26 set - Latina
Ntt
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.
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
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
clear communication
Python
SQL
Java
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