Principal Data Science & ML Researcher — R&D Leader (SC/eDV)

Searchability NS&D; Manchester; Presencial; GBP 90 000 - 130 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Tiered clearance bonus

Funded R&D projects and internal seed

Clear technical growth and progression

Supportive, collaborative team

Resumo da oferta

Searchability NS&D is seeking a Principal Data Science & ML Researcher to drive research-led development in a secure, mission-focused environment. You will navigate short exploratory tasks and long-term R&D programs, shaping project direction and translating customer needs into technical solutions that advance model development and deployment.

You will operate in a high-ambiguity setting, collaborating with stakeholders to define what to work on next while advancing innovative approaches in data

Qualificações

• Strong background in data science and machine learning research.
• Experience prototyping novel algorithms or approaches.
• Ability to translate research concepts into practical applications.
• Confidence engaging with stakeholders to understand customer needs.
• Active SC clearance and eDV eligibility.

Responsabilidades

• Lead research-led development across short exploratory tasks and long-term R&D initiatives.
• Shape project directions and translate customer needs into technical solutions.
• Build innovative models and approaches for delivery and impact.

Conhecimentos

Data Science

Machine Learning

R&D

Algorithms

Stakeholder Engagement

SC/eDV clearance

Ferramentas

Python

Descrição da oferta de emprego

Searchability NS&D is seeking a Principal Data Science & ML Researcher to drive research-led development in a secure, mission-focused environment. You will navigate short exploratory tasks and long-term R&D programs, shaping project direction and translating customer needs into technical solutions that advance model development and deployment.

You will operate in a high-ambiguity setting, collaborating with stakeholders to define what to work on next while advancing innovative approaches in data