Associate Data Scientist

Project overview

Data Scientist/DV Clearable/5 Days Onsite

Nice to have

Why join?

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

Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

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

Project details

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.

What you'll be doing

What we're looking for

Essential:

• 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
• ~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
• Start: flexible
• Remote: onsite
• Location: London, United Kingdom, GB