18 of 18 Remote Big Data Jobs in the Thames Valley

Lead Data Scientist (SC Cleared) Location: Remote-working – Occasional visits to London office Rate: £650.00pd (Inside IR35) Security Clearance: SC Cleared (or eligibility to obtain SC clearance) Our central government customer is looking for an exceptional Lead Data Scientist to guide data-driven initiatives and deliver impactful solutions to complex challenges. You will lead a team of … Your expertise will drive the integration of cutting-edge technologies, ensuring innovation at the forefront of government strategies. Key Responsibilities Provide technical leadership and mentoring to a team of data scientists and analysts. Define and implement data science strategies aligned with organizational objectives. Lead the development of machine learning models and advanced statistical techniques to support policy-making … and operational efficiency. Collaborate with senior stakeholders to understand their goals and translate them into actionable data projects. Oversee the design, deployment, and management of data pipelines and big data platforms. Develop data governance frameworks, ensuring ethical and secure handling of sensitive information. Identify emerging technologies and methodologies to enhance the organization's data More ❯

Lead Data Scientist (SC Cleared) Location: Remote-working – Occasional visits to London office Rate: £650.00pd (Inside IR35) Security Clearance: SC Cleared (or eligibility to obtain SC clearance) Our central government customer is looking for an exceptional Lead Data Scientist to guide data-driven initiatives and deliver impactful solutions to complex challenges. You will lead a team of … Your expertise will drive the integration of cutting-edge technologies, ensuring innovation at the forefront of government strategies. Key Responsibilities Provide technical leadership and mentoring to a team of data scientists and analysts. Define and implement data science strategies aligned with organizational objectives. Lead the development of machine learning models and advanced statistical techniques to support policy-making … and operational efficiency. Collaborate with senior stakeholders to understand their goals and translate them into actionable data projects. Oversee the design, deployment, and management of data pipelines and big data platforms. Develop data governance frameworks, ensuring ethical and secure handling of sensitive information. Identify emerging technologies and methodologies to enhance the organization's data More ❯

Data Governance Analyst Full time position Location: Reading Hybrid - 2x days in office Salary: 47,000 - 71,000 (depending on experience) As a Data Governance Analyst , you will support the Data Governance Manager in implementing and maintaining the organization's data governance framework. Your role will involve ensuring data quality, consistency, and compliance across various … data domains. You will work closely with data owners, data stewards, and IT teams to enforce data governance policies and procedures, and support Master Data Management (MDM) initiatives. What you'll be doing as a Data Governance Analyst Assist in developing and articulating the organisation's data governance vision, strategy and roadmap. Support … the activation and enforcement of the data governance program vision. Collaborate with various stakeholders, including IT teams, business units, and data owners. Ensure that master data is accurately represented, consistently defined and easily accessible across the organisation. Provide training and guidance to employees on data governance principles, policies and procedures. Assist in establishing mechanisms for governance More ❯

Data Governance Analyst Full time position Location: Reading | Hybrid - 2x days in office Salary: £47,000 - £71,000 (depending on experience) As a Data Governance Analyst , you will support the Data Governance Manager in implementing and maintaining the organization's data governance framework. Your role will involve ensuring data quality, consistency, and compliance across various … data domains. You will work closely with data owners, data stewards, and IT teams to enforce data governance policies and procedures, and support Master Data Management (MDM) initiatives. What you'll be doing as a Data Governance Analyst Assist in developing and articulating the organisation's data governance vision, strategy and roadmap. Support … the activation and enforcement of the data governance program vision. Collaborate with various stakeholders, including IT teams, business units, and data owners. Ensure that master data is accurately represented, consistently defined and easily accessible across the organisation. Provide training and guidance to employees on data governance principles, policies and procedures. Assist in establishing mechanisms for governance More ❯

