Job Specifications
Senior Data Scientist – £75,000 to £85,000 + 4 days a week onsite
Method Resourcing is supporting a high-growth data function in central London who are building out their Data Science capability and looking for an experienced Senior Data Scientist ready to progress into a leadership role.
You’ll join a flat-structured team of five (scaling to seven), with full end-to-end ownership of modelling, deployment, and stakeholder delivery. This is a team that truly owns their products: hypothesis, modelling, deployment, monitoring. If you want breadth, autonomy, and strategic impact, this is one of the strongest environments in London.
They’re looking for someone who can already operate at a senior level: confident presenting to senior leadership, able to mentor others, and capable of stepping into a Lead role within 1–2 years.
The Role
You’ll act as the blend of:
Data & AI evangelist – educating stakeholders on possibilities and translating technical outcomes to business value.
Data specialist – shaping data science strategy, building production-ready ML models, and embedding best practice.
Fixer/problem-solver - helping teams refine requirements, diagnose issues, and drive real commercial outcomes.
Day-to-day you will:
Translate complex business problems into research questions with quantifiable objectives.
Identify, acquire, and work with structured and unstructured datasets.
Build, validate, deploy, and monitor production ML models.
Partner with data engineers, ML engineers, architects, and business teams to shape ML initiatives.
Present insights clearly through strong data visualisation and storytelling.
Uphold software engineering and MLOps best practices (testing, versioning, quality, automation).
Contribute to governance, responsible model usage, and data quality standards.
Mentor juniors and support code reviews.
Required Experience
You’ll need:
Strong Python experience and deep familiarity with mainstream ML libraries.
Proven experience deploying and owning ML models in production.
Experience working in cross-functional data teams.
Strong stakeholder communication skills and the ability to explain commercial impact.
Understanding of ML Ops vs DevOps and broader software engineering standards.
Cloud experience (any platform).
Previous mentoring experience.
Nice to have:
Snowflake or Databricks
Spark, PySpark, Hadoop or similar big data tooling
BI exposure (PowerBI, Tableau, etc.)
Interview Process
The process is fully structured, transparent, and efficient:
Video call – high-level overview and initial discussion
In-person technical presentation – based on a provided example
In-person deep dive – code, design decisions, improvements
Final HR video stage
Why Apply?
A clear, supported pathway to Lead within 1–2 years
High ownership, flat structure, real autonomy
Work with highly capable engineers, scientists, and architects
Build models end-to-end and see real business outcomes
Collaborative, modern, technically strong environment
About the Company
Recruitment doesn’t need to be complicated. Keep things simple, work with an agency you trust, and the results will speak for themselves.
We whole heartedly believe that we have created a Method that offers both candidates and clients a slick, uncomplicated recruitment experience. Our staff are well trained and provided with the right tools to offer a best-in-class service to both our clients and candidates. We also hire cracking personalities, so you’ll be working with someone with character, not a robot!
Here at Method,...
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