14 set - Latina
Ntt
Overview
In this role you will lead data science initiatives within a client-facing, cross-functional environment. You will own end-to-end data science projects, from data wrangling and model development to deployment, collaborating with data scientists, engineers, product managers, and stakeholders. You will manage multiple projects, coordinate teams, and serve as the primary contact for client stakeholders, driving timely delivery and high-quality outcomes. The work spans Generative AI, cloud/hybrid ML, and productionized pipelines to generate business value in insurance-related domains.
Responsabilità
- 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
- 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
Requisiti fondamentali
- 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
- Unknown
- collaboration
- stakeholder management
- clear communication
- Python
- SQL
- Java
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