Senior Data Scientist – Personalisation & E-commerce Intelligence

• About Selectika
• Selectika is an AI technology company transforming how fashion and retail brands help customers discover and purchase products online.
• Our technology is already used by leading international brands to improve product intelligence, discovery, recommendations and styling experiences. We are now expanding our platform and looking for a senior data professional to help shape the next generation of intelligent e-commerce experiences.
• The Role
• We are looking for a hands-on Senior Data Scientist with strong experience in personalisation, recommendation systems, behavioural data or customer journey optimisation.
• You will work closely with our product and engineering teams to design the data foundations, models and experimentation frameworks behind new customer-facing capabilities.
• This is a product-building role, not a traditional reporting or BI position. You will help turn complex behavioural and product data into measurable improvements in the online shopping experience.
• Key Responsibilities
• Design data frameworks for understanding digital shopping journeys.
• Define the events, signals and data structures required to support personalisation.
• Develop approaches for interpreting customer behaviour and intent.
• Build and improve recommendation, ranking and decisioning methodologies.
• Combine behavioural, product and contextual data to support customer-facing experiences.
• Design and evaluate A/B tests and other controlled experiments.
• Define performance metrics and measurement methodologies.
• Work with engineering to take data-science capabilities into production.
• Identify data-quality, privacy, scalability and performance requirements.
• Communicate findings and recommendations clearly to product, engineering and business stakeholders.
• What We’re Looking For
• Significant experience in data science, personalisation, recommendation systems, search, ranking or customer journey analytics.
• Proven experience building data products or models used in production.
• Strong Python and SQL skills.
• Experience working with event-based behavioural data.
• Strong understanding of experimentation, A/B testing and performance measurement.
• Ability to translate business and product challenges into practical data solutions.
• Strong product thinking and commercial awareness.
• Ability to work independently in a fast-moving, early-stage environment.
• Excellent communication and collaboration skills.
• Strong Advantages
• Experience in e-commerce, retail, fashion or marketplaces.

Experience with recommendation or ranking systems

Experience working with large product catalogues

• Knowledge of real-time data pipelines and event-tracking architectures.
• Experience with customer data platforms, vector databases or machine-learning infrastructure.
• Understanding of attribution, first-party data and privacy-by-design.
• Previous experience establishing a new data capability or technical framework.
• What Success Looks Like
• You will help Selectika establish a robust and scalable data foundation for its next stage of product development, introduce a structured experimentation methodology, and turn behavioural and product data into measurable customer and commercial value.
• Why Join Selectika?
• This is an opportunity to take a central role in the development of an innovative AI platform already working with major international fashion and retail brands.
• You will work directly with the company’s leadership, product and technical teams, influence core product decisions, and help build technology that changes how people discover and shop for products online.
• If you have built personalisation, recommendation or behavioural intelligence products and are excited by the opportunity to shape a new category in e-commerce, we would love to hear from you.