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Senior Data Scientist - Agentic AI
Skills
Artificial IntelligenceData ScienceEngineeringEnglishMachine LearningMarketingNatural Language Processing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Proven experience delivering machine learning solutions end to end in production ideally in a marketplace or customer-facing product environment
- Strong experience with behavioural and customer data including segmentation lifecycle modelling scoring search or recommendation systems
- Strong Python and SQL skills with the ability to work across modelling and data preparation
- Experience working with cloud platforms GCP preferred and AWS also welcome and understanding how data pipelines are built and maintained
- Demonstrated ability to define problems clearly engage stakeholders and communicate impact in commercial environments
- Conversational-level English language skills
Nice to have
- End-to-end ownership
- Commercial mindset
- Structured problem-solver
- Cross-functional communicator
- Ambiguity comfort
- Customer-focused
Day to day
- Build and own machine learning powered features that improve the customer app and marketplace experience
- Shape ambiguous product ideas into clearly defined problems then model experiment deploy and monitor production systems
- Work cross-functionally with Product Engineering Marketing and Pricing while communicating trade-offs and business impact
Hiring process
- Submit your application and CV in English
- AI review matches skills to the role
- Recruiters and hiring managers make the final decision