Senior Data Scientist (Onsite) Data Science · Leading Tech Company · South West London Onsite (5 days) Salary - £70,000 - £90,000, plus benefits Are you a passionate and talented Data Scientist eager to tackle complex challenges and contribute to a data-driven revolution? Our client, a leading technology company transforming the e-commerce landscape, is searching for a skilled Senior Data Scientist to join their expanding team. This is an exciting opportunity to apply your expertise and contribute to impactful projects within a dynamic and innovative environment. About the role: As a Senior Data Scientist, you will play a crucial role in extracting valuable insights from vast datasets, developing predictive models, and contributing to data-driven solutions that enhance business operations and customer experiences. You will collaborate closely with fellow data scientists, engineers, and business stakeholders to deliver impactful outcomes. What you'll be doing: Data Analysis and Modelling: Analyse complex datasets to identify patterns, trends, and anomalies. Develop and implement machine learning models to address business challenges and improve decision-making. Evaluate and optimise model performance, ensuring accuracy and reliability. Collaboration and Communication: Work effectively within a cross-functional team, collaborating with engineers, product managers, and business analysts. Communicate technical findings and insights to both technical and non-technical audiences. Project Contribution: Contribute to key data science initiatives, including supply chain optimisation, delivery time prediction, recommendation engine development, and customer segmentation. Participate in all stages of the project lifecycle, from data exploration and model development to deployment and monitoring. What you'll bring: Solid experience in a data science role, preferably within a fast-paced e-commerce, logistics, or related industry. Strong understanding of machine learning algorithms, statistical modelling, and data visualisation techniques. Proficiency in programming languages such as Python or R. Experience with data manipulation and analysis tools. Excellent communication and collaboration skills