At a Glance
- Tasks: Lead the delivery of impactful machine learning projects and design analytical solutions.
- Company: Dynamic tech firm in central London with a collaborative team.
- Benefits: Competitive salary up to £67,500 plus a 12.5% bonus and hybrid work model.
- Other info: Opportunity for career growth and continuous learning in a supportive environment.
- Why this job: Make a real difference with your data skills while working on exciting projects.
- Qualifications: 3+ years in data science, strong Python skills, and experience in Agile teams.
The predicted salary is between 67500 - 67500 £ per year.
We're looking for an experienced data scientist who enjoys solving complex problems, building reliable machine learning solutions and helping others develop their skills. This is a Hybrid role - 1/2 days a week in central London. Salary is up to £67,500 with a 12.5% bonus. Excellent team, with bright ideas. Looking for good communicators, no VISA sponsorship is offered. Requires at least 3 years experience within a Data science role.
Technically, it is titled as a Lead Data Scientist, but this is referring to owning your own workstreams, rather than leading large teams (may be some coaching and development of more junior people). You'll spend most of your time designing and delivering analytical solutions that have a real impact. You'll work across the full lifecycle of a project, from understanding the problem through to developing models and supporting their deployment into production. This is a hands-on role rather than a people management position. You'll work closely with data engineers, architects, product teams and subject matter experts to make sure the solutions we build are practical, robust and deliver value.
What you'll be doing:
- Leading the technical delivery of machine learning and data science projects.
- Designing, building and evaluating machine learning models to solve business problems.
- Working with subject matter experts to understand challenges and turn them into analytical solutions.
- Collaborating with data engineers, architects and product teams to deploy models into production.
- Writing clean, well-tested and maintainable Python code.
- Promoting good development practices, including version control, documentation, testing and reproducibility.
- Supporting secure and well-governed ways of working with data.
- Reviewing code and providing technical guidance to other data scientists.
- Explaining technical findings clearly to a range of audiences.
- Contributing to Agile delivery, including planning, estimation and sprint activities.
- Looking for opportunities to improve the team's tools, techniques and ways of working.
What we're looking for:
- Experience delivering data science or machine learning projects from start to finish.
- Strong Python development skills and experience writing production-quality code.
- A good understanding of machine learning techniques and how to apply them to real business problems.
- Experience working with data engineers and software teams to deploy analytical solutions.
- The ability to explain technical concepts clearly to both technical and non-technical audiences.
- Experience working in Agile teams.
- Curiosity about new developments in AI and data science and a willingness to keep learning.
It would be great if you also have:
- Experience deploying machine learning models in Azure.
- Experience with modern AI or agentic AI frameworks.
- Experience working with cloud-based machine learning services or MLOps practices.
- Experience in transport, the public sector or another safety-critical industry.
Senior Data Scientist employer: Revoco
Join a dynamic team in central London where innovation meets collaboration. As a Senior Data Scientist, you'll not only tackle complex challenges but also have the opportunity to mentor junior talent, fostering a culture of growth and continuous learning. With a competitive salary, a generous bonus structure, and a commitment to agile practices, this hybrid role offers a perfect blend of professional development and impactful work in a vibrant city.
