• Uses best practices and traditional statistical/modeling techniques to develop and maintain rating, economic and other models as necessary and in consideration of the business goals of the model • Provide tools, educate and support state teams in the implementation of models and other decision-making support • Follows appropriate analyses to be conducted for projects to make recommendations to achieve corporate goals • With minimal direction plans, implements, manages, and/or contributes on projects that are up to moderate complexity and are small-to moderate scale using accepted project management standards • Forecasts short-term and long-term deliverables with assistance • Tracks own plan performance and project timeline and communicates and presents project status • Ensures project controls are in place throughout the lifecycle of the project within own tasks • Supports the development/ design of new plans, programs, processes, products up to moderate complexity • Assists in the development of communication strategies and materials to support new plans, programs, processes, products; solicits input from stakeholders • Participates in the evaluation of procedures and processes regularly and makes observations or suggests improvements • Contributes to market share growth and profitability by recommending changes to products, pricing, risk management • Understands standard market specific implications of business strategies • Assures proper execution of regulatory/legislative practices for Product Management • Understands and follows internal and external compliance requirements/standards • Trains/coaches team members or peers and actively shares expertise with peers

• Architect and implement generative AI and Agentic solutions using LLMs, diffusion models, and other cutting-edge techniques for text, image, and multimodal generation • Develop custom fine-tuning and prompt engineering strategies for foundation models to meet domain-specific needs • Explore innovative applications of generative AI in areas such as conversational agents, automated content creation, and citizen engagement platforms • Build scalable pipelines for model training, evaluation, and deployment on cloud and edge environments • Collaborate with product and engineering teams to embed generative AI capabilities into enterprise platforms • Conduct research and experimentation with emerging architectures (e.g., transformers, diffusion models, VAEs, GANs) to stay ahead of industry trends • Establish best practices for responsible AI, including bias mitigation, explainability, and ethical use of generative models • Communicate complex AI concepts to executives and non-technical stakeholders in a clear, actionable manner • Mentor junior data scientists and contribute to frameworks, tools, and reusable components for generative AI development.

• Develop predictive maintenance algorithms using machine learning techniques for time-series data. • Analyze sensor data streams to identify patterns that predict equipment failure. • Research and stay up to date with academic literature and state-of-the-art condition monitoring techniques, translating relevant advances into practical solutions. • Collaborate with engineers to improve data pipelines and enhance model accuracy. • Build scalable, real-time models for low-latency predictions. • Create diagnostic tools that enable data-driven maintenance decisions. • Work with the laboratory team to design experiments and develop failure datasets using real machinery to validate hypotheses, develop new models, and optimize existing ones. • Continuously refine models based on real-world performance, experimental results, and feedback.

• Own Analytics for the Book on Vio Domain • Be the analytics and data expert for Book on Vio (BoVio), supporting decision-making across product, commercial, and operational topics. • Partner closely with Product Managers to support the definition of OKRs, roadmaps, and priorities • Lead and mentor a small team of Product Analysts through regular coaching, feedback, and growth support • Support payment and fraud analytics, as well as some of our most exciting features like Deal Freeze and Split Booking • Collaborate with the Finance team to ensure accuracy and consistency of financial data • Work with the Customer Support team to measure performance and identify opportunities to improve operational efficiency • Support Product Managers in commercial decisions with partners like payment service providers, fraud prevention tools, and dispute resolution services • Communicate proactively and educate the rest of the company through insights & best practices • Hands-on support for one of the product teams in the domain • Work closely with one of the teams, joining their sprint rituals and stand-ups. • Perform in-depth analysis on user behaviour data to discover insights & optimise the user experience • Design, QA, analyse, and interpret A/B tests and translate results into clear, actionable insights for product and engineering stakeholders • Estimate the impact of product initiatives, supporting Product Managers in prioritising initiatives against expected impact • Define tracking and build and maintain data models and dashboards using dbt and Looker • Monitor key booking funnel metrics, proactively identify anomalies or issues, and collaborate with engineers to investigate and resolve them