Data Scientist Senior

IBM; Segrate; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading technology company is seeking a Senior Data Scientist to enhance their AI capabilities. You will lead projects, manage the full cycle of data science tasks, and collaborate with various stakeholders. The ideal candidate has 3-5 years of experience, strong Python and SQL skills, and knowledge of Generative AI and ML techniques. This is a great opportunity for those looking to drive efficiencies and innovate in the data science field.

Competenze

• 3-5 years of experience as a data scientist.
• Strong experience in Python and SQL is mandatory.
• Knowledge of ML solutions architecture and Generative AI pipelines.

Mansioni

• Lead multiple projects and connect with stakeholders.
• Own the full stack execution of data science projects.
• Establish relationships with internal team members and external clients.

Conoscenze

Strong Python

SQL coding

Generative AI

Machine Learning

Deep Learning

Cloud ML implementations

Strumenti

Tensorflow

Pytorch

Java

Scala

C++

R

Descrizione del lavoro

The ideal candidate as Senior Data Scientist in NTT DATA will have a mix of skills including Generative AI hands‑on capability (preferably on Azure / GCP and on‑premise) engineering best practices, statistical expertise, Machine and Deep Learning skills and a strong business sense.

The Senior Data Scientist will work with fellow data scientists, data engineers, ML Engineers, product managers, business analysts, and stakeholders from other internal groups and from external clients.

He / She will be responsible for multiple projects, leading the Data Scientists and connecting with the stakeholders on client’s side, to ensure that tasks are on time and well executed.

Required Skills

• 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;
• Incorporate new, cutting edge business intelligence, machine learning, and alternative data practices into wider organization to drive efficiencies and generate revenue;
• 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