Data Scientist

Armymkt; City of London; On-site; GBP 75,000 - 85,000; Full time

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

Clear career progression

High ownership

Collaborative team environment

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

Strong Python experience

ML libraries familiarity

Stakeholder communication

Cloud experience

Mentoring experience

Tools

Snowflake

Databricks

Spark

PowerBI

Job description

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.

Role Summary

• 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 Dev‑Ops 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

Additional Information

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

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