Data Scientist

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.

• 
  
• 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.
  

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• 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.
  

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• 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.
  

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• 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
  

RSG Plc is acting as an Employment Agency in relation to this vacancy.