8 of 8 Remote Data Science Jobs in Cambridge

the medicine of the future. To do this we need talented and curious people who want to make an impact on the future of science and therapeutics. As a team of individuals, we value science, collaboration, openness, curiosity and creativity. We are united by trust and respect for … Immediate Office Based Position - Cambridge, UK with hybrid working available Your role in our team: At bit.bio, we're setting our sights on embedding data and AI into our technology stack in new and innovative ways. We are looking for an experienced and passionate Senior Data & AI Engineer … to partner with and support our company by addressing their data management challenges and help us implement an easy-to-use, compliant data and AI platform. In this highly collaborative role you will help acquire, curate, store and retrieve any type of data and metadata required by More ❯

the medicine of the future. To do this, we need talented and curious people who want to make an impact on the future of science and therapeutics. As a team of individuals, we value science, collaboration, openness, curiosity, and creativity. We are united by trust and respect for … Competitive Hours: 40 per week Office Based Position - Cambridge, UK with hybrid working available Your role in our team At bit.bio, we're embedding data and AI into our technology stack in innovative ways. We are seeking an experienced Senior Data & AI Engineer to support our data management challenges and help implement a compliant, user-friendly data and AI platform. You will work with data from biological assays and experiments at unprecedented scales, supporting cutting-edge discoveries. Your responsibilities include creating and maintaining AI-ready data flows, designing data architectures, enabling AI More ❯

the pricing process and enhance the abilities of the wider team, as well as being involved with integrating and establishing the use of advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor … and efficiency Contribute and lead research and development opportunities to help innovate and improve current modelling and pricing methodologies Evaluate and utilise tools and data items created by the data science teams Ensure all activity is compliant with pricing governance and follows established controls Work closely with More ❯

the pricing process and enhance the abilities of the wider team, as well as being involved with integrating and establishing the use of advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor … and efficiency Contribute and lead research and development opportunities to help innovate and improve current modelling and pricing methodologies Evaluate and utilise tools and data items created by the data science teams Ensure all activity is compliant with pricing governance and follows established controls Work closely with More ❯

imaging conferences or journals • Experience working with large-scale medical datasets • Experience contributing to open-source GitHub projects and strong proficiency in Python-based data science tools (e.g., NumPy, Pandas, Matplotlib, SciPy) How to Apply To apply, please email your CV and a brief cover letter (up to More ❯

and computer vision to predictive analytics, your role will span both internal product development and external client projects. You’ll bridge the gap between data scientists, software engineers, and stakeholders to deliver projects on time and at scale. The Client: This AI Consultancy is a recognised leader in the … a highly technical, mission-driven team at the forefront of AI innovation. Requirements: 4+ years in technology project management, ideally in AI, ML, or data-focused environments. Experience working in Agile and hybrid delivery models. Strong understanding of the software development lifecycle. Proven ability to manage technical teams and … non-technical stakeholders. Familiarity with AI/ML project workflows and challenges. Desirable: STEM degree or formal training in data or analytics. Experience in a consultancy or client-facing tech environment. Benefits: Excellent salary with regular performance-based increases. Hybrid working (3 days remote, 2 days onsite). Private More ❯

and computer vision to predictive analytics, your role will span both internal product development and external client projects. You'll bridge the gap between data scientists, software engineers, and stakeholders to deliver projects on time and at scale. The Client: This AI Consultancy is a recognised leader in the … a highly technical, mission-driven team at the forefront of AI innovation. Requirements: 4+ years in technology project management, ideally in AI, ML, or data-focused environments. Experience working in Agile and hybrid delivery models. Strong understanding of the software development lifecycle. Proven ability to manage technical teams and … non-technical stakeholders. Familiarity with AI/ML project workflows and challenges. Desirable: STEM degree or formal training in data or analytics. Experience in a consultancy or client-facing tech environment. Benefits: Excellent salary with regular performance-based increases. Hybrid working (3 days remote, 2 days onsite). Private More ❯

and computer vision to predictive analytics, your role will span both internal product development and external client projects. You'll bridge the gap between data scientists, software engineers, and stakeholders to deliver projects on time and at scale. The Client: This AI Consultancy is a recognised leader in the … a highly technical, mission-driven team at the forefront of AI innovation. Requirements: 4+ years in technology project management, ideally in AI, ML, or data-focused environments. Experience working in Agile and hybrid delivery models. Strong understanding of the software development lifecycle. Proven ability to manage technical teams and … non-technical stakeholders. Familiarity with AI/ML project workflows and challenges. Desirable: STEM degree or formal training in data or analytics. Experience in a consultancy or client-facing tech environment. Benefits: Excellent salary with regular performance-based increases. Hybrid working (3 days remote, 2 days onsite). Private More ❯