Data Scientist

SR2 REC LTD; Cambridge; On-site; GBP 100,000 - 125,000; Full time

Job summary

A trusted delivery partner is seeking an experienced DV-cleared Data Scientist in Cambridge for a long-term contract. This on-site position requires designing and deploying machine learning solutions in secure environments. Candidates should have strong programming skills in Python and experience with MLOps tooling, while also being familiar with data engineering concepts. The initial contract duration is 12 months, with potential extensions.

Qualifications

• Active DV clearance is required.
• Strong programming experience in Python is essential.
• Hands-on experience with MLOps tooling is necessary.

Responsibilities

• Design, build and deploy data science solutions.
• Develop and maintain production-ready ML pipelines.
• Collaborate to integrate models into systems.
• Support automation and operationalization of data products.
• Contribute to cloud-native data architecture design.

Skills

Python

ML Engineering

MLOps

CI/CD practices

Data engineering

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 (e.g. MLflow, Airflow, Docker, Kubernetes)
• Solid understanding of CI/CD pipelines and DevOps practices (e.g. 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

The Details

• Contract: Inside IR35
• Rate: £550 per day inclusive
• Location: Cambridge - 5 days per week on site
• Duration: 12 months initially, with potential extensions up to 3 years

If you hold active DV clearance and are available for an urgent start, apply now to discuss this opportunity in confidence.