusable tools to streamline the deployment and monitoring of data science solutions across energy operations.
• Work closely with engineers to integrate machine learning models into production systems and energy platforms.
• Analyse large datasets, including transactional and customer data, to uncover actionable insights that drive business decisions.
• Establish best practices for data processing, feature engineering, and model evaluation within a energy context.

Key Skills and Qualifications:

• Strong understanding of the data science lifecycle, including data exploration, feature engineering, model development, and deployment, with a focus on energy applications.
• Proficiency in Python, with experience in libraries and frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Expertise in statistical analysis, probability, and machine learning techniques relevant to energy, such as time series forecasting and recommendation systems.
• Experience working with energy datasets, including point-of-sale, e-commerce, and loyalty programme data.
• Knowledge of cloud environments like AWS, GCP, or Azure, with hands-on experience deploying and managing solutions in these platforms.
• Familiarity with containerisation technologies like Docker and orchestration tools such as Kubernetes.
• Excellent communication skills, with the ability to translate complex data insights into actionable recommendations for non-technical energy stakeholders.

If you’re a skilled Data Scientist with a passion for applying your expertise to the energy industry, we’d love to hear from you—apply today!