2 of 2 Remote Data Scientist Jobs in the East of England

Data Science and Machine Learning Research Scientist Location : Chelmsford | Hybrid (2 days onsite) | Salary ~£70,000 + 10% bonus | SC Clearable A specialist technology consultancy is seeking a Data Science and Machine Learning Research Scientist to develop novel AI/ML solutions for complex, real-world challenges in national security and defence. Working within a mission … focuses on applied research and technical delivery—spanning early-stage concept exploration to proof-of-concept demonstrators for government R&D sponsors. The team operates at the intersection of data science, autonomy, cyber, and complex systems—blending statistical, symbolic, and machine learning approaches to address high-impact use cases. Key Responsibilities • Conduct applied research in data science and … machine learning, with a focus on real-world decision-making applications • Design, implement, and evaluate ML models for structured and unstructured data • Contribute to R&D proposals, technical reports, and demonstrator systems • Collaborate with domain experts, academic partners, and internal teams to deliver mission-relevant innovation • Support mentoring and knowledge sharing within the wider AI/ML group About More ❯

Senior Data Scientist ££60,000 £75,000 GBP Bonus Hybrid WORKING Location: United Kingdom (Greater London - Chelmsford) Type: Permanent Senior Research Scientist - Data Science & Machine Learning Chelmsford (Hybrid - 2 days onsite per week) £60,000 - £75,000 + 10% Bonus Security Clearance: Must be eligible for UK SC Clearance A globally respected research and technology organisation … is seeking a Senior Research Scientist to join its advanced data and decision science capability. This is a rare opportunity to work at the intersection of cutting-edge AI, machine learning, and statistical signal processing-delivering real impact across domains including national defence, space, and critical infrastructure. As part of a multi-disciplinary innovation team, you'll contribute … to the design of next-generation inference algorithms, apply AI/ML to time-series and sensor data, and help shape future technologies in areas such as distributed sensing, autonomy, radar, and RF systems. You'll also have opportunities to collaborate with academic institutions and lead the development of internal IP and demonstrators. What you'll be doing: Leading More ❯