Data Scientist

SERI Industrial Spa; Caserta; In loco; EUR 30.000 - 50.000; Tempo pieno

Descrizione del lavoro

A leading company in battery technology is seeking a Data Scientist to join their R&D team in Teverola, Italy. The ideal candidate will have a PhD in a relevant field and extensive experience in machine learning and data analysis. Responsibilities include developing data processing pipelines and optimising material properties. This full-time position offers competitive conditions, including a public healthcare system and company-managed pension schemes.

Servizi

Free healthcare based on the Italian public system

Company-managed pension schemes

Competenze

• PhD or experience in data science related to battery development at an industrial level.
• Strong knowledge in machine learning, programming, data analysis, and modelling.
• Experience in R&D projects.

Mansioni

• Identify and collect relevant data and develop data processing pipelines.
• Design, develop and implement models to optimise and predict material and battery properties.
• Data analysis and visualisation.

Conoscenze

Machine learning

Programming

Data analysis

Modelling of battery materials/processes

Formazione

PhD in Chemistry, Physics or Mathematics

Descrizione del lavoro

Would you like to join the European Energetic Transition?

FAAM is building a Gigafactory in Teverola for the production of cells, modules, and battery packs for Electric Vehicles, Energy Storage, Industrial, and Special applications. This is to be underpinned by a strong R&D Department.

In joining us you will take part in a very strategic project for the European lithium battery value chain.

We are looking for a Data Scientist with experience in data driven battery research and multi‑scale modelling. The candidate must have experience with machine learning, programming and computation. This position will make use of big data generated from the various processes within the R&D to make informed decisions and develop understanding, allowing for effective product development. This will include working across the electrochemical testing, formulation and characterisation team. The position will be located at the central site in Teverola, Italy. This position will be within the R&D Team.

We are looking for a dynamic, passionate, purpose‑driven professional who wants to help us in the deployment of one of the most important projects in Europe.

Key Responsibilities Include But Are Not Limited To

• Work with the R&D team to identify and collect relevant data and develop data processing pipelines.
• Design, develop and implement models (machine learning/physical) to optimise and predict material and battery properties.
• Data analysis and visualisation.
• Demonstrate scalability of new processes and materials.
• Collaborate with R&D and process teams to scale machine learning solutions for production environments.
• Integrate models into existing systems to enable real‑time decision‑making and control.
• Analyse data, present and make recommendations to management.
• Support management in the deployment of a Technology Roadmap – including (but not limited to) technologies, active materials and processing.
• Participate in European and global conferences and represent the company.
• Support the construction/improvement of the team.

Requirements

• PhD (Chemistry, Physics or Mathematics) or experience in data science, relating to battery development, at an industrial level.
• Strong knowledge in machine learning, programming, data analysis and modelling of battery materials/processes.
• Experience in R&D projects.
• Fluency in English (oral and written) is a MUST.
• Fluency in Italian (oral and written) is a PLUS.
• Ability to work under pressure, with flexibility and to manage tight deadlines.

Work conditions

• Location in Teverola, Caserta, Southern Italy.
• Live and work close to Naples, Costiera Amalfitana, Capri, and Rome.
• Stimulating work environment in a pleasant office setting alongside your team.
• Full‑time job.
• Salary to be defined with Management (negotiable).
• Competitive conditions, including a free healthcare system based on the Italian public system, and company‑managed pension schemes.
• Start date: ASAP, on‑site.

Useful Links

FAAM Website

State aid: Commission approves €3.2 billion public support by seven Member States for a pan‑European research and innovation project in all segments of the battery value chain: Link

For application send an email to : [e-mail]

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