8 of 8 Data Science Jobs in Basingstoke

recognise that few professionals have led a full AI transformation within an investor-backed environment. Therefore, we seek leaders with proven experience in digital, data, or operational transformation who are now applying that expertise to AI-led value creation within portfolio companies. You understand how to translate investor ambition … AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial outcomes. Evolved beyond a purely data science or analytics focus — capable of bridging data infrastructure, AI productisation, and operational transformation. Able to lead technical reviews and guide delivery ...

identification, development, and implementation of AI models and AI Agents that address real business challenges. You'll be hands-on with model development, data analysis, and performance optimisation, while also acting as a subject-matter expert for M365 Copilot Agents and emerging AI capabilities. This is a role … functional collaboration. Key responsibilities include: Develop, deploy, and maintain AI models and AI Agents, including new and enhanced M365 Copilot Agents. Analyse and prepare data, extract insights, and communicate findings clearly to stakeholders. Monitor and optimise model performance, ensuring regular audits, accuracy, reliability, and drive continuous improvement. Document development ...

Senior Full Stack Python Engineer to join a technology business that forms part of a well-established group. The team is building a data science driven SaaS platform focused on predictive modelling and scientific applications. Following the development of an initial proof of concept, the focus … Experience using Git and collaborative development workflows Comfortable taking ownership and contributing to technical decision making Desirable Skills Experience building SaaS platforms Experience with data science libraries such as pandas, NumPy or scikit-learn Cloud experience across AWS, Azure or GCP Infrastructure as Code tools such as Terraform ...

performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with engineers, data scientists & DevOps teams Your Experience: Industry experience in DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong … like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Requirements: Degree in Computer Science, Engineering, Data Science or similar What We Offer Remote-first working across the UK. Work abroad policy for when you want ...

roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You'll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical … concepts, and feasibility studies for emerging AI technologies. Collaborate with Product Management to scope AI features and align them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure ...

About Intellias Intellias is a European-founded AI, Data and Software Development company with global delivery capability across Europe, India and Latin America. For more than 20 years, we've empowered our customers to embrace innovation at scale and contributed to the success of the world's leading brands. … with the leading hedge funds, online trading companies, reinsurance institutions and banks to help them compete in the age of AI through modernisation, enterprise data management, and agentic AI capabilities. As we continue to scale, we're expanding the team in the UK, bringing top talent on board ...

subject matter experts to identify automation opportunities and define technical and functional requirements. Coding and Programming: Develop automation scripts and build pipelines for data ingestion, preprocessing and feature engineering using languages such as Python, Java or R. Testing and Maintenance: Conduct thorough testing, resolve issues, monitor accuracy and system … performance, and implement updates or improvements as needed. Collaboration: Partner with cross-functional teams including data scientists, engineers, software developers and IT operations to ensure seamless integration of AI/automation solutions. Documentation and Reporting: Produce and maintain clear technical documentation and prepare performance reports, insights and recommendations ...

models into existing systems and workflows. Analyse business processes with stakeholders to identify automation opportunities and define clear requirements. Develop automation scripts and build data pipelines covering ingestion, preprocessing and feature engineering. Conduct testing, troubleshooting and performance monitoring to maintain system accuracy and reliability. Collaborate with data scientists ...