Senior Data Scientist
Responsibilities
- check_circle Deliver business impact by developing and deploying world-class data science solutions across critical areas of the product and business.
- check_circle Build and implement models within AI-agentic environments that drive product performance — including Recommender Systems (collaborative filtering, content-based filtering), Ranking algorithms, Reinforcement Learning and Deep Learning (heterogeneous graph transformer).
- check_circle Drive velocity of delivery by efficiently scoping, prioritising, and executing projects while maintaining a high technical bar.
- check_circle Solve novel problems quickly and creatively, adapting new technologies and frameworks to emerging business needs.
- check_circle Partner with Product to co-create data-informed roadmaps, ensuring feature priorities align with measurable outcomes.
- check_circle Identify and tackle opportunities and risks across the business that can be addressed through data.
- check_circle Communicate clearly with senior stakeholders by translating complex technical problems into concise, digestible business terms.
- check_circle Mentor and lead other data scientists, analysts, and engineers, fostering a culture of collaboration, curiosity, and innovation.
- check_circle Proven record of building and implementing models at velocity to drive tangible business outcomes.
- check_circle Expertise in machine learning, applied statistics, and modern AI/ML techniques.
- check_circle Strong grasp of experimentation frameworks and designing for scalability and maintainability in production.
- check_circle Exceptional communication skills with a demonstrated ability to distil technical complexity for non-technical audiences.
- check_circle Deep understanding of product development cycles and how data science integrates into product decisions.
- check_circle Experience mentoring or leading a data science team.
- check_circle Strong coding skills in Python (or similar) and familiarity with key data frameworks and pipelines.
- check_circle Curious, proactive mindset with the ability to spot unseen opportunities and innovate under ambiguity.
Basic qualifications
We are looking for a Senior Data Scientist to build and implement cutting-edge models within AI-agentic environments to drive product performance. You will work closely with Product and cross-functional teams to shape the roadmap, identify opportunities where data can unlock growth and build scalable data products that deliver real value to our customers.
We are looking for someone to hit the ground running by delivering against an ambitious timeline to MVP and the architectural runway to build something that doesn't exist yet. You'll play a pivotal role in shaping how we use data to build smarter products, make better decisions, and accelerate growth. This is a hands-on, high-impact role where your models and insights will directly influence customer experience and business strategy. Candidates who have a demonstrable background in taking AI/ML data product to market will take preference above all else.
Benefits
- check_circle A competitive base pay
- check_circle Medical Benefits
- check_circle Discretionary incentive plan based on individual and company performance
- check_circle Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways
- check_circle Flexible work policy