Future Tech Jobs
Future Tech Jobs
This role involves designing and implementing data architecture using Snowflake, with a focus on data warehousing, cross-cloud orchestration, and AI readiness. Responsibilities include defining data modelling standards, securing data pipelines, and optimizing Snowflake's performance and cost efficiency.
This role involves building and deploying machine learning models, including NLP-based solutions, to generate actionable insights from real-world financial data. You'll design and maintain production-ready data pipelines, apply statistical methods for model validation, and collaborate with domain experts. The position emphasizes translating complex analytical findings into clear business recommendations within a structured financial services environment.
The Global Head of Data will lead the development and execution of a global data strategy, building scalable data capabilities and driving a data-driven culture. Key responsibilities include defining data roadmaps, creating modern cloud-based platforms, and ensuring data governance and security across international business functions.
The role involves working on Azure data warehouse projects within an insurance firm, focusing on data analysis, ETL processes, and implementation using technologies like Azure Data Factory and Snowflake. The candidate will collaborate with data engineers, handle geospatial data, and contribute to data warehouse design and implementation in a hybrid working setup.
This role involves designing, developing, and maintaining end-to-end AI solutions, including front-end interfaces, back-end services, and data pipelines. The AI Engineer will work closely with data scientists, engineers, and business stakeholders to deliver scalable, secure, and impactful AI and machine learning models, while also providing technical guidance and mentorship to junior engineers.
This role involves working in a fast-paced, interdisciplinary team to build a cutting-edge ML-based software platform for drug discovery. Responsibilities include data engineering, service-oriented architecture, and collaboration with scientists and ML researchers to transform the bio-pharmaceutical industry.
As a Talent Partner at Isomorphic Labs, you will play a critical role in building world-class teams by developing and executing talent acquisition strategies. You will partner with senior leaders, source top talent, and foster an inclusive culture, contributing to the company's ambitious mission to revolutionise drug discovery through AI.
This role involves conducting advanced genomic data analysis and interpretation projects focused on rare and complex diseases, using whole genome sequencing and multi-omics datasets. The Genomic Data Scientist will develop and apply state-of-the-art computational methods, collaborate with multidisciplinary teams and external partners, and contribute to research outputs such as publications and conference presentations. Key responsibilities include data preparation, custom analysis, pipeline development, and translating research findings into actionable insights for healthcare and drug discovery.
This role involves conducting advanced analysis of cancer genomic datasets, integrating whole genome data with real-world clinical data, and supporting translational research through machine learning and bioinformatics. The scientist will collaborate with multidisciplinary teams and external partners, contributing to large-scale cancer genomics initiatives within a national healthcare context.
This role involves designing and implementing legal knowledge data models, creating data-driven insights through dashboards, and enabling AI readiness by structuring data for machine learning applications. The consultant will collaborate across legal, IT, risk, and innovation teams to advance data governance, automation, and intelligent legal service delivery. It offers a unique opportunity to shape data and AI strategy within a high-profile law firm’s Lawtech function.
The role involves leading enterprise data architecture assessments, mapping systems and data flows, identifying data risks, and defining scalable data models and integration patterns. The architect will evaluate data quality controls, platform capabilities, and readiness for AI use cases while promoting canonical data definitions and improving decision-making through data. Collaboration with cross-functional teams is essential to align technical architecture with business needs.
This role involves defining and evolving enterprise data management frameworks, including data governance, quality, metadata, and master data. You'll work closely with the Head of Data Management to establish scalable governance and data management practices across various domains, translating business requirements into strategic frameworks.
This role involves building an AI-powered intelligence platform from the ground up, focusing on processing large-scale, noisy data to help organizations detect and respond to external risks. You'll design full-stack systems, develop AI-driven workflows, and work closely with founders and customers to shape the product. The role demands ownership across architecture, data pipelines, and real-time processing in a high-impact startup environment.
This role involves shaping strategic data initiatives and supporting the Head of Data in managing key areas of the data warehouse within an insurance business. The analyst will drive improvements in data integrity and business performance through proactive analysis, working closely with underwriting, finance, and business teams. Responsibilities include documenting data processes, supporting data projects, identifying reporting anomalies, and developing analytics tools to enhance decision-making.
Data Scientist – London - HybridJob descriptionBDO Regulatory Solutions are currently recruiting for a Data Scientist to join our client, a Regulated firm, based in London.We are offering an initial 6-month contract starting in September with an excellent day rate,...
