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Data scientist / senior data scientist – credit risk & fraud analytics

Nottingham (Nottinghamshire)
Experian
Data scientist
Posted: 9h ago
Offer description

Experian Group

Nottingham

GBP 40,000 - 70,000

Be among the first applicants.

7 days ago

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 analytical solutions that empower smarter decisions, especially in the financial services sector.


What You'll Do

As a key team member, you will contribute to designing and deploying machine learning models and data-driven strategies to address 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 effectively to clients and team members.
* Collaborate with teams to understand needs and shape tailored data science solutions.
* Contribute to pre-sales efforts by showcasing analytics capabilities and customizing solutions for clients.
* (For senior candidates) Lead projects and mentor junior team members.


About Experian

Experian is a global tech company specializing in data and analytics. We are passionate about unlocking the power of data to transform lives and create opportunities. With over 125 years of experience and a presence in 30+ countries, we focus on innovation and diversity, fostering a culture of inclusion and growth.


Experience and Skills

* At least 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 tools such as Python, R, SAS, or SPSS.
* Experience with cloud-based platforms like Databricks, Cloudera, or Snowflake.
* Fluent 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, LLMs, RAG, prompt engineering, and information retrieval.
* Familiarity with credit-related topics and regulatory frameworks like Basel and IFRS 9.


Why Join Us?

* Work on impactful projects shaping the future of financial decision-making.
* Be part of a collaborative, diverse, and innovative team.
* Enjoy a flexible hybrid work environment.
* Competitive compensation, bonus plans, and benefits such as health insurance, lunch vouchers, wellness perks, and career development opportunities.

Our culture celebrates your uniqueness. We prioritize DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, recognition, and volunteering. Recognized as a Great Place To Work in 24 countries, FORTUNE Best Companies, and Glassdoor 4.4 Stars, we strive to create a supportive environment.

We are proud to be an Equal Opportunity employer. We believe diversity drives our success, and everyone can succeed and bring their whole self to work. If you need accommodations, please let us know.

Interested in making a difference? Discover more about working at Experian and our culture on our Careers Site.

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