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

Reposted Yesterday
Be an Early Applicant
Rome
In-Office
Junior
Big Data • Marketing Tech • Analytics
The Role
The Data Scientist will develop machine learning models addressing credit risk and fraud detection, translating data insights and collaborating with teams to tailor solutions.
Summary Generated by Built In
Company Description

Ready to make a difference? Experian has evolved into a global tech company and specialized 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 – and we're not done.

Discover the Unexpected - Our 22k amazing 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 so we can help create a better tomorrow. To do this 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 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

  • 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. 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

  • 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. 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

Top Skills

Cloudera
Databricks
Python
R
SAS
Snowflake
Spss
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The Company
HQ: Costa Mesa, CA
16,292 Employees
Year Founded: 1980

What We Do

Experian unlocks the power of data to create opportunities for consumers, businesses and society.

During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity.

We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime.

For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done.

Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow.


About Experian:

Bringing data to life requires creativity, passion, flexibility and expertise.

We want you to share in our success. That's why we offer rewards that recognise great performance.

Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career.

Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.

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