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 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!