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

Experian; Roma; In loco; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

A leading data analytics company in Italy seeks an experienced Data Scientist or Senior Data Scientist to join their innovative team. The successful candidate will develop predictive models and provide insights to enhance financial decision-making. Key qualifications include 2+ years of experience in data science, proficiency in Python or R, and strong communication skills in English. Enjoy a flexible hybrid work environment with a competitive compensation package, including health insurance and wellness perks.

Servizi

Health insurance

Wellness perks

Competenze

• 2+ years of experience in data science in credit risk, fraud analytics, or marketing analytics.
• Background in machine learning, predictive modeling, and statistical analysis.
• Proficiency with tools such as Python, R, SAS, or SPSS.
• Experience with cloud-based data platforms (e.g., Databricks, Cloudera, and Snowflake).
• Proficiency in English (written and spoken).

Mansioni

• Develop and validate predictive models using advanced statistical and machine learning techniques.
• Translate complex data into relevant insights and communicate them to clients and team members.
• Collaborate with teams to understand needs and shape tailored data science solutions.
• Contribute to pre-sales efforts by showcasing our analytics capabilities and customizing solutions for client needs.
• Lead projects and mentor junior team members.

Conoscenze

Data Science

Predictive Modeling

Machine Learning

Statistical Analysis

Python

R

SAS

SPSS

Cloud-Based Data Platforms

English

Descrizione del lavoro

Overview

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.

Responsibilities

• Develop, and validate predictive models using advanced statistical and machine learning techniques.
• Translate complex data into relevant insights and communicate them to clients and team members.
• Collaborate with teams to understand needs and shape tailored data science solutions.
• Contribute to pre-sales efforts by showcasing our analytics capabilities and customizing solutions for client needs.
• (For senior candidates) Lead projects and mentor junior team members.

Qualifications

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

Nice to have Knowledge or hands-on experience with Generative AI concepts, including LLMs, RAG, prompt engineering, and information retrieval.

Topics Familiarity with credit-related topics (e.g., issuing, monitoring, Bureau data) and regulatory analytics frameworks (“Basel”, IFRS 9).

Why Join Us?

Work on impactful projects that shape the future of financial decision-making.

Be part of a collaborative, and diverse team.

Enjoy a flexible hybrid work environment.

Great compensation package, bonus plan, and comprehensive benefits:

• Health insurance
• Wellness perks

Additional Information

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 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.

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