Python jobs in United Kingdom
Senior Data Scientist - Remote, Build Data Platform
SF Recruitment
Equity Quant Researcher - Top Long-Short Equity Hedge fund
Octavius Finance
Solution Architect Space, Range, Display Management
Blue Yonder
Sr Associate Software Developer - Decisioning
SAS - Global
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Standard Chartered
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ITOL Recruit
Media Infrastructure Engineer
Warner Bros. Entertainment
SVP, Market Risk Quant — Bond Analytics Lead (Hybrid)
Jefferies
SVP, Market Risk Quant (Bonds - Traded Credit)
Jefferies
Software Engineering Manager – Machine Learning
Oxford Knight
Postdoctoral Research Associate in Genomic Data Science
Queen Mary University of London
Credit Risk Data Scientist: Lending Models & AI
Kount
Data Scientist / Model Developer - Commercial Lending
Kount
Senior Data Scientist - Remote, Build Data Platform
Job summary
A leading fintech company is seeking a Senior Data Scientist to establish and lead their data science capabilities. As their first permanent hire, you will build models and dashboards using financial data, influencing the company's data strategy. The role offers autonomy, a direct line to C-suite leadership, and the opportunity to shape the data function from the ground up. Candidates should have strong skills in Python, SQL, and Databricks and thrive in a startup environment. Fully remote work is available.
Benefits
Qualifications
- Experience as a Data Scientist in fintech or regulated environments.
- Proficient in Python, SQL, and Databricks.
- Ability to build predictive models and dashboards.
Responsibilities
- Build and scale data science foundations in Databricks.
- Create models and scorecards using financial data.
- Design reporting dashboards for business insights.
- Collaborate with various teams for data application.
Skills
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.