Role Overview
Join a core team of data scientists, engineers, and analysts to help turn data into practical business value. Work in a hybrid environment, combining hands-on technical work with clear communication. Collaborate with stakeholders across business functions to identify opportunities in areas including decision-making, pricing, customer intent, and monitoring.
What You Will Do
Apply data science product lifecycle principles across new projects, from design and exploratory data analysis through to model building, evaluation, deployment, monitoring, and maintenance. Contribute to the development of production data science models and take an active role in their ongoing performance and lifecycle management.
Why It Might Be a Fit
This role suits someone who enjoys collaboration, tackling varied business challenges, and continuing to develop their data science practice. The organisation offers an unrivalled career opportunity and a comprehensive benefits package.
Requirements
- Strong Python programming skills
- Experience with test-driven development (TDD)
- Familiarity with version control and IT delivery tools
- Experience across the data science lifecycle
- Predictive or prescriptive analysis experience
- Ability to identify applications of machine learning to business problems
- Experience with cloud deployment, commercial development, and tuning of machine learning models
- API development, SQL, DevOps, MLOps, or CI/CD experience
- Relevant graduate or postgraduate qualification
Benefits
- Up to 20% bonus
- 10% company pension contributions
- Private dental & healthcare policies
- Sharesave scheme
To apply for this job please visit linkedin.com.
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