Development: Designs and implements advanced artificial intelligence models and systems, including generative and agentic AI, to address complex business challenges. End-to-End Pipeline Engineering Develops and maintains scalable data and machine learning pipelines, ensuring seamless integration from data ingestion through model deployment and monitoring. Cloud Platform Delivery Works with AI Architects to design and delivers AI solutions … reliable AI delivery. Performance Optimization Monitors, evaluates, and optimizes the performance of AI models and infrastructure for accuracy, e Technical Leadership Provides technical guidance and mentorship to engineering and data science teams, fostering a culture of innovation and high-quality software development. Collaboration And Communication Collaborates with cross-functional teams and communicates complex technical concepts to both technical and … delivers AI solutions on leading cloud platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform), leveraging native AI/ML services and cloud-native architectures. Develops and manages robust data pipelines, big data technologies (e.g., Spark, Kafka), and data management practices for feature stores and training data. Implements best practices for the machine learning lifecycle, including More ❯

regulated environments, from centralised Williams Lea onshore facilities, and through best cost company offshore locations. Purpose of the Role This role is responsible for maintaining and expanding the enterprise data model, and for developing, publishing, and maintaining business-critical reports for both internal and external stakeholders. You will collaborate closely with the Data & Analytics team, business stakeholders, and … subject matter experts to solve organizational challenges through reporting, analysis, and data visualization. Key Responsibilities Provide enterprise-wide expertise in data modelling, data quality management, report design, environment management, and automated data ingestion/refresh Act as a creative problem-solver, contributing to the full product lifecycle and maintaining an organized, scalable reporting environment Produce reports … CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML More ❯

regulated environments, from centralised Williams Lea onshore facilities, and through best cost company offshore locations. Purpose of the Role This role is responsible for maintaining and expanding the enterprise data model, and for developing, publishing, and maintaining business-critical reports for both internal and external stakeholders. You will collaborate closely with the Data & Analytics team, business stakeholders, and … subject matter experts to solve organizational challenges through reporting, analysis, and data visualization. Key Responsibilities Provide enterprise-wide expertise in data modelling, data quality management, report design, environment management, and automated data ingestion/refresh Act as a creative problem-solver, contributing to the full product lifecycle and maintaining an organized, scalable reporting environment Produce reports … CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML More ❯

regulated environments, from centralised Williams Lea onshore facilities, and through best cost company offshore locations. Purpose of the Role This role is responsible for maintaining and expanding the enterprise data model, and for developing, publishing, and maintaining business-critical reports for both internal and external stakeholders. You will collaborate closely with the Data & Analytics team, business stakeholders, and … subject matter experts to solve organizational challenges through reporting, analysis, and data visualization. Key Responsibilities Provide enterprise-wide expertise in data modelling, data quality management, report design, environment management, and automated data ingestion/refresh Act as a creative problem-solver, contributing to the full product lifecycle and maintaining an organized, scalable reporting environment Produce reports … CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML More ❯

regulated environments, from centralised Williams Lea onshore facilities, and through best cost company offshore locations. Purpose of the Role This role is responsible for maintaining and expanding the enterprise data model, and for developing, publishing, and maintaining business-critical reports for both internal and external stakeholders. You will collaborate closely with the Data & Analytics team, business stakeholders, and … subject matter experts to solve organizational challenges through reporting, analysis, and data visualization. Key Responsibilities Provide enterprise-wide expertise in data modelling, data quality management, report design, environment management, and automated data ingestion/refresh Act as a creative problem-solver, contributing to the full product lifecycle and maintaining an organized, scalable reporting environment Produce reports … CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML More ❯

regulated environments, from centralised Williams Lea onshore facilities, and through best cost company offshore locations. Purpose of the Role This role is responsible for maintaining and expanding the enterprise data model, and for developing, publishing, and maintaining business-critical reports for both internal and external stakeholders. You will collaborate closely with the Data & Analytics team, business stakeholders, and … subject matter experts to solve organizational challenges through reporting, analysis, and data visualization. Key Responsibilities Provide enterprise-wide expertise in data modelling, data quality management, report design, environment management, and automated data ingestion/refresh Act as a creative problem-solver, contributing to the full product lifecycle and maintaining an organized, scalable reporting environment Produce reports … CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform to automate model deployment and system setup Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML More ❯

