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.
Leads global data strategy and teams within a complex enterprise environment, driving data governance, advanced analytics, and AI integration to support business decision-making. Partners with AI and digital leaders to ensure data readiness for high-value use cases. Focuses on scaling data platforms, improving data quality, and enabling commercial value through interoperability and reuse across regions.
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 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.
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,...
The Data Manager is responsible for establishing and operating an enterprise data management capability, ensuring data accuracy, security, and integrity. Key responsibilities include developing a data strategy, leading a team of data engineers, and collaborating with stakeholders to provide timely and accurate data insights.
Design and develop Power BI dashboards from concept to deployment, translating complex business requirements into actionable insights. Work closely with stakeholders and data engineers to improve data pipelines and ensure data quality. Utilize SQL and data modelling expertise to deliver impactful reporting solutions that drive decision-making.
Leads the development and execution of the organization's enterprise data strategy, driving data governance, architecture, analytics, and AI initiatives. Manages a team of 8 to ensure data is a trusted, high-quality asset supporting decision-making, compliance, and innovation across clinical and operational domains.
