
Data Science Innovator
2 weeks ago
We are seeking an experienced Senior Data Scientist to join our high-impact data team. The successful candidate will play a key role in rolling out advanced Machine Learning initiatives across a complex, fast-paced commercial environment.
This is a fantastic opportunity for a highly skilled individual to drive ML delivery across commercial functions and contribute to the development of scalable ML solutions using Azure ML and MLOps frameworks.
Key Responsibilities- Design, develop, and deploy end-to-end ML models using Azure ML, Pipelines, and Data Factory
- Build quick proof-of-concepts to demonstrate feasibility and refine solutions for production
- Collaborate with stakeholders across commercial and technical teams to identify and prioritise business problems that can be solved with ML
- Own the entire ML lifecycle from data preprocessing and feature engineering through to deployment, monitoring, and retraining
- Implement scalable MLOps strategies including CI/CD, performance tracking, drift detection, and automated retraining
- Work cross-functionally with data engineers and software developers to embed models into production systems
Requirements
- 5+ years of hands-on experience in data science and ML model development
- Expertise in Azure ML and MLOps, with strong capability in feature engineering, model evaluation, and deployment
- Proven experience developing and iterating on ML prototypes to quickly validate business value
- Strong understanding of CI/CD pipelines for ML and real-world deployment strategies
- Ability to communicate complex technical concepts to both technical and non-technical stakeholders
- Previous experience in FMCG or supply chain industries is highly desirable
- Familiarity with recommendation systems, time-series forecasting or geospatial analytics is a bonus
- A collaborative mindset with the ability to thrive in a fast-paced, iterative environment
- Opportunity to work on high-impact projects and contribute to the development of cutting-edge technology
- Collaborative and dynamic work environment with experienced professionals
- Chance to develop your skills and expertise in a rapidly evolving field
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