Pontoon Solutions
Data Scientist
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About the Company
Data Science team builds scalable solutions to complex business challenges across stores, online, supply chain, marketing and Clubcard. We apply advanced machine learning models to optimise prices and store operations, personalise customer experiences, and drive innovation. We work across several business domains, including customer experience, supply chain, online, fulfilment, distribution, commodities, store operations and technology. Team members rotate across domains to broaden their expertise and impact.
About the Role
As a Data Scientist you will develop and deploy machine learning solutions that directly impact how we optimise decisions, serve our customers and run our business. You will be responsible for designing and implementing robust models, experimenting with new approaches, and translating business problems into data science solutions. This includes building data pipelines and models, evaluating model performance both statistically and in terms of business impact, and scaling solutions into production. You will collaborate closely with Machine Learning Engineers and Software Engineers to ensure solutions are efficient, maintainable, and aligned with technology standards. You will also play a key role in communicating complex ideas clearly to non-technical stakeholders, contributing to internal knowledge sharing and representing Tesco in the external data science community.
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Responsibilities
- Develop and deploy machine learning solutions.
- Design and implement robust models.
- Experiment with new approaches.
- Translate business problems into data science solutions.
- Build data pipelines and models.
- Evaluate model performance statistically and in terms of business impact.
- Scale solutions into production.
- Collaborate with Machine Learning Engineers and Software Engineers.
- Communicate complex ideas to non-technical stakeholders.
- Contribute to internal knowledge sharing.
- Represent client in the external data science community.
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Qualifications
A higher degree in a quantitative discipline—such as Mathematics, Computer Science, Engineering, or Physics—is preferred, though equivalent experience in a commercial setting is also valued.
Required Skills
- A strong foundation in machine learning, statistics, and programming.
- Intellectual curiosity, critical thinking, and the ability to ask the right questions.
- The ability to translate challenging business problems into data science solutions.
- Extensive experience in designing and implementing models using Python.
- Experience working with large-scale data in distributed computing environments.
- In-depth knowledge of strong coding practices, including version control and testing.
- Proactivity in learning new methods and contributing to a culture of knowledge sharing and collaboration.
Preferred Skills
- Hands-on experience with advanced machine learning libraries.
Pay range and compensation package
- Pay: £500 to £750 per day
- Duration: 06 Months
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