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Data Scientist

Snam is Europe’s leading operator in natural gas transport and storage, with an infrastructure capable of delivering the transition to hydrogen.

Snam operates a transport network of approximately 41,000 km between Italy, Austria, France, Greece and the United Kingdom and 3.5% of the world’s storage capacity. It is among the top ten Italian listed companies by market capitalization.

With 80 years of experience in the development and management of networks and plants, Snam guarantees security of supply and promotes the energy transition across territories. Besides transport and storage, the company is also one of the main operators in LNG regasification and has a presence in Asia, Middle East and North America.

Snam is committed to upgrading its infrastructure to meet hydrogen-ready standards, and develops integrated projects along the green gas value chain, with investments in biomethane, hydrogen, sustainable mobility and energy efficiency. It also contributes to creating new green spaces through a benefit company that carries out forestry projects.

Snam has set itself a net zero target on Scope 1 and 2 CO2 equivalent emissions by 2040 as well as a target for indirect Scope 3 (subsidiaries, suppliers) emissions reduction by 2030.

Data Scientist

 

Do you want to be part of a network that unites and supports?

 

Within the Digital Transformation & Technology Department that deals with demand collection and management in the field of Data Science & Machine Learning (definition, conception, data preparation and implementation of projects and algorithms) we are looking for a brilliant resource that, in support of the "Artificial Intelligence, Machine Learning & Automation" team, will mainly deal with:

• Support the Manager of the "Data Science & Machine Learning" team in identifying how to leverage business data to generate business value

• Develop Machine Learning models and ad-hoc algorithms to create Forecasting, Natural Language Processing, Computer, Vision solutions

• Data Analytics & Insights activities in order to extract useful information for the continuous improvement of business processes

• Develop processes and tools to monitor and analyze the performance and accuracy of models and solutions implemented

 

Must have

• At least 3 years' experience as Data Scientist

• Experience in the implementation of Advanced Analytics models (in industrial and university fields)

• Experience in at least one of the following areas: Forecasting and Optimization, Natural Language Processing, Computer Vision

• Degree in: Computer Science, Mathematics, Statistics, Engineering

• Excellent knowledge and programming experience in at least one of the following languages: Python, SAS, SQL

• Skilled with the fundamentals of Data Mining and Data Exploration

• Good understanding of the fundamentals of Machine Learning and the main algorithms: clustering, decision tree learning, deep learning

• Good knowledge of statistical techniques such as: classification, regression, statistic tests

• Excellent knowledge of English

 

Nice to have

• SAS certifications, Azure Machine Learning

• Participation in competitions: Kaggle, Hackathon

• Knowledge of the R language

 

Soft Skills

• Excellent analytical and problem-solving skills

• Excellent teamworking skills and in organizing your own work independently

• Good interpersonal and communication skills

We are committed to creating a safe and inclusive workplace, based on mutual respect and the appreciation of diversity, offering equal job opportunities to every qualified candidate.

In general, candidates, whose profile is in line with the open position, will be contacted and will receive feedback within 2/3 months.

You can also apply by sending an e-mail to carriere@snam.it but applications made through the Snam Career portal will be preferred.

For further information, please contact Irene Bargellini; carriere@snam.it; tel +39 02.37039014.

Job Location:  SAN DONATO MILANESE
Country/Region:  IT
Contract Type: 
Function:  DIGITAL TRANSFORMATION & TECHNOLOGY
Work experience:  1 - 3 Years


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