Senior Data Scientist

• Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling.
• Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems.
• Bring your models to production and optimise for inference in edge computing environments.

• 3-5+ years implementing advanced data science solutions in a commercial setting.
• MSc in Computer Science, Machine Learning, or a related field.
• Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt).
• Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting.
• Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code.

Desired Skills (Bonus Points):

• Strong practical understanding of retail analytics including consumer segmentations, personalisation systems, campaign effectiveness and media measurement.
• Experience with recommender systems and/or behavioural AI.

What We Offer:

• Opportunity to build technology that will transform millions of shopping experiences
• Real ownership and impact in shaping our product and company direction
• A dynamic and collaborative work environment
• A chance to work with cutting-edge technologies and solve challenging problems
• Competitive compensation
• Equity in a rapidly growing company

We are a VC-backed startup focused on behavioural AI, currently in stealth. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and Generative AI. Our platform is designed from the ground up - no legacy, no patchwork systems - just a clean slate and a clear vision. Our mission is to build products that customers love by harnessing cutting-edge AI to transform their shopping experience.