Data Scientist

Lottomatica; Roma; Ibrido; EUR 32.000 - 36.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid work

Company laptop

Ongoing training on hard & soft skills

Salary commensurate with experience

Descrizione del lavoro

Lottomatica in Rome, Italy, is seeking a Data Scientist with statistical expertise to join our Technology and Operations Department. You will design, validate, and deploy AI and ML solutions to enhance business processes and data assets.

Collaborating with Senior team members, you will contribute to the Data Platform, support data preparation, and monitor ML pipelines, including Generative AI applications, in a dynamic gaming group.

Competenze

• Bachelor's or Master's degree (Statistics, Mathematics, Computer Science, Data Science, Engineering or related)
• Interest in ML/AI and data analytics with understanding of common ML algorithms
• Basic data preparation, cleaning and EDA techniques
• Strong Python programming and data science libraries (Pandas, NumPy, Scikit-learn)
• Familiarity with PySpark, TensorFlow or PyTorch is a plus
• Good written and spoken English; strong analytical and problem solving skills

Mansioni

• Design, develop, and document AI solutions to improve business processes
• Develop, test, and validate ML models and statistical analyses; interpret results
• Contribute to evolution of Data Platform with integration and process improvements
• Assist in collecting, preparing, and enhancing company data assets
• Maintain and improve ML models in production
• Develop and monitor ML pipelines and AI solutions, including Generative AI and virtual agents
• Gather requirements with stakeholders and collaborate during design phases
• Foster knowledge sharing and continuous learning within the team

Conoscenze

Python programming

English proficiency

Data analysis

Team collaboration

Formazione

Bachelor's or Master's degree in a quantitative field

Strumenti

Pandas

NumPy

Scikit-learn

PySpark

TensorFlow

PyTorch

Descrizione del lavoro

Requisiti:

Cosa offriamo:

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We are the Lottomatica Group, leader in regulated gaming in Italy and one of the largest European operators, in all areas of activity: sports betting, online gaming and amusement machines. We offer our customers safe and quality gaming experiences, through all channels, putting responsibility and sustainability at the core of the business. Being in Lottomatica is much more than being part of a company: it means contributing to a great and responsible entrepreneurial project.

We are seeking a Data Scientist with statistical expertise to join our Technology and Operations Department.

Main Responsibilities:

• Support the team in designing, developing, and documenting Artificial Intelligence solutions to enhance business processes.
• Collaborate on the development, testing, and validation of Machine Learning models and statistical analyses, contributing to the interpretation of results.
• Contribute to the evolution of the Data Platform by supporting development, integration, and process improvement activities.
• Assist in collecting, preparing, and enhancing the company's data assets.
• Collaborate with the team in maintaining and improving Machine Learning models currently in production.
• Support the development and monitoring of Machine Learning pipelines and AI-based solutions, including Generative AI applications and virtual agents.
• Participate in requirements gathering and discussions with internal stakeholders, working alongside senior team members during the analysis and solution design phases.
• Work closely with the team to foster a collaborative environment focused on knowledge sharing, continuous learning, and continuous improvement.

Requirements:

• Bachelor's or Master's degree (or equivalent technical diploma with relevant background) in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related quantitative field.
• Interest in Machine Learning, Artificial Intelligence, and Data Analytics, with a basic understanding of common ML algorithms and their applications.
• Basic knowledge of data preparation, data cleaning, and exploratory data analysis techniques.
• Good programming skills in Python and familiarity with common data science libraries such as Pandas, NumPy, and Scikit-learn. Experience with PySpark, TensorFlow, or PyTorch is considered a plus.
• Basic understanding of statistical concepts and the ability to interpret analytical results and model outputs.
• Interest in expanding knowledge of Generative AI, Large Language Models (LLMs), and modern Machine Learning techniques.
• Good command of written and spoken English.
• Strong analytical and problem-solving skills, curiosity, willingness to learn, and the ability to work effectively in a collaborative team environment.

What you will find in Lottomatica:

• Opportunity to work in the largest betting and gaming company in Italy and one of the largest in the world;
• Work in a very dynamic environment and improve your skills while acquiring new ones;
• Being challenged to provide impactful solutions for large organisations and have a direct impact on their employees;
• Opportunity to participate in charity, legality and responsibility projects through engagement in Fondazione Lottomatica;
• A defined corporate DNA model in which Inclusion, Value of Diversity, Excellence and Collaboration are the pillars;
• Being part of the world's number one company in the industry for ESG commitment;

What we offer:

• Permanent contract and hybrid job opportunities;
• Company laptop;
• Ongoing training on hard skills and soft skills;
• Gross annual salary commensurate with experience from (da 32k a 36k).

Lottomatica implements a policy that guarantees equal opportunities and promotes diversity and inclusion, against all forms of discrimination. At Lottomatica we believe that each person is unique and we consider diversity as a source of personal and organizational enrichment. We strive every day for ours to be an open, safe and inclusive environment, where each person can be fully himself or herself regardless of gender, religion, sex, age, ethnicity, nationality, disability, marital status or sexual orientation.