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Senior Scientist Italy Jobs

3 Job Offers

Data Scientist Senior - GenAI Solutions
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Senior Data Scientist sought for GenAI Solutions in Milan, Italy. You will lead full-stack ML projects, from data wrangling to deployment, leveraging Python, TensorFlow, and PyTorch. Requires 3-5 years’ experience with Generative AI pipelines and cloud/hybrid implementations (Azure/GCP). Drive bu...
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Italy , Milano
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Not provided
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NTT DATA
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Until further notice
Senior Data Scientist GenAI
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Join Prima's AI team in Milan as a Senior Data Scientist GenAI. Lead end-to-end ML & GenAI initiatives to transform insurance operations like claims and underwriting. Apply your strong Python skills and 3+ years' experience to build impactful solutions. Enjoy flexible remote work, private healthc...
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Location
Italy , Milan
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Not provided
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Prima
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Until further notice
Senior Data Scientist
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Join NTT DATA as a Senior Data Scientist in Milan. Leverage your expertise in Python, SQL, and machine learning to drive innovative data solutions and implement generative AI. Collaborate with cross-functional teams to lead projects and enhance business intelligence. Enjoy a supportive work envir...
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Location
Italy , Milan
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Salary
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice

About the Senior Scientist role

Senior Scientist jobs represent a pinnacle of technical expertise and research leadership across industries ranging from technology and healthcare to environmental science and pharmaceuticals. Professionals in these roles are distinguished by their ability to independently drive complex, high-impact projects that push the boundaries of their field. Unlike junior or mid-level scientists, a Senior Scientist is expected to not only execute advanced research but also to define the strategic direction of projects, mentor junior team members, and translate scientific findings into tangible business or societal value. The core of the role involves designing and overseeing rigorous experiments, developing novel algorithms or methodologies, and analyzing large, often unstructured datasets to extract actionable insights.

In the tech sector, this frequently means architecting and deploying sophisticated machine learning models, from deep learning and natural language processing to reinforcement learning, to solve problems at scale. In life sciences or healthcare, it may involve designing clinical study protocols, validating diagnostic tools, or leading drug discovery efforts. A common thread across all Senior Scientist jobs is the responsibility for the entire lifecycle of a research initiative: from hypothesis generation and experimental design, through data collection and analysis, to the communication of results through publications, patents, or executive presentations. These professionals are also the bridge between pure research and practical application, ensuring that innovations are robust, scalable, and aligned with organizational goals.

The typical requirements for these positions are stringent, usually demanding a PhD in a relevant scientific discipline such as computer science, statistics, biology, chemistry, or engineering, coupled with several years of post-doctoral or industry experience. Essential skills include deep proficiency in programming languages like Python or R, mastery of statistical analysis and experimental design (including A/B testing), and a strong publication record. Beyond technical acumen, Senior Scientists must possess exceptional problem-solving abilities, strategic thinking, and the capacity to lead cross-functional teams. They must be excellent communicators, capable of explaining complex scientific concepts to non-experts and influencing key decisions.

Ultimately, Senior Scientist jobs are for those who want to be at the forefront of discovery, shaping the future of their field while delivering measurable results.