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Data Scientist (eDV clearance required)

Matchtech

London

Hybrid

GBP 55,000 - 75,000

Full time

Yesterday
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Job summary

A leading recruitment firm in London is seeking a Data Scientist with enhanced DV clearance. In this hybrid role, you will lead client projects, apply data science techniques to solve complex problems, and work in a dynamic and collaborative environment. Experience with cloud infrastructure and proficiency in Python are essential. This position offers professional growth and the chance to make a significant impact in the Defence & Security sector.

Benefits

Opportunities for professional growth
Dynamic and agile work environment
Collaborative work culture

Qualifications

  • DV Clearance required (2023, 2024, 2025).
  • Experience in consultancy, engineering, or data science.
  • Strong interpersonal skills and effective communication.

Responsibilities

  • Leading client projects and providing subject matter expertise.
  • Identifying opportunities for data science usage.
  • Investigating and analysing data.

Skills

Data Science
Machine Learning
Python
Cloud-based infrastructure
Statistical analysis

Tools

AWS
Azure
GCP
SQL
Elasticsearch

Job description

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Data Scientist (eDV clearance required), London

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Client:
Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

863eca77fe75

Job Views:

11

Posted:

12.08.2025

Expiry Date:

26.09.2025

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Job Description:

Job summary

2-3 days a week on site, hybrid role. Data Scientist - enhanced DV clearance required.

Key skills required for this role

Data Scientist (eDV clearance required)

Important

Data Scientist - enhanced DV clearance required


Our client, a leading company in the Defence & Security sector, is currently seeking a data-driven and passionate Data Scientist with eDV clearance to join their team. This permanent position offers the opportunity to work on complex data problems and deliver innovative solutions that drive real impact.

Key Responsibilities:

  • Leading client projects and providing subject matter expertise.
  • Working in scrum-like environments for iterative and 'fail-fast' work and innovation.
  • Assessing clients' business and technical needs to identify opportunities for data science usage.
  • Solving problems using data science techniques and in a scientifically robust fashion.
  • Identifying relevant data sources and leveraging them to meet client needs.
  • Modelling various forms of data for efficient data science use.
  • Investigating and analysing data to uncover meaningful insights.
  • Applying statistical and evidence-based techniques to inform insights and actions.
  • Communicating technical content appropriately both internally and to customers.
  • Building maintainable code using existing or novel data science techniques.
  • Designing, evaluating, and implementing data science and machine learning techniques.
  • Developing scalable models and algorithms for deployment in production environments.
  • Applying ethical principles in handling data.
  • Delivering high-quality work to agreed timelines and taking the initiative.
  • Supporting client engagements, including pitches and presentations.
  • Contributing to the company strategy and helping to shape the future.

Job Requirements:

  • DV Cleared (2023, 2024, 2025) or holding DV Clearance.
  • Experience in data science, machine learning algorithms, and data engineering.
  • Industry experience in consultancy, engineering, or data science.
  • Significant experience with cloud-based infrastructure (e.g., AWS, Azure, GCP).
  • Proficiency in Python and relevant data science libraries.
  • Experience in using CI/CD tooling for code deployment and testing.
  • Knowledge of database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases).
  • Understanding of coding best practices, design patterns, and versioning.
  • Strong interpersonal skills and the ability to communicate effectively with clients and colleagues.
  • Joining a dynamic and agile organisation.
  • Opportunities for professional growth and development.
  • Working in an environment that values transparency, fairness, and daring.
  • Collaborative and respectful work environment.
  • Hybrid working model with 2-3 days in the office or on a client site.
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