Senior Data Scientist

Requirements

• Deliver business impact by developing and deploying world-class data science solutions across critical areas of the product and business.
• Build and implement models within AI-agentic environments that drive product performance — including Recommender Systems, Ranking algorithms, Reinforcement Learning and Deep Learning.
• Drive velocity of delivery by efficiently scoping, prioritising, and executing projects while maintaining a high technical bar.
• Solve novel problems quickly and creatively, adapting new technologies and frameworks to emerging business needs.
• Partner with Product to co-create data-informed roadmaps, ensuring feature priorities align with measurable outcomes.
• Identify and tackle opportunities and risks across the business that can be addressed through data.
• Communicate clearly with senior stakeholders by translating complex technical problems into concise, digestible business terms.
• Mentor and lead other data scientists, analysts, and engineers, fostering a culture of collaboration, curiosity, and innovation.

Benefits

• Competitive base pay
• Medical Benefits
• Discretionary incentive plan based on individual and company performance
• Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways
• Flexible work policy