Data Science
ITALY IT development
Job description
Intesa Sanpaolo è un gruppo bancario internazionale, leader in Italia e fra i primi 5 gruppi dell'area euro con oltre 20 milioni di clienti in Italia e all’estero. Estremamente innovativo è anche motore di crescita sostenibile e inclusiva, con impatto concreto sulla società e con un forte impegno per l’ambiente.
Scope and Purpose
We are looking for a skilled Data Scientist to join our team. In this role, you will develop new analytics models, monitor and improve the performance of existing ones. Your responsibilities will include:
· Continuous collaboration with colleagues from different business units.
· Find and explore different data sources to identify the most suitable ones.
· Analyse the data, evaluate its quality and discover hidden patterns.
· Perform appropriate feature engineering on the basis of business knowledge and data exploration insights.
· Find the most suitable models and train them on available data.
· Work in heterogeneous teams composed by scientists, engineers, and business experts.
· Manage simultaneous tasks.
· Communicate your results and present actionable conclusions to non-technical audience with effective spoken communication, visualization and writing
· Understand and analyse business needs to design solutions and define requirements coherently
· Conduct business and technical impact analysis of proposed solutions
· Work with engineering team to bring analytical prototypes to production
· Ensure Models are compliant with company polides and procedures and support company mission, values, and standards of ethics and integrity Recuired Experience
expetech
Experience Required
· 3-5 years in the same role
· Experience in Reinforcement Learning (eg. Q-Learnine, A3C)
· Experience in Complex Networks
· Experience in Stream Processing
· Experience with big data tools (Scala, Spark, Hive, Pig. Sooop, NoSoL*
· Experience with deep learning frameworks like Keras, TensorFlow or PyTorch
· Experience with Containers and API technologies Experience in Operational Research
· Experience in agile software development methodologies
· Experience in the Financial sector (eg. Banking, Insurance)
· Experience in large companies
Competenze, Conoscenze e Qualifiche richieste
· MSc or PhD in Data Science, Statistics, Engineering, Computer Science, Mathematics, Physics or related quantitative field
· Experience with main statistical modelling and machine learning techniques
· Expert in Python
· Experience in R
· Experience with data extraction tools (e.g. SAS Enterprise Guide)
· Experience with SQL
· Experience with software development processes (e .g. Git)
· Basic knowledge of technology to handle data
· Basic knowledge of project development steps: build, package and unit test
· Fluency in English (both speaking and writing)
All the following will be appreciated but none is strictly required:
· Experience in Text Mining and, in particular Natural Language Processing (eg. topic modelling, sentiment analysis, speech to text, embedding models, semantic analysis)
· Experience in Image Processing (eg. image classification, item recognition, segmentation) Experience in Deep Learning (eg. Wide and Deep Neural Networks. Recurrent Neural Networks.
· Convolutional Neural Network. Generative Adversarial Networks)
Entra a far parte di una realtà internazionale e innovativa. Il futuro non si aspetta, si sceglie!
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