LocationRemote working (anywhere in the UK)Salary: £78,000 to £85,000 (including a £10,000 market rate allowance), plus a further £5,000 for candidates based in London.About the jobJob summaryThis post is open to applicants who can meet the College’s nationality, UK residency...
As Head of AI, you will lead the development and implementation of AI strategies, governance, and capabilities at LPPA, a leading pension administration company. You will work closely with the CTO and executive team to identify and deliver AI opportunities that enhance operational efficiency, service quality, and member outcomes. Key responsibilities include building the AI team, establishing governance frameworks, and fostering AI adoption across the organization.
Lead or contribute to drug discovery projects by integrating medicinal chemistry expertise with AI-driven platforms. Guide projects from initiation to candidate selection, collaborate with machine learning teams to refine models, and manage CRO partnerships. The role emphasizes innovation in structure-based and fragment-based drug design within a dynamic, interdisciplinary environment.
Lead or contribute to computational drug design projects using AI-driven approaches, integrating machine learning into cheminformatics workflows. Guide drug discovery programs from hit identification through candidate selection, collaborating closely with ML scientists. Help shape and refine AI models while mentoring teams and driving innovation in molecular design and optimisation.
This role involves leading an analytics team, performing data analysis, and working closely with operational teams and stakeholders to improve performance and deliver actionable insights. The focus is on operational environments like airports, logistics, or manufacturing.
The role involves driving client success for dunnhumby’s Retail Media Portal by supporting internal and external stakeholders, delivering training, and gathering user feedback to inform product improvements. You will monitor product adoption and user journeys, identify process gaps, and act as a client-facing expert to ensure smooth implementation and ongoing support. The position emphasizes collaboration with product and client teams to enhance real-world usability and client satisfaction.
This role involves leading end-to-end data science projects to enhance customer personalisation for major retail clients like Tesco UK. You'll work with large-scale transactional data, design and evaluate A/B tests, and deploy machine learning solutions in a collaborative, innovative environment. The position emphasizes technical excellence in Python and SQL, alongside the ability to translate complex insights for diverse stakeholders.
As a Data Scientist at SRT Marine Systems, you will work on developing and evaluating ML models for maritime and security-based problems, including anomaly detection and track pattern recognition. You will collaborate with developers and engineers to integrate these models into user-facing features and build scalable data pipelines.
The Data Scientist role involves solving maritime and security-based problems using machine learning and data science techniques. Responsibilities include developing and evaluating ML models for anomaly detection, track pattern recognition, and integrating model outputs into user-facing features. The role is part of a collaborative, data-orientated team focused on enhancing civil defence security through advanced automated security infrastructures.
This role involves conducting in-depth business analyses, building scalable tools, and owning operational cadences for the SEMEA sales team. You will work closely with the VP of SEMEA and their leadership team to drive growth and optimize business operations, while also contributing to EMEA and global initiatives.
The role involves providing statistical expertise and leadership for clinical research studies, including complex trials and real-world data studies. Responsibilities include data analysis, method development, and contributing to research outputs within a multidisciplinary team.
This role involves leading a data and analytics function, focusing on team development, governance, and strategic data initiatives. The Data Lead will establish standards, drive process improvements, and oversee technical delivery across reporting, data engineering, and analytics projects. Working closely with senior stakeholders, they will shape data strategy and ensure robust data quality, compliance, and scalable architecture.
This role involves leading a team of analytics professionals, shaping the analytics roadmap, and delivering hands-on analysis to improve operational performance. Key responsibilities include coaching the team, automating processes, and supporting AI initiatives.
Lead and shape the marketing analytics function for a data-driven consumer business, developing strategy, measurement frameworks, and team capabilities. Drive performance insights across acquisition, engagement, and retention while working hands-on with data and senior stakeholders. Build a high-impact analytics culture in a growing organisation with strong data foundations.
This role involves leading the go-to-market strategy for Databricks in the EMEA financial services sector, focusing on banking, capital markets, and insurance. The individual will shape vertical-specific growth initiatives, build executive relationships, and collaborate across sales, marketing, and product teams to scale solutions. Key activities include developing sales plays, driving customer acquisition, and positioning Databricks as a leader in data and AI for regulated financial institutions.
This role involves ensuring high-quality data governance within a global travel company. Responsibilities include automating data quality checks, maintaining data dictionaries, collaborating with technical and business teams, and analyzing complex datasets to inform business decisions.
The Head of Data will lead the company's data strategy, modern data platform, and AI initiatives. Responsibilities include strategic leadership, data engineering, AI innovation, business intelligence, and team management. The role involves hands-on technical work and collaboration with senior stakeholders to drive data-driven decision-making and business growth.
