Senior Data Scientist – Consumer Twins

• Develop and deploy machine-learning models in production environments
• Work end-to-end across the data science lifecycle: problem definition, modelling, deployment and monitoring
• Analyse new and existing data sources to improve decision-making and model performance
• Design feedback loops that continuously improve outcomes and data quality
• Collaborate closely with engineers to deliver scalable, reliable model predictions
• Communicate technical insights clearly to non-technical stakeholders
• Partner with engineering, operational and commercial teams to take ideas from hypothesis through deployment
• Ensure models deliver real value once live

Requirements

• Solid experience working as a data scientist on real-world, production problems
• Strong Python skills or a similar language used in applied data science
• Experience with supervised learning and unsupervised techniques such as anomaly detection
• Exposure to cloud-based model training, deployment and automation
• Strong ownership and accountability for data science outputs
• Experience with large consumer datasets or high-traffic platforms is advantageous but not essential
• Right to work in the United Kingdom; visa sponsorship and relocation support are not available

Core Competencies

Demonstrates expertise in developing and deploying machine-learning models, with strong proficiency in Python and experience across the data science lifecycle. Capable of collaborating with cross-functional teams to ensure models deliver real value and improve decision-making.

Highest-signal resume keywords

• Machine-Learning Model Development
• Python Programming
• Supervised Learning Techniques
• Cloud-Based Model Deployment
• Data Science Lifecycle Management

ATS Optimization Keywords

Hard Skills

• Machine-Learning
• Data Analysis
• Model Deployment
• Anomaly Detection
• Data Quality Improvement
• Model Monitoring
• Data Science
• Statistical Analysis
• Predictive Modeling
• Data Visualization

Soft Skills

• Collaboration
• Communication
• Ownership
• Accountability
• Problem-Solving

Industry Keywords

• Data Science
• Production Environment
• Consumer Datasets
• High-Traffic Platforms
• Feedback Loops

Tools & Technologies

• Cloud Platforms
• Data Science Tools
• Version Control Systems
• Data Processing Frameworks
• Model Automation Tools

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