> Markdown version of [/jobs/ext/1119360-data-scientist](https://www.wearedevelopers.com/jobs/ext/1119360-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Primis - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Continuous Integration, Information Engineering, DevOps, Monitoring of Systems, Apache Hive, Python (Programming Language), Machine Learning, Rapid Prototyping Process, Apache Spark, Machine Learning Operations - **Published:** July 2, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2850745737-2 ## About the Role * Proven ability to build and ship production-ready data science solutions using Python and the wider ML ecosystem * Deep practical knowledge of applied machine learning, spanning model development through to data engineering * Comfortable working across major cloud platforms (Azure, AWS or GCP) with hands-on exposure to tools like Spark, Hive or Redshift * A track record of leading cross-functional teams and communicating technical concepts to non-technical audiences * Experience with MLOps practices - CI/CD, model monitoring, DevOps integration ## Description We're partnered with a boutique financial consulting firm seeking experienced Data Scientists to join their growing data practice in London. Known for their collaborative culture and high-impact work with leading financial institutions, this is a rare opportunity to take ownership of complex data science challenges while shaping the direction of a high-performing team. You'll lead end-to-end delivery of machine learning solutions - from early proof-of-concept through to production - working alongside engineers, domain experts, and business stakeholders across the financial services sector. What you'll be doing: * Taking ownership of data science projects from initial concept and rapid prototyping through to live production deployment * Building and iterating on machine learning models that address real-world business problems across financial services * Partnering with engineering, business, and domain teams to bridge the gap between commercial goals and technical solutions * Serving as the go-to expert on ML system design, model tuning, and bringing solutions to production at scale ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Building the platform for providing ML predictions based on real-time player activity](https://www.wearedevelopers.com/videos/944-building-the-platform-for-providing-ml-predictions-based-on-real-time-player-activity) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)