Data Scientist (eDV clearance required)

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

Job description

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:

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:

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.

Benefits:

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. Share

manages this role

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