Data Scientist Python Sql
Pubblicato il 17-09-2026 - Client Server in Milano
Data Scientist (Python SQL) Milan / WFH to 65,000Opportunity to progress your career at a successful car insurance company that puts technology and engineering at the core of everything they do.
The company's platform is highly complex as it processes millions of data points to provide a comprehensive and accurate insurance quote.
As a Data Scientist, you will be joining the company's Pricing team where you will design and build the proprietary predictive technology in areas such as, prediction of future claims, renewal probability, price demand and portfolio value optimisation.
You will seek to implement new technologies to solve complex problems that arise and will be encouraged to achieve team goals in an innovative way, suggesting new ideas to generate value for the company.
There' a supportive team environment with lots of learning and self-development opportunities.
Location / WFH:
The company is a big advocate of flexible working and prides itself on DEI; you can work from home most of the time,
meeting up with colleagues in the Milan office 1-2 days a week; you can also work at times that suit you.
About you:
- You are degree educated in a STEM subject such as Data Science, Statistics, Mathematics, or Physics
- You have experience within Data Scientist and have a good understanding of key data analysis libraires
- You have strong Python programming experience
- You have strong SQL skills
- You have experience with Machine Learning algorithms and applying them in line with industry best practice
- You have strong problem solving and analytical skills
- You are fluent in English and ideally Spanish (although this is not essential)
- You have excellent communication and collaboration skills
What's in it for you:
As a Data xysqume Scientist (Python SQL) you will earn a competitive package:
- Up to 65,000 salary
- Workplace nursery scheme
- Enhanced maternity package
- 25 days holiday plus ability to buy or sell 5 days p/year + extra "duvet day"
- Pension, Priva