Data Scientist&Engineer

MSC Mediterranean Shipping Company is a global business engaged in the shipping sector. Present in 155 countries, MSC facilitates international trade between the world’s major economies, and among emerging markets across all continents. Headquartered in Geneva, Switzerland, since 1978, MSC is a privately-owned organisation driven by the Aponte family. Today, we continue to focus on caring for customers, employees and the environment.

From a one-vessel operation to a globally respected business we have an unfaltering commitment to people that have passion, creativity and willing to make a change.

MSC Technology Italy is the first division located in the national territory, complementing existing offices in Geneva (the Group’s headquarters), Warren (New Jersey, USA), and Chennai (India).

MSC Technology embodies Passion and a commitment to Continuous Evolution, strongly believing in Equal Opportunities and Caring for its People—ultimately fostering a sense of Family within the Company.

With over 3,000 employees, our Technology Department plays a pivotal role in driving business growth and elevating the quality standards across our functional lines.

Working within an international office and engaging in cross-country collaboration offers the opportunity to connect with individuals boasting diverse technical skills, backgrounds, cultures, and professional experiences. International travel not only enriches your understanding of business and languages within the ICT realm but also provides avenues for personal and professional growth.

In 2020, MSC Technology Italy was established as a technological division of MSC with the goal of creating a Center of Excellence to support the MSC Group’s business.

Do you recognize yourself? Then come work with us and be part of MSC’s family!

Data Scientist&Engineer

We are looking for a Data Scientist and Engineer to join our R&D team and contribute to the design and development of advanced event-driven pipelines while contributing to complex analytics, statistical modelling and machine learning solutions built on real-time data. The ideal candidate combines proven experience in designing extraction-transformation-loading flows on Microsoft Fabric with solid experience in mathematical modelling using Python libraries, translating complex business requirements into scalable data pipelines, analytical models and meaningful visualizations.

The role involves close collaboration with Software Engineers, Data Scientists, Product Managers, and Domain Experts to develop reliable, maintainable, and efficient end-user applications. You will participate throughout the software development lifecycle, from solution design to deployment, ensuring code quality, performance, and continuous improvement.

Key Responsibilities

• Design, develop near real-time, event-driven data pipelines on Microsoft Fabric leveraging Eventstream, Eventhouse and Lakehouse components.
• Develop serverless services using Azure Functions and handle event ingestion through Event Hubs.
• Implement data transformation using PySpark, Pandas, and Polars.
• Analyze large-scale datasets to identify patterns, anomalies and business insights through statistical analysis and mathematical modelling.
• Develop interactive dashboards and data visualizations using Vega-Altair, Plotly or similar frameworks.
• Cooperate with Software Engineers and Data Scientists in the team for end-to-end solutions.
• Participate in code reviews, testing, debugging, and continuous integration activities.
• Contribute to the evaluation and adoption of new technologies, frameworks, and development methodologies.

Qualifications & Experience

• Bachelor’s or Master’s degree in Data Science and Engineering, Mathematics for Engineering, Mathematics or a related technical field.
• Strong programming skills in Python.
• Experience designing data ingestion and transformation pipelines using Microsoft Fabric or equivalent cloud-based data platforms.
• Experience in the simulation and modelling of complex systems through machine learning, applied statistics or optimization algorithms.
• Familiarity with SQL databases, No-SQL and hybrid data storage solutions
• Understanding of algorithms, data structures, computational complexity, and object-oriented design principles.
• Experience with modern software development practices
• Strong problem-solving skills, effective communication abilities, and experience working in Agile/Scrum environments.
• Experience with classical machine learning algorithms, including Random Forests, Gradient Boosting, XGBoost, Support Vector Machines, and clustering techniques, is considered a plus.

Diversity and Inclusion

This job posting is open to all individuals, regardless of gender, age, ethnic origin, nationality, sexual orientation, gender identity, disability, or any other personal characteristic, in compliance with applicable laws and regulations on equal opportunities and inclusion (Italian Legislative Decree No. 198⁄2006 , as subsequently amended, and Italian Legislative Decrees No. 215⁄2003 and No. 216⁄2003).

In compliance with applicable pay transparency legislation, we provide the following information regarding the initial remuneration envisaged for this position.

The position will be classified within the Employee category, at one of the C2, C3, B1 or B2 levels under the Italian Metalworking Industry National Collective Bargaining Agreement (CCNL Metalmeccanico Industria).

The classification level and any additional remuneration components supplementing the base salary will be determined based on an assessment, carried out during the selection process, of objective and neutral criteria such as, by way of example, the candidate’s professional experience, technical skills, level of autonomy and the responsibilities required by the role.

What we offer

We offer a range of benefits including new Learning opportunities, a comprehensive Welfare System, Life and Health Insurance, Modern Workstation and Discounts within the MSC group.

Moreover, MSC Technology Italy fosters a culture of innovation and wellbeing by simultaneously pursuing various initiatives. These include Meetups, Technical and General Events such as Gaming Tournaments, Company Charity Initiatives and a Sustainability program designed to benefit all employees.

Our Company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.