Job Title:
Data Scientist
Scroll down to find the complete details of the job offer, including experience required and associated duties and tasks.Location:
Fully Remote UKJob Type:
6-Month Contract with the possibility of extensionInterview Process:
Remote video interviewsRate:
DOE, Outside IR35A 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!
