Laurea Matematica jobs in Italy

At XTEL, we excel in understanding large FMCG players. As a leading software provider of sales automation solutions for the Consumer Goods Industry worldwide, our mission is to partner with our customers to unlock growth through smart investment and optimize their promotional plans.

In this role, you will work with our clients to analyze, explore and apply Machine Learning algorithms, so that it can fit within our Analytics solutions. Your mission will be to find patterns within data, using various Artificial Intelligence techniques to analyze and draw insights from the data with the ultimate goal to transform the way our clients derive value from its data assets.

From data extraction, wrangling, and pre-processing, you will scrutinize the data thoroughly and ensure the proper automation and industrialization of this process. Update our product team with feedback from the client usage of our Analytics solutions.

We do propose several exciting career paths, from growing within the data science department and working in conjunction with our business advisors team. Our customers are international FMCG companies - if you are looking for an international exposure, this may be the right match for you!

• Analyze and preprocess complex data sets from various sources to prepare them for analytics solutions;
• develop, implement, and fine-tune Machine Learning models tailored to specific project needs;
• collaborate with the team to build robust and scalable data pipelines;
• participate in client meetings to discuss technical results and gather feedback;
• work together with the functional team involved in the project (business experts and project manager);
• provide technical support and mentorship to junior team members, promoting knowledge sharing within the team;
• work together with the product team to integrate developed solutions into our products;
• document processes and contribute to the standardization of analytics solutions.

• Bachelor’s or Master’s degree in STEM fields (Mathematics, Statistics, Computer Science, Engineering, or related);
• 2-5 years of relevant work experience in Data Science and Analytics;
• passion for Data Science (Machine Learning, Artificial Intelligence, Operations Research);
• strong knowledge of Python and main Machine Learning frameworks (e.g., scikit-learn, pytorch, pandas, numpy);
• experience with object-oriented programming;
• practical experience in developing, validating, and tuning Machine Learning models;experience with cloud services to store data, build automated pipelines, and run analytics/ML solutions;
• familiarity with development tools: VSCode or other IDEs, Jupyter notebooks;
• knowledge of git (push, pull, fetch, merge, etc.);
• experience with SQL for data manipulation and analysis;
• ability to work in multidisciplinary teams and communicate complex results clearly;
• strong analytical skills with a critical thinking attitude;
• proficient in Italian and English;
• permit to work in Italy without sponsorship.

• CPG / FMCG industry knowledge is an advantage;

• A challenging role in a fast-growing AI-driven revenue management company.
• A diverse and international team with strong ownership and a can-do mentality.
• Opportunities to contribute to the organization's growth and development.
• A cross-functional role spanning geographies and departments.
• Flexible working with hybrid (Bologna).

Our technology Hubis located in Casalecchio di Reno, Bologna, and we offer hybrid work arrangements.

If you have strengths to share, we’d love to hear from you. We value diverse backgrounds and experiences, so don’t hesitate to apply even if you don’t meet all criteria.

XTEL is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.