Data Science Operations - Data Science Lead - Houghton Regis
Whitbread Plc, Bedford
Data Science Operations - Data Science Lead - Houghton Regis
Salary not available. View on company website.
Whitbread Plc, Bedford
- Full time
- Permanent
- Onsite working
Posted today, 9 Jan | Get your application in now to be one of the first to apply.
Closing date: Closing date not specified
job Ref: 2c3f24be470c40579fc8b8b7e6491884
Full Job Description
- You'll identify and prioritise opportunities to leverage data and advanced machine learning techniques to optimise business decisions and outcomes.
- You'll design and implement sophisticated data analytics pipelines to extract actionable insights that inform and refine model architecture and deployment strategies.
- You'll develop, train, and optimise custom machine learning models and algorithms to enhance predictive accuracy, scalability, and performance in real-world applications.
- You'll prototype and operationalise advanced systems and workflows that integrate predictive models into business processes, ensuring robust and reliable performance.
- You'll establish and evangelise best practices in machine learning and data science, including experimentation, reproducibility, and model governance.
- You'll mentor and guide junior machine learning engineers and data scientists, fostering technical growth and encouraging innovation within the team.
Proven experience (3+ years) in data science, machine learning, and statistical analysis, with a strong focus on digital marketing and/or operational optimisation within the hospitality industry. - Comprehensive knowledge of machine learning techniques and their practical limitations when applied within real-world business processes in the hospitality sector.
- Adept at formulating hypotheses and business cases for change, translating them into actionable analytical workplans that drive measurable improvements.
- Advanced proficiency in analytics, statistics, and modelling, with extensive experience utilising programming languages such as R, Python, SQL, and VBA to solve complex business challenges.
- Expertise in software development practices, including functional programming, testing and validation frameworks, as well as MLOps and LLMOps methodologies, with a focus on robust deployment frameworks.
- Optional: Experience working with the Azure cloud technology stack, leveraging tools and services such as Azure Machine Learning, Azure Databricks, and Azure DevOps to design and deploy scalable solutions.
10% matched pension - Discounts: Up to 60% discount on Premier Inn stays and 25% discount on our Restaurant brand