26 set - Cosenza
Ntt Data
Overview 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.
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 Requisiti fondamentali 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
27 set - Genova
MedTug
27 set - Verona
Oniverse
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BIP
27 set - Bologna
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