Data Scientist

Salary: £55-75k

About Quix

Our mission is to help developers use live data in their applications, faster.

The use of event streaming is booming. Organisations are in a race to become data-driven, but working with live data-in-flight remains difficult, time-consuming and costly.

Our innovative developer-first platform enables developers and enterprise to build, test and deploy live models and services directly on Kafka, fast.

With built-in scale, efficiency and resilience, our unique Stream SDK supports time-series data, events, metadata and binary blobs, integrating seamlessly into the application stack to deliver an end-to-end platform that developers love, in minutes.

Quix is adopted by developers across the video game, racing, manufacturing, automotive, health and telco industries.

Our team rapidly developed into a remote-first organisation during 2020 with people now living and working across the world.

We are building a category defining platform which will launch a new data-driven epoch.

Join us and bring your passion!


As a data scientist you will help develop products that developers love to use by building and delivering features for the platform. You will:

  • Adopt the role of customer zero, working closely with engineering and design to create new product features across the model development lifecycle, streaming, and data accessibility.

  • Use data science to optimise internal systems including our multi-tenant compute infrastructure, pricing, billing, fraud, observability and monitoring.

  • Develop sample projects in python and engage with data scientist communities through multiple channels to demonstrate the power of Quix.

  • Work with designers and product marketing to communicate solutions to developers.

  • Support customers with solutions and advice on complex machine learning challenges.

  • Keep a constant eye on customer gaps by understanding their underlying business problems, propose appropriate solutions and identify where solutions can become Quix product features.

  • Grow to data science lead position when the company grow and hire more data scientists.

Required skills and knowledge
  • 5+ years of relevant experience, including 2+ years in streaming data applications

  • Professional experience in a real-time streaming environment.

  • Established technical, analytical and communication skills

  • Experience in actively engaging with customers

  • Strong Python developer

  • Proficient experience across the ecosystem of data science libraries (Spark Streaming a plus)

Nice to have
  • Relevant academic education. For example a Degree/Masters/PhD in Engineering / CS / AI / ML

  • Experience engaging with technical communities

  • Experience with BI analytics

  • Active contributor to open-source projects

  • Work from home anywhere in the UK and EU (must be willing to travel)
  • 2 annual team meet-ups in EU destinations (normally beaches and mountains)
  • Generous stock options commensurate with the opportunity
  • 37 days holiday (including all public holidays in your region)
  • 2 additional paid days off a year for volunteering work
  • Budget to choose own hardware and office set-up
  • Training and personal development budget
  • Regular socials with paid food/drink/games allowance


If you are interested in joining Quix, please send your CV to