Jobs at Property Finder

Position SummaryWe are looking for an experienced Data Scientist with deep expertise in machine learning, statistical modeling, and experimentation to join our innovative AI & Data Science team. The ideal candidate combines strong machine learning and statistical expertise with business acumen, translating complex data into actionable insights that drive strategic decisions.Key ResponsibilitiesDesign and implement advanced predictive and optimization models, leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.Build end-to-end analytical pipelines, from data extraction and feature engineering through to insight delivery and stakeholder presentation.Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.Cross-Team CollaborationPartner with the Data Platform and Engineering team to optimize model deployment and operational workflows.Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.Desired QualificationsEducation: Bachelor's or above in Mathematics, Computer Science, Data Science, or a related quantitative field.Experience: At least 4+ years in Data Science or Analytics roles with a demonstrable track record of business impact.Technical Skills:Working knowledge of advanced predictive modeling, optimization, scenario analysis, and statistical methodologies.Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning.Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning.Highly proficient in SQLExperience with experimental design, hypothesis testing, and A/B testing for data-driven product and business decisions.Good working knowledge of cloud platforms like AWS, GCP, or Azure.Soft Skills:Strong storytelling ability — translating complex findings into clear narratives for non-technical audiences.Effective communication and collaboration skills, particularly in cross-functional environments.Strategic mindset with the ability to translate business goals into data-driven initiatives.Why Join Us?Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.Collaborate with top talent across diverse teams and disciplines.Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution. Show more Show less

Position SummaryWe are looking for a highly experienced Data Scientist with foundational skills in Machine Learning Engineering, and Generative AI to join our innovative AI & Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms. A strong research mindset is essential to excel in this role.This position plays a critical role in shaping the future of AI-driven decision-making at Property Finder, driving data strategy, and delivering impactful AI solutions.Key ResponsibilitiesDesign and implement advanced predictive and optimization models, leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.Drive applied innovation in Large Language Models (LLMs), Generative AI, and Agentic AI systems, exploring and developing novel applications to enhance and automate user experience, improve lead qualification, personalized recommendations, content creation, or automation and automate workflows.Build end-to-end model development, including experimentation, rigorous evaluation, and deployment into production environments.Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.Continuously optimize model performance for scalability, efficiency, and real-world reliability.Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).Cross-Team CollaborationPartner with the Data Platform and Engineering teams to optimize model deployment and operational workflows.Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.Desired QualificationsEducation: Bachelor or above in Computer Science, Data Science, Machine Learning, or a related field.Experience: At least 3+ years in Data Science or MLE roles and foundational MLOps practices.Technical Skills:Working knowledge of advanced predictive modeling, optimization, scenario analysis, and statistical methodologies.Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning.Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning.Experience with API development and connecting AI systems to external platforms.Working knowledge in deep learning techniques, including CNNs, RNNs, and transformers.Hands-on experience in applied GenAI/LLMs/Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems.Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions.Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/CD workflows, and containerization tools like Docker.Soft Skills:Effective communication and collaboration skills, particularly in cross-functional environments.Strategic mindset with the ability to translate business goals into data-driven initiatives.Why Join Us?Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.Collaborate with top talent across diverse teams and disciplines.Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution. Show more Show less