Senior Data Scientist

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• 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.