Data Scientist
Remote
United Kingdom
Freelance
12-03-2025
Job Specifications
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 Machine Learning applied in predictive modelling 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!
Alternatively connect with me on LinkedIn for more opportunities in this space - (23) Ryan Kwarteng | LinkedIn
About the Company
X4 Technology focus on helping you succeed by connecting the right people and providing the data and insights to help execute your strategic priorities. Our consultants will help you align your people strategy to your business objectives, and guide you with simplicity through the process. Core industries: Consumer Markets, Financial Services, Healthcare, Life Sciences & Technology Get in touch to find out more: Contact@x4-technology.com United Kingdom: T: +44 2078 127 700 United States: T: (718) 360-0570 Germany: T... Know more
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