Data Scientist / Senior Data Scientist â Credit Risk & Fraud Analytics
Data Scientist / Senior Data Scientist â Credit Risk & Fraud Analytics
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Job Description
Join Experian Italys fast-growing Data Science team where innovation meets real-world impact. Were 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 Youll 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
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.
Additional information
Our uniqueness is that we celebrate yours. Experians 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. Experians 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 Experians 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 :
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.
Good to have
Knowledge or hands-on experience with Generative AI concepts including LLMs RAG prompt engineering and information retrieval.
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
Lunch vouchers
Wellness perks
Career development opportunities
Additional Information :
Our uniqueness is that we celebrate yours. Experians 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. Experians 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 Experians 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
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
