Data Scientist
Role details
Job location
Tech stack
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 to develop and provide the latest analytical solutions that empower smarter decisions - especially in the financial services sector.
You will achieve agreed Recurring revenue and New Business targets by developing new and repeat business opportunities from our customers. You will be also responsible for developing relationships with clients and connecting with main business executives and team members to communicate our value proposition. You will report to the Head of Analytics in EMAP
You'll have opportunity to:
- Achieve a total revenue target and a new business target.
- Identify important contacts within existing accounts; cross selling and upselling accordingly.
- Demonstrate an understanding of Experian's proposition and be experience communicating product benefits appropriate for each prospect this in the context of client/s needs.
- Develop account plan to support revenue goals
- Validate account plan with client, build and implement contact strategy.
Requirements
- 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).
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).
Benefits & conditions
- Great compensation package and bonus plan
- Core benefits including Private Health Care and Experian wellness program
- Flexible work environment, hybrid model of teleworking
- Flexible time off including volunteer time off, personal leaves and paid holidays