Senior Data Scientist

Method Resourcing Solutions Ltd; Greater London; Hybrid; GBP 75,000 - 85,000; Full time

Job summary

A high-growth data firm in London seeks a Senior Data Scientist to lead and develop their data science strategy. This role offers ownership of end-to-end modeling and deployment with a clear pathway to leadership within 1-2 years. Candidates should have strong Python skills, proven production ML experience, and the ability to mentor others. Enjoy a collaborative and autonomous environment working alongside talented engineers and scientists while impacting real business outcomes.

Benefits

Pathway to leadership

Collaborative environment

Autonomy in role

Qualifications

• 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.

Responsibilities

• Translate complex business problems into research questions with quantifiable objectives.
• Build, validate, deploy, and monitor production ML models.
• Mentor juniors and support code reviews.

Skills

Strong Python experience

Stakeholder communication skills

Experience deploying ML models

Familiarity with ML libraries

Tools

Snowflake

Databricks

Spark

PowerBI

Job description

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 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.

The Role

You’ll act as the blend of:

• 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 you will:

• 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

You’ll need:

• 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

The process is fully structured, transparent, and efficient:

1. Video call - high‑level overview and initial discussion
2. In‑person technical presentation - based on a provided example
3. In‑person deep dive - code, design decisions, improvements
4. Final HR video stage

Why Apply?

• A clear, supported Pathway to Lead within1-2 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.