7 jobs found

Data Scientist: We are seeking a highly skilled Data Scientist – AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally to deliver scalable, data-driven products. Key Responsibilities Design, develop, and optimize machine learning and deep learning models. Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI. Perform data cleaning, feature engineering, and exploratory data analysis (EDA). Build and manage data pipelines and model training workflows. Deploy models into production and monitor performance. Collaborate with Product, Engineering, and Business teams to translate business problems into AI solutions. Conduct model evaluation, A/B testing, and performance tuning. Document models, experiments, and technical processes. Required Skills & Qualifications Classic...

Job Title: Product Manager Rate: £600 per day Location: London, Norwich, Bristol or York Inside IR35   Are you someone who loves shaping products that make a real difference?   This role is perfect for someone who thrives on creating innovative solutions, enjoys collaborating with diverse teams, and is ready to take ownership of product strategy and delivery. Whether you’re an experienced Product Manager or looking for a step up, this could be your next big opportunity.   A bit about the job:   As a Product Manager at Aviva, you’ll play a key role in defining and delivering products that meet customer needs and drive business growth. You’ll work closely with stakeholders across technology, operations, and commercial teams to ensure our products are competitive, customer-focused, and aligned with our strategic goals. Your accountability will include managing the product lifecycle,...

Data Scientist: We are seeking a highly skilled Data Scientist – AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally to deliver scalable, data-driven products. Key Responsibilities Design, develop, and optimize machine learning and deep learning models. Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI. Perform data cleaning, feature engineering, and exploratory data analysis (EDA). Build and manage data pipelines and model training workflows. Deploy models into production and monitor performance. Collaborate with Product, Engineering, and Business teams to translate business problems into AI solutions. Conduct model evaluation, A/B testing, and performance tuning. Document models, experiments, and technical processes. Required Skills & Qualifications Classic...

Job Title: Project Manager Rate: £500-£525 per day Location: Norwich (flexible working pattern) Inside IR35   Are you someone who thrives in complex integration projects and loves shaping end-to-end customer journeys?   This role is ideal for someone experienced in cross-functional integration, data mapping, and navigating ambiguity. If you enjoy working with technical teams, supporting testing, and defining how integrations look in large-scale environments, this could be the perfect opportunity.   A bit about the job: You’ll be part of a major integration programme at Aviva, supporting delivery from inception through to execution. The role involves defining roadmaps, managing data structures and user journeys, and ensuring successful integration across multiple systems. You’ll work closely with technical teams, test teams, and business stakeholders to deliver a seamless experience, while managing...

Data Scientist: We are seeking a highly skilled Data Scientist – AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally to deliver scalable, data-driven products. Key Responsibilities Design, develop, and optimize machine learning and deep learning models. Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI. Perform data cleaning, feature engineering, and exploratory data analysis (EDA). Build and manage data pipelines and model training workflows. Deploy models into production and monitor performance. Collaborate with Product, Engineering, and Business teams to translate business problems into AI solutions. Conduct model evaluation, A/B testing, and performance tuning. Document models, experiments, and technical processes. Required Skills & Qualifications Classic...

Business Analyst Rate: up to £525 per day Location: Norwich (Bristol or Perth alternative locations) Inside IR35   Are you someone who enjoys solving problems and mapping processes? This is a great job for someone with strong Business Analysis skills who wants to play a key role in shaping the future of our claims technology. You don’t need to be highly technical, but you should be confident in process mapping and working with stakeholders to deliver change. If you’re Guidewire Cloud certified – fantastic! If not, we’ll support you to complete the training and certification by August 2026 as we transition from on-prem Guidewire ClaimCenter to the Cloud.]   A bit about the job You’ll join our Claims Transformation team, helping us deliver a major migration to Guidewire Cloud. This role exists to ensure our processes are clearly defined and optimised as we move to a new platform, supporting smooth...

Data Scientist: We are seeking a highly skilled Data Scientist – AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally to deliver scalable, data-driven products. Key Responsibilities Design, develop, and optimize machine learning and deep learning models. Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI. Perform data cleaning, feature engineering, and exploratory data analysis (EDA). Build and manage data pipelines and model training workflows. Deploy models into production and monitor performance. Collaborate with Product, Engineering, and Business teams to translate business problems into AI solutions. Conduct model evaluation, A/B testing, and performance tuning. Document models, experiments, and technical processes. Required Skills & Qualifications Classic...