Data Scientist
Role details
Job location
Tech stack
Job description
Are you a passionate Data Scientist ready to make a real impact in the retail industry? Our client is seeking a talented individual to join their vibrant team on a fixed-term contract. With a daily rate ranging from £550 to £850, you'll play a crucial role in shaping the future of retail through data-driven insights and innovative solutions!
About the Team: At our client's organization, the Data Science team tackles complex business challenges across various domains, including customer experience, supply chain, and technology. They leverage advanced machine learning, generative AI, and large language models (LLMs) to optimize prices, enhance store operations, and personalize customer experiences. Team members enjoy a collaborative environment, rotating across different business areas to expand their expertise and make a significant impact.
Your Role: As a Data Scientist, you'll be at the forefront of developing and deploying machine learning solutions that transform decision-making processes. Your key responsibilities will include:
- Designing and implementing robust models to optimize business operations.
- Building and maintaining data pipelines while ensuring effective model performance evaluation.
- Experimenting with innovative approaches to translate business challenges into actionable data science solutions.
- Collaborating with Machine Learning Engineers and Software Engineers to create efficient and maintainable solutions aligned with the organization's technology standards.
- Communicating complex ideas clearly to non-technical stakeholders and contributing to internal knowledge sharing.
Requirements
- A solid foundation in machine learning, statistics, and programming.
- Intellectual curiosity and critical thinking skills, with a scientific mindset that drives business impact.
- Proven ability to translate complex business problems into clear data science solutions.
- Extensive experience using Python for model development and working with large-scale data in distributed computing environments.
- Knowledge of strong coding practices, including version control and testing methodologies.
- A proactive approach to learning new methods and keeping up with the latest industry developments.
- A higher degree in a quantitative discipline (Mathematics, Computer Science, Engineering, or Physics) is preferred, but equivalent commercial experience is also valued.
- Hands-on experience with advanced machine learning libraries., This is a fantastic opportunity to apply your skills in a fast-paced environment and contribute to innovative projects that directly influence customer experiences and business outcomes. If you're excited about leveraging data to drive meaningful change and thrive in a collaborative atmosphere, we want to hear from you!
Benefits & conditions
Contract Length: 6 months with possible extension. Working Pattern: Hybrid 2-3 day sper week in office.