Data Scientist

SR2 - Socially Responsible Recruitment; Cambridge; On-site; GBP 55,000 - 75,000; Full time

Job summary

A trusted recruitment partner is seeking a DV-cleared Data Scientist to work on a long-term contract in Cambridge. The role involves designing and deploying data science solutions, maintaining ML pipelines, and collaborating with various teams within a secure environment. Candidates should have strong programming experience in Python and familiarity with ML Engineering, MLOps practices, and data engineering concepts. This is an on-site position requiring active DV clearance.

Qualifications

• Active DV clearance required.
• Strong programming experience in Python.
• Hands-on experience with ML Engineering/MLOps tooling.

Responsibilities

• Design, build and deploy data science and ML solutions.
• Develop and maintain production-ready ML pipelines.
• Collaborate with teams to integrate models.

Skills

Python

ML Engineering/MLOps

CI/CD pipelines

Data engineering concepts

Cloud-native data systems

Tools

MLflow

Airflow

Docker

Kubernetes

GitLab

Jenkins

Job description

DV Cleared Data Scientist

We are supporting a trusted delivery partner on a high-priority programme based in Cambridge and are looking for an experienced, DV-cleared Data Scientist to join the team on a long‑term contract. This is an urgent requirement, working on-site 5 days per week within a highly secure environment.

The Role

You'll be working on mission‑critical data and analytics challenges, applying advanced data science and machine learning techniques to support operational outcomes. The role blends hands‑on data science with strong engineering and MLOps practices, contributing to scalable, production‑grade solutions.

Key Responsibilities

• Design, build and deploy data science and machine learning solutions in secure environments
• Develop and maintain production‑ready ML pipelines using modern MLOps practices
• Collaborate with engineering and delivery teams to integrate models into wider systems
• Support automation, deployment and operationalisation of data products
• Contribute to the design of scalable, cloud‑native data architectures

Essential

• Active DV clearance
• Strong programming experience in Python
• Hands‑on experience with ML Engineering/MLOps tooling (eg MLflow, Airflow, Docker, Kubernetes)
• Solid understanding of CI/CD pipelines and DevOps practices (eg GitLab, Jenkins)
• Strong knowledge of data engineering concepts, including ETL, data warehousing and data streaming
• Experience designing and working with scalable, cloud‑native data pipelines and systems

Desirable

• Experience working within defence, intelligence or other highly regulated environments
• Exposure to large‑scale or Real Time data platforms