Top Data Science Jobs in Rome

Lead end-to-end delivery of multiple software projects by creating and managing plans, running agile ceremonies, tracking KPIs, coordinating distributed teams and stakeholders, mitigating risks, and ensuring on-time delivery using project management tools (Linear).

Lead GTM strategy and product positioning for key products, create messaging and content, run campaigns and launches, analyze market and competitive trends, and collaborate cross-functionally to drive adoption, pipeline growth, and customer engagement.

The Director RWD Strategy leads the implementation of real-world data initiatives in Europe, managing partnerships and proposal development while ensuring compliance with data use agreements.

Remote role for ML/AI experts to assess AI-generated content, craft and answer advanced technical prompts, evaluate model responses for accuracy, relevance, and clarity, identify errors or hallucinations, and provide feedback to improve AI systems.

As a Software Engineer, you will design and develop applications, write clean code, engage in code reviews, optimize systems, and explore new technologies in a remote team.

The role involves designing AI solutions, developing machine learning models, collaborating with clients, and participating in presales activities.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

Design, develop, and deploy production-grade ML and AI solutions including LLM fine-tuning, RAG architectures, NLP pipelines, time-series forecasting, supplier risk and anomaly detection, scalable data pipelines, and RESTful integrations with enterprise systems.

Support design and implementation of AI solutions (ML models, NLP, computer vision). Collaborate with senior team members, assist in presales, stay current with AI trends, and participate in small client projects to deliver practical generative AI solutions.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.

Lead hands-on credit-risk analytics: validate anonymized enterprise data, build PD/delinquency/scorecard models, establish model-validation and documentation, define features in SQL/dbt/Python, prototype a natural-language insight layer, and lead a small delivery pod while presenting findings to executives.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.