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Data Scientist
Job summary
A leading data services company in London seeks a Senior Data Scientist to enhance its data science capability. The ideal candidate will drive ML initiatives, mentor juniors, and hold strong Python and ML expertise. With a clear progression path to leadership within 1-2 years, this role offers significant autonomy and impact on business outcomes. Join a collaborative team where you'll build production-ready models and directly contribute to commercial goals.
Benefits
Qualifications
- Proven experience deploying and owning ML models in production.
- Experience working in cross-functional data teams.
- Understanding of ML-Ops vs Dev-Ops.
Responsibilities
- Translate complex business problems into quantifiable research questions.
- Build, validate, deploy, and monitor production ML models.
- Mentor juniors and support code reviews.
Skills
Tools
Senior Data Scientist – £75,000 to £85,000 + 3 days a week onsite in central London
Method Resourcing is supporting a high‑growth data function that is building out its Data Science capability. We are 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 team truly owns its products: hypothesis, modelling, deployment, monitoring. If you want breadth, autonomy, and strategic impact, this is one of the strongest environments in London.
They are 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.
- 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.
- 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.
- 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 Dev‑Ops and broader software engineering standards.
- Cloud experience (any platform).
- Previous mentoring experience.
- Snowflake or Databricks
- Spark, PySpark, Hadoop or similar big data tooling
- BI exposure (PowerBI, Tableau, etc.)
- 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
- 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
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Science
Industries: IT System Data Services
This vacancy is presented by RSG Plc acting as an Employment Agency.
Location: London, England, United Kingdom
``` ,* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.