Data Scientist / Senior Data Scientist – Credit Risk & Fraud Analytics

Company Description

Ready to make a difference? Experian has evolved into a global tech company specializing in data and analytics. We're passionate about unlocking the power of data to transform lives and create opportunities for consumers, businesses, and society. We're a member of the FTSE 30 and, for more than 125 years, we've helped economies and communities flourish.

Discover the Unexpected - Our 22k employees in 30+ countries believe the possibilities for you and the world are growing. We're investing in the future through new technologies, experienced people, and new ideas to help create a better tomorrow. We employ 'big-thinkers' that share our purpose #uniquelyexperian.

Job Description

Join Experian Italy's fast-growing Data Science team, where innovation meets real-world impact. We're looking for an experienced and motivated Data Scientist or Senior Data Scientist to develop and deliver analytical solutions that enable smarter decisions, especially in the financial services sector.

Responsibilities

• Design and deploy machine learning models and data-driven strategies for credit risk, fraud detection, and customer intelligence.
• Translate complex data into relevant insights and communicate findings to clients and team members.
• Collaborate with teams to understand needs and develop tailored data science solutions.
• Support pre-sales efforts by showcasing analytics capabilities and customizing solutions for clients.
• (For senior candidates) Lead projects and mentor junior team members.

Qualifications

• 2+ years of experience in data science related to credit risk, fraud analytics, or marketing analytics.
• Background in machine learning, predictive modeling, and statistical analysis.
• Proficiency with Python, R, SAS, or SPSS.
• Experience with cloud platforms like Databricks, Cloudera, or Snowflake.
• Proficiency in English (written and spoken).
• (For senior candidates) Ability to manage projects and lead teams.

Preferred Skills

• Knowledge or experience with Generative AI, LLMs, RAG, prompt engineering, and information retrieval.
• Familiarity with credit-related topics (e.g., issuing, monitoring, Bureau data) and regulatory frameworks (Basel, IFRS 9).

Benefits

Work on impactful projects shaping the future of financial decision-making. Be part of a diverse, collaborative team. Enjoy a flexible hybrid work environment with a comprehensive benefits package including health insurance, wellness perks, and more.

Additional Information

Our culture celebrates individuality. We focus on DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward, recognition, and volunteering. Recognized as a Great Place To Work in 24 countries, with awards like FORTUNE's Best Companies to Work for and a 4.4-star rating on Glassdoor. We are committed to equal opportunity and accommodating disabilities or special needs.