Senior Data Scientist - Pricing Team

Job Description: Omio is building the future of travel pricing by transitioning from manual, rule-based systems to AI-driven dynamic pricing to enhance revenue, efficiency, and competitiveness. As part of this transition, we are seeking an individual to develop cutting-edge solutions and drive the adoption of AI-driven pricing within the company. Main Tasks And Responsibilities: - Build Models: Develop machine learning models such as time series and RNNs to forecast demand and optimization systems for dynamic price recommendations. - Pilot AI Solutions: Design and implement a Proof of Concept (PoC) for dynamic pricing in a test market. - Evangelize AI Pricing: Advocate for the adoption of AI-driven pricing by demonstrating its value to key stakeholders. - Analyse Large Data: Utilize Omio's data and external factors like competitor pricing to optimize pricing decisions. - Drive Automation: Establish systems for real-time anomaly detection and automated price adjustments. - Collaborate: Work with Pricing Commercial, Product, and Engineering teams to integrate AI into business workflows and ensure smooth adoption. Qualifications: - Minimum of 3 years experience in building complex models and algorithms. - Proven track record of designing and deploying models in production, particularly for pricing or forecasting. - Strong communication and presentation skills to effectively explain technical concepts to non-technical stakeholders at a C-level. - Self-driven individual contributor with the ability to work autonomously. - Experience in developing production-ready AI systems from inception is highly desirable. Knowledge & Skills: - Passion for driving organizational change and inspiring teams to adopt data-driven approaches. - Excellent communication skills with stakeholders, including C-Level executives. - Focus on solving practical business problems rather than theoretical model-building. - Proficiency in Python, with expertise in data science libraries like pandas, NumPy, scikit-learn, TensorFlow, and PyTorch. - Familiarity with time-series forecasting, anomaly detection, and Bayesian modeling. - Experience in building low-latency or near real-time processing systems. Additional Information: Upon acceptance of a job offer, background screening will be conducted by Giant Screening in partnership with Omio. Consent will be obtained before any information is shared with the screening service. Omio offers a dynamic work environment where you can be part of shaping the future of travel pricing.,