Data Scientist Senior - GenAI Solutions

In this role you will drive data science initiatives for clients and internal teams, applying Generative AI and ML at scale across cloud, hybrid, and on-prem environments. You will lead cross-functional collaboration, manage multiple projects, and serve as the main contact for client stakeholders, delivering high-quality solutions on time. You’ll own end-to-end data science work from data prep to deployment, shaping offerings in reinsurance advisory and related domains. This is a client-facing, impact-oriented role in a global services organization.

• Collaborate with data scientists, data engineers, ML engineers, product managers, business analysts, and stakeholders from internal teams and external clients
• Manage multiple projects simultaneously
• Lead and coordinate the Data Scientists involved in the projects
• Act as the main point of contact with client-side stakeholders
• Ensure that project tasks are delivered on time and executed to a high standard

• Experience of at least 3-5 years as data scientist
• Strong Python (mandatory) and SQL coding
• Knowledge of Java/Scala or C++/R is a plus
• Tensorflow and Pytorch knowledge with a focus over Computer Vision solutions
• Knowledge of ML solutions architecture and Generative AI pipelines
• Cloud and hybrid ML implementations
• Own the full stack execution of data science projects from data wrangling, model development, presentation, measurement to deployment
• Work with data engineers to produce fully productionized pipelines including data ingestion, cleaning, feature engineering and model training/prediction
• Conduct research and analysis into reinsurance and advisory products to augment industry-standard models and develop new market offerings
• Establish and maintain strong relationships with internal team members and external clients

• Collaborative mindset
• Strong stakeholder management
• Business acumen
• Python
• SQL
• TensorFlow