Data Scientist

Serco; Ispra; In loco; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

A technology solutions provider is seeking a Data Scientist in Ispra, Italy, to support an EU agency. The role involves developing data mining and machine learning solutions, engaging in statistical analysis, and contributing to ETL processes. Candidates should have a BA/BS in a relevant field, and experience with SQL, R, and Python is essential. Communication in English is critical as well as the ability to work collaboratively. This is a full-time position focused on information technology.

Competenze

• Experience in statistical analysis and machine learning.
• Hands-on experience building ETL data pipelines.
• Knowledge in predictive and prescriptive analysis.

Mansioni

• Collect business requirements for data mining and ML solutions.
• Contribute to R&D of new statistical and machine learning models.
• Draft English documentation including scientific publications.

Conoscenze

Fluent English communication

Multi-disciplinary teamwork

Learning new programming languages

Formazione

BA/BS in Data Science or related technical disciplines

Strumenti

SQL

R

Python

Matlab

SAS

KNIME

Talend

Jupyter Notebook

MongoDB

Hadoop

Spark

Oracle PL/SQL

Descrizione del lavoro

Join to apply for the Data Scientist role at Serco

Serco is the preferred partner for European Institutions and International Organisations, offering ICT services and Contact Centre management across Europe. Our expertise extends from Information System support to consultancy under the government framework, supporting key entities such as the European Commission and Executive Agencies.

We are hiring a Data Scientist for an EU agency in Ispra, Italy and various locations around Europe.

Key Responsibilities

• Collect business requirement and support the team activities regarding the design and prototyping of data mining, machine learning and business intelligence solutions.
• Contribute to the research and development of new statistical and machine learning models. The main focus of this task is in the area of trade data analysis and anti-fraud.
• Develop software in one or more of the following languages: R, Python, SQL, Matlab, and SAS.
• Contribute to the testing of the implemented analytical functions.
• Prepare the required datasets by collecting, cleaning, integrating and transforming different source data (e.g. ETL).
• Draft documentation in fluent English. Documentation could include for example scientific publications, user manuals and technical description needed by technology transfer.
• Realise webinars modules to explain the use of implemented tools, prepare slides that can be used for trainings, and present the work done in meetings (English language).

Skills

• Ability to communicate fluently in oral and written English
• Capacity to work efficiently in a multi-disciplinary team
• Capacity to learn new programming languages

Specific Expertise

• Experience and understanding of statistical analysis
• Experience in Machine Learning (including Deep learning)
• Hands on experience building extract, transform, load (ETL) data pipelines (SQL-based, KNIME, Talend)
• Hands on experience with Jupyter Notebook or KNIME
• Hands on experience with large SQL databases and Oracle PL/SQL
• Knowledge of noSQL data management tools (NoSQL DB, MongoDB) and distributed processing tools (Hadoop, Spark)
• Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), trends/anomalies detection in datasets, recommendation systems

Qualifications

• A BA/BS in Data Science, Computer Science, Information Systems, Engineering, Math, Physics or other technical disciplines is desirable.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting and Government Relations Services

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