Associate Data Scientist

LorienLondonreedpublished 10/27/2026
Must-have:PythonDockerDataAISenior

About the company

*Location: London We're looking for a Data Scientist** with circa 2-3 years' experience to join a growing data science team. This is a hands-on role where you'll apply your skills to real-world problems, working alongside experienced practitioners and contributing to meaningful, production-focused work.

Your tasks

  • Designing and delivering data science solutions to solve business problems
  • Applying statistical and analytical techniques to explore data and test hypotheses
  • Writing and maintaining Python code for data processing, analysis and modelling
  • Working with real-world datasets (cleaning, validation and exploration)
  • Contributing to data pipelines and supporting data engineering tasks
  • Collaborating with senior data scientists and engineers across multiple projects
  • Communicating insights clearly to technical and non-technical stakeholders
  • Supporting responsible, ethical and compliant use of data

Requirements

Essential

  • ~2-3 years' experience in Data Science or a similar analytical role
  • Strong Python skills and experience working in shared codebases
  • Experience with data science / ML frameworks
  • Solid understanding of data preparation, analysis and modelling
  • Ability to translate data insights into practical outcomes
  • Strong communication and collaboration skills
  • Curious mindset with a willingness to learn and challenge assumptions

Nice to have

  • Experience with Docker / containerised environments
  • Understanding of data engineering workflows
  • Experience working in product or engineering-led teams

What we offer

  • Work on real, impactful data problems (not just experimentation)
  • Learn from experienced data scientists in a collaborative environment
  • Exposure to varied projects and modern data practices.

How to apply

If you're an early-career Data Scientist looking to develop your skills on meaningful work, apply now.

Other

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