Senior Data Scientist - £75,000 to £85,000 + 3 days a week onsite
Method Resourcing is supporting a high‑growth data function in central London that is building out its 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 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’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
Your role will blend the following areas:
- 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 Responsibilities
- 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
- 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
- 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.
RSG Plc is acting as an Employment Agency in relation to this vacancy.
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