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# Senior Data Scientist- Reading

- **Company:** Quant Capital
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Data Warehousing, Apache Hadoop, Python (Programming Language), Machine Learning, NoSQL, Systems Development Life Cycle, SQL Databases, Unstructured Data, Apache Spark, Production Code, Data Analytics
- **Published:** August 19, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2933686709-2

## About the Role

deploying them into production.In addition to Python you should also be familiar with at least one compiled language such as Java or C#.They are growing massively with clients and internal infrastructure moving to the cloud as well as Infrastructure as code.The Data Scientist should have:·Demonstrable hands-on experience in deploying and maintaining machine learning models in production environments·Processing massive amounts of structured and unstructured data using Spark/SQL/Hive·Familiar with offline (batch) and online (live/stream) data pipelines·Writing production code in Python·Understanding the full software development life-cycle (conduct data analysis and build large-scale machine-learning models/pipelines)·Exposure to the state-of-the-art data analytics products and solutions·Carrying out A/B test experiments·Experience in Big Data technologies (Hadoop, Spark)·Experience in data pre-processing, Machine Learning, and data visualisation·Experience with large relational and NoSQL

## Description

Python Data Scientist - Fintech80,000 Plus BonusQuant Capital is urgently looking for a Senior Data Scientist to join or well known Fintech50 client.Our client is a well-known cloud based fintech in the global payments and e invoicing space. They are a tech firm driven buy large scale data with huge enterprise clients.You will be joining a team that has built up an internal data warehouse serving multiple lines of businesses in the organization. A rapidly growing code-base, trained upon the data warehouse, is delivering descriptive and predictive business insights.The next step of this journey is to bring the machine learned models directly into production environments as part of the Data Science and Machine Learning as a Platform initiative. Your chief responsibilities will be to develop further client facing machine learning use cases across multiple lines of businesses and to oversee the end-to-end pipeline of transforming the selected use-cases into performance code and


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