We're looking for a Data Scientist to build and deploy machine learning models that improve pricing, lead scoring, and listing quality across our property platform. You'll own the end-to-end model lifecycle, from feature engineering and experimentation through to production, working closely with engineering and business teams to deliver measurable impact.
Key Responsibilities
- Develop predictive and optimisation models using machine learning and statistical techniques.
- Build, deploy, and monitor production models on AWS (SageMaker, Lambda, ECS).
- Design model evaluation frameworks and support A/B testing initiatives.
- Partner with engineering to ensure scalable, reliable, and high-performing deployments.
- Monitor model performance, data quality, and drift to drive continuous improvement.
Requirements
- Bachelor's degree in computer science, Data Science, Mathematics, or a related field.
- 4+ years of experience in Data Science, Machine Learning, or Analytics.
- Strong Python, SQL, and machine learning experience (Scikit-learn, PyTorch, TensorFlow).
- Hands-on experience with feature engineering, model tuning, and evaluation.
- Experience deploying ML solutions on AWS.
Nice to Have
- GenAI and prompt engineering experience.
- Experience with SHAP or other explainability tools.
- Background in NLP or Computer Vision.
Soft Skills
- Strong communication and stakeholder management skills.
- Ability to translate business challenges into practical data solutions.
- Commercially minded with a focus on driving measurable outcomes.
#LI-KM1
