Data Scientist

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.

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

• 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/Perks:

• 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

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