Latest Data Analytics Jobs

Data Scientist

As a Data Scientist in Delivery, you will work closely with Simulation Engineers, Machine Learning Engineers, and customers to solve complex engineering and physics challenges. Your responsibilities include pre-processing and analyzing data, developing deep learning models, and building scalable data pipelines. You will also travel to customer sites to collaborate on-site and ensure the practical application of AI models.

PhysicsX United Kingdom

On-site Permanent

Data Engineer

Design and scale batch and real-time data pipelines in Google Cloud, ensuring robust data quality and system observability. Collaborate with data scientists and engineers to support MLOps and modern data infrastructure. Work across a full-stack cloud environment with cutting-edge tooling and high engineering standards.

Randstad Technologies Recruitment London, City And County Of the City Of London, United Kingdom £300 – £400 pd

On-site Contract

Data Scientist

The Data Scientist will work on a high-impact public sector project, developing and deploying machine learning models to solve complex business problems and support critical services. Key responsibilities include analysing large datasets, building data pipelines, and presenting findings to stakeholders.

Opus Recruitment Solutions Swindon, Wiltshire, United Kingdom £400 – £450 pd

Hybrid Contract

Data Scientist (AI)

This role involves developing advanced AI and machine learning models to support data-driven decision-making within a high-impact, early-stage project. The Data Scientist will focus on large-scale simulation and forecasting, applying these techniques to innovative systems. Work is mostly remote with occasional travel to Nottingham, offering flexibility within a 12-month contract.

Opus Recruitment Solutions Nottingham, Nottinghamshire, United Kingdom £400 – £500 pd

Hybrid Contract

Data Scientist / Deep Learning Practitioner

Develop and deploy deep learning models to enhance underwriting systems, leveraging multi-modal and sequential data. Collaborate with tech and product teams to integrate Large Language Models into customer-facing products. Work across structured and unstructured datasets to deliver data-driven solutions that improve lending decisions and customer experiences.

Capital One Mansfield, Nottinghamshire, United Kingdom

Hybrid Permanent

Data Scientist / Deep Learning Practitioner

Develop and deploy deep learning models to enhance underwriting systems and support LLM-powered product development. Work with multi-modal data and collaborate across tech and product teams to deliver data-driven solutions that improve customer and associate experiences.

Capital One Loughborough, Leicestershire, LE11 2QG, United Kingdom

Hybrid Permanent

Data Scientist / Deep Learning Practitioner

This role involves developing and deploying deep learning models, particularly for sequential data, to enhance underwriting systems and support the integration of Large Language Models in customer-facing products. The candidate will work cross-functionally with tech and product teams, using Python and modern ML frameworks to extract insights from complex structured and unstructured datasets. Collaboration, innovation, and applying advanced machine learning techniques to real-world lending challenges are central to the position.

Capital One Spondon, Derbyshire, United Kingdom

Hybrid Permanent

Data Scientist / Deep Learning Practitioner

Develop and deploy deep learning models to enhance underwriting and lending systems, with a focus on sequential data and multimodal inputs. Collaborate with product and tech teams to integrate Large Language Models into customer-facing solutions. Work across structured and unstructured data to deliver actionable insights that drive business growth and innovation.

Capital One Boultham, Lincolnshire, LN6 7TG, United Kingdom

Hybrid Permanent

Data Scientist / Deep Learning Practitioner

Develop and deploy deep learning models to enhance underwriting systems and support LLM-powered product development. Work across structured and unstructured data, applying advanced techniques like transformers and LSTMs. Collaborate with tech and business teams to deliver data-driven solutions that improve customer and associate experiences.

Capital One Nottingham, Nottinghamshire, United Kingdom

Hybrid Permanent

Data Engineer

Build scalable data infrastructure on AWS to support AI and machine learning systems for public safety applications. Design and manage ETL/ELT pipelines, data models, and orchestration frameworks using Airflow and dbt. Collaborate closely with AI engineers and data scientists in a high-impact, security-focused environment.

Reed Nw14Lb, NW1 4LB, United Kingdom £50,000 – £70,000 pa

Hybrid Permanent Clearance Required

Data Engineer - Gloucester

The role involves developing and managing mission-critical data pipelines that process large-scale, real-time, and unstructured data from diverse sources. The engineer will design ETL workflows, ensure data quality and security, and collaborate with cross-functional teams using distributed computing techniques. Work focuses on national security applications with a strong emphasis on data integration, modelling, and system optimisation within a secure environment.

Searchability NS&D Gloucester, United Kingdom £50,000 – £70,000 pa

Hybrid Permanent Clearance Required

Data Engineer

Design and own a cloud-native knowledge platform that supports AI applications and engineering teams by integrating structured and unstructured data. Develop scalable architectures using vector databases, knowledge graphs, and hybrid retrieval methods to enhance contextual understanding and retrieval accuracy. Focus on evaluating and integrating best-in-class technologies to build robust, production-ready data systems.

Oscar Technology Manchester, United Kingdom £60,000 – £90,000 pa

Hybrid Permanent

Data Engineer

This role involves building and optimizing data pipelines to process and manage large volumes of data, enhancing the central data platform, and working closely with stakeholders to support investment decision-making. The successful candidate will have 3-6 years of experience, a strong background in SQL and Python, and direct experience in the hedge fund sector.

Noir Newcastle upon Tyne, United Kingdom £45,000 – £80,000 pa

On-site Permanent

Data Scientist / Deep Learning Practitioner

Develop and deploy deep learning models to enhance underwriting systems, leveraging multi-modal and sequential data. Collaborate with tech and product teams to integrate Large Language Models into customer-facing solutions, delivering data-driven insights across the lending lifecycle.

Capital One Tower, Greater London, City And County Of the City Of London, United Kingdom

Hybrid Permanent

Data Scientist / Deep Learning Practitioner

Develop and deploy deep learning models to enhance underwriting and lending decisions, using multi-modal and sequential data. Collaborate with tech and product teams to integrate Large Language Models into customer-facing products. Work in a data-driven environment applying advanced ML techniques to solve real-world financial challenges.

Capital One Leicester, Leicestershire, United Kingdom

Hybrid Permanent