DV-Cleared Data Scientist – AI/GenAI (London On-Site)

DV-Cleared Data Scientist – AI/GenAI (London On-Site)

Full-Time 45000 - 95000 Β£ / year (est.) No working from home possible
Searchability NS&D

At a Glance

  • Tasks: Leverage AI techniques to solve client challenges and deliver impactful solutions.
  • Company: Searchability NS&D, a dynamic company in Central London.
  • Benefits: Competitive salary up to Β£95k plus a 15% clearance bonus.
  • Other info: Excellent career progression in a diverse working environment.
  • Why this job: Showcase your expertise in machine learning and NLP while making a real impact.
  • Qualifications: Enhanced DV clearance and experience in AI/GenAI required.

The predicted salary is between 45000 - 95000 Β£ per year.

Searchability NS&D is seeking an Enhanced DV Cleared Data Scientist/AI Engineer to work in Central London. This full-time role involves leveraging AI techniques to address client challenges and deliver impactful solutions across sectors.

The successful candidate will engage in a variety of projects, showcasing expertise in machine learning and NLP, while benefiting from excellent career progression within a diverse working environment.

Competitive salary ranging from Β£45k to Β£95k with a 15% clearance bonus included.

DV-Cleared Data Scientist – AI/GenAI (London On-Site) employer: Searchability NS&D

Searchability NS&D is an exceptional employer, offering a dynamic and inclusive work culture in the heart of Central London. With a strong focus on employee growth, you will have access to diverse projects that enhance your skills in AI and machine learning, alongside competitive salaries and a generous clearance bonus. Join us to make a meaningful impact while advancing your career in a supportive environment.

Searchability NS&D

Contact Details:

Searchability NS&D Recruitment Team

We think you need these skills to ace DV-Cleared Data Scientist – AI/GenAI (London On-Site)

AI Techniques
Machine Learning
Natural Language Processing (NLP)
Problem-Solving Skills
Project Management
Data Analysis
Client Engagement