Data Scientist / Senior Data Scientist – Credit Risk & Fraud Analytics
Experian
Roma
25
Scarso
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Azienda: Experian Roma
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 provide the latest analytical solutions that empower smarter decisions — especially in the financial services sector.
What You'll Do
As a necessary member of our team, you will contribute to the design and deployment of machine learning models and data-driven strategies that address real-world challenges in credit risk, fraud detection, and customer intelligence. You will report to the Southern Europe Analytics Director.
Your Responsibilities
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Develop, and validate predictive models using advanced statistical and machine learning techniques.
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Translate complex data into relevant insights and communicate them to clients and team members.
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Collaborate with teams to understand needs and shape tailored data science solutions.
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Contribute to pre-sales efforts by showcasing our analytics capabilities and customizing solutions for client needs.
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( For senior candidates) Lead projects and mentor junior team members.
Additional information
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward and recognition, volunteering. . . the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4. 4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Qualifications
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2+ years of experience in data science in credit risk, fraud analytics, or marketing analytics.
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Background in machine learning, predictive modeling, and statistical analysis.
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Proficiency with tools such as Python, R, SAS, or SPSS.
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Experience with cloud-based data platforms (e. g. , Databricks, Cloudera, and Snowflake).
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Proficiency in English (written and spoken).
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( For senior candidates) ability to manage projects and lead teams.
Good to have
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Knowledge or hands-on experience with Generative AI concepts, including LL Ms, RAG, prompt engineering, and information retrieval.
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Familiarity with credit-related topics (e. g. , issuing, monitoring, Bureau data) and regulatory analytics frameworks (“ Basel”, IFRS 9).
Why Join Us?
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Work on impactful projects that shape the future of financial decision-making.
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Be part of a collaborative,, and diverse team.
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Enjoy a flexible hybrid work environment.
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Great compensation package, bonus plan, and comprehensive benefits:
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Health insurance
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Lunch vouchers
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Wellness perks
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Career development opportunities
Additional Information
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward and recognition, volunteering. . . the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4. 4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
✔ Experian
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