Data Scientist

Army Marketing
City of London
3 months ago
Applications closed

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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

  2. Video call – high‑level overview and initial discussion.
  3. In‑person technical presentation – based on a provided example.
  4. In‑person deep dive – code, design decisions, improvements.
  5. 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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