Senior Databricks Data Architect – London (Hybrid) Permanent | Global Analytics & Digital Solutions | Major Growth Projects - £90K to £125k + bonus and benefits Are you a Databricks expert who loves architecting large-scale data platforms, shaping cloud strategy, and solving complex client challenges? This is a senior role within a $1B global systems integrator supporting major enterprise clients across Banking … Insurance, BFI and Retail. You'll operate as a technical authority, shaping future-state data architectures and guiding cross-functional teams to deliver impactful, cloud-native solutions. What You'll Be Doing Technical Leadership – Lead and mentor engineering teams delivering end-to-end data solutions across cloud and on-premise environments. Solution Architecture – Design modern data lakes … warehouses, and lakehouses using Databricks, with additional exposure to Snowflake, Azure Synapse, or Fabric being a bonus. Data Modelling – Build and optimise enterprise-grade data models across varied data layers. ETL/ELT Engineering – Use tooling such as Databricks, SSIS, ADF, Informatica, IBM DataStage to drive efficient data ingestion and transformation. Data Governance – Implement governance More ❯

About the role The Analytics Capabilities team consists of the Analytics Product Managers, Data and Business Intelligence Analysts, Software Developers and Implementation Architects. The team is responsible for defining, prioritising and delivering the self-serve analytics strategy, user behavioural data tracking and optimisation capability. The Analytics Implementation squad, where this role sits, is within this team. The squad … focuses on enabling more informed and faster decisions by designing new analytics implementations and re-implementations, raising the implementation coverage across core sites alongside data quality enhancements. This position will suit a Javascript Web Developer that would be interested in working on data manipulation and data engineering. Working with strings, numbers, arrays, structured object to structure, filter … apps, able to demonstrate clear process for QA and sign-off – tools and methodologies Experience of using analytics, data storage, data processing and business intelligence tools – SQL, BigData is a bonus. Personal Strong communication skills with people of different skills and levels. Flexibility, ability to plan and organise, responsiveness, creativity, self-starter. Ability to demonstrate strong written, verbal More ❯

Hands-on experience developing ML and/or deep learning models for scientific or engineering problems Experience with MLOps tools such as Airflow, MLflow, and containerisation (e.g., Docker) Strong data-visualisation and storytelling skills Interest in materials discovery, computer vision, big data, or optimisation Collaborative communicator, organised, proactive, and curious Desired Skills Masters degree in ML, mathematics More ❯

any of the following is an asset: Testing performance with JMeter or similar tools Web services technology such as REST, JSON or Thrift Testing web applications with Selenium WebDriver Big data technology such as Hadoop, MongoDB, Kafka or SQL Network principles and protocols such as TLS and TCP Continuous integration systems such as Jenkins or Bamboo Continuous delivery More ❯

processes, working with post-sales teams to provide consistency Requirements 8+ years of experience with technical sales of distributed systems and infrastructure software like databases, message queues, SaaS, or Big Data products. Operational experience with a Docker-based container platform. Familiarity with Developer tools, including CI and CD pipelines. Familiarity with cloud technologies - Any of the three major More ❯

processes, working with post-sales teams to provide consistency Requirements 8+ years of experience with technical sales of distributed systems and infrastructure software like databases, message queues, SaaS, or Big Data products. Operational experience with a Docker-based container platform. Familiarity with Developer tools, including CI and CD pipelines. Familiarity with cloud technologies - Any of the three major More ❯

processes, working with post-sales teams to provide consistency Requirements 8+ years of experience with technical sales of distributed systems and infrastructure software like databases, message queues, SaaS, or Big Data products. Operational experience with a Docker-based container platform. Familiarity with Developer tools, including CI and CD pipelines. Familiarity with cloud technologies - Any of the three major More ❯

processes, working with post-sales teams to provide consistency Requirements 8+ years of experience with technical sales of distributed systems and infrastructure software like databases, message queues, SaaS, or Big Data products. Operational experience with a Docker-based container platform. Familiarity with Developer tools, including CI and CD pipelines. Familiarity with cloud technologies - Any of the three major More ❯