8 of 8 Remote Data Science Jobs in the Thames Valley

to empowering confidence by providing the most advanced aesthetic solutions and enhancing patient outcomes. Role Overview We are seeking a highly motivated and talented Graduate to join our clients Data and Analytics team. This role offers a unique opportunity to work with cutting-edge technologies and gain hands-on experience in AI, data analysis, visualization, and management. The … ideal candidate will have a strong analytical mindset and a passion for leveraging data to drive business insights and decision-making. Key Responsibilities: Data Analysis and Reporting: Assist in the collection, processing, and analysis of large datasets from various sources. Develop and maintain dashboards and reports using Microsoft Power BI to visualize key metrics and performance indicators. Collaborate … with cross-functional teams to understand their data needs and provide actionable insights. Data Management and Integration: Work with Palantir ecosystem to manage and integrate complex datasets. Ensure data accuracy, consistency, and reliability across different platforms. Participate in data governance and quality assurance processes. Learning and Development: Gain hands-on experience with Power BI, including data More ❯

Our client, a dynamic and innovative data and analytics organisation, is seeking an experienced Data Scientist to join their growing team. This is an excellent opportunity for a candidate who thrives on solving complex problems with data and is motivated by the transformative impact that Data and AI can deliver within organisations. Key Responsibilities Deliver high … quality data science and analytics solutions, contributing to design, development, and product roadmaps. Collaborate with clients and internal teams to gather requirements, analyse data, and validate solutions. Develop and implement descriptive, predictive, and prescriptive analytics, integrating data from multiple sources. Produce clear documentation, reports, and visualisations. Provide technical input for proposals, solution scoping, and proofs-of … concept. Attend occasional client meetings or events across the UK, Europe, and internationally. Required Experience Strong knowledge of data modelling, machine learning, and/or advanced data analytics. Demonstrable track record of delivering data analytics projects as part of a team. Hands-on experience with collaborative software development and version control (preferably Git). Familiarity with Agile More ❯

the UK and Ireland in modernising, securing, and optimising their digital environments. With a team of over 710 professionals , we deliver deep expertise across Microsoft technologies, cloud transformation, cybersecurity, data and AI, and digital workplace solutions. We are trusted by hundreds of public and private sector organisations to deliver: Cloud transformation and data-driven innovation through Microsoft Azure … approach, and a passion for delivering value to our customers and our people PURPOSE OF JOB: (OVERALL DESCRIPTION OF THE POST WITHIN THE TEAM AND ORGANISATION) As a Microsoft Data & AI Cloud Presales Architect, you will play a pivotal role in shaping how our customers adopt and scale Microsoft's intelligent cloud and data services. This is a … deep technical expertise with commercial acumen and customer engagement. You will work closely with account teams, solution specialists, and delivery consultants to design and position scalable, secure, and innovative Data & AI solutions. These solutions will span Microsoft Azure, Fabric, and OpenAI services, and will be tailored to meet the unique needs of enterprise and public sector clients. Your responsibilities More ❯

We are looking for a data scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of mathematical reasoning- a completed or in progress Masters/PhD … is preferred but not required. Other related fields include, but are not limited to: Data Science, Applied Math and/or Computer Science. Benefits: * This is a full-time or part-time REMOTE position * You’ll be able to choose which projects you want to work on * You can work on your own schedule * Projects are paid hourly … mathematics problems and evaluate their outputs * Evaluate the quality produced by AI models for correctness and performance Qualifications: * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning * A current, in progress, or completed Masters and/or PhD is preferred but not required More ❯

of delivering on our vision. Being part of means that you are part of our vision and of our future - delivering to our farmers, patients, and consumers. Senior Director Data Management Services Position Overview: In the Clinical Research & Development space, you will play a critical role in managing a team that ensures efficient and effective Data Ingestion & Transformation … and external IT partners to align clinical Business Capabilities with business needs. Your responsibilities include establishing a framework to define strategy and goals, ensuring the correct applications for successful data capture and flow in clinical trials, and overseeing digital capability enablement and operations. You will lead a cross-functional and global multimillion-dollar program to establish a capability platform … for clinical data engineering and science. Emphasizing VACC behaviors, you will guide diverse cross-functional resources, ensuring customer needs are met. YOUR TASKS AND RESPONSIBILITIES: Manage a team to ensure efficient Data Ingestion & Transformation operations while maintaining compliance standards; Collaborate with Bayer IT departments, DSAI sub-functions, and external IT partners to align clinical Business Capabilities with business More ❯

I am recruiting for a Palantir Data Scientist to work mostly remote with travel to Maidenhead 4-5 times a month. The role falls inside IR35 so you will be required to work through an umbrella company. You will design future-state, modern data architecture, pipelining, and analysis for transformation at the enterprise level using advanced cloud architectural … principles. Using tools such as Palantir Foundry, you will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data pipelining and statistical programming tools to enterprise data to advance and enable key client outcomes. You will have several years of data science and/or data manipulation and analysis expertise. Strong More ❯

Integrate security into DevSecOps and MLOps pipelines , including CI/CD and infrastructure-as-code environments. Drive adoption of Zero Trust principles, encryption standards, IAM policies, and network/data/application security controls. Collaborate with data scientists, ML engineers, and IT security teams to embed security throughout AI/ML system design and deployment. Your Profile 15+ … including PSD2, GDPR, DORA, and EBA regulatory requirements. Experience designing and securing AI/ML and MLOps environments , including awareness of risks such as adversarial attacks, model poisoning, and data privacy issues. Deep knowledge of: Identity & Access Management (IAM) Network and Application Security Data Protection & Encryption Kubernetes, Containers, and DevSecOps/MLOps practices SIEM, logging, and monitoring Zero More ❯

projects. Why Join? Here, your work means more: Make an impact by shaping AI security frameworks for innovative enterprise projects. Be part of challenging, future-defining programmes in AI, data, and cloud security. Collaborate with industry experts and multidisciplinary teams , while driving standards in one of the most rapidly evolving technology landscapes. The Role As an AI Security Architect … you will: Define and implement AI/ML security strategies, standards, and guidelines . Design and own enterprise security architecture for AI/ML systems, CI/CD, and data pipelines. Conduct security risk assessments and threat modelling for AI/ML workloads. Support testing of AI/ML models, including trustworthiness, fairness, bias, and adversarial attack detection. Collaborate … with data scientists, engineers, and stakeholders to embed security controls in AI/ML pipelines. Enforce robust access control, authentication, and encryption standards . Stay ahead of emerging AI security threats, regulations, and frameworks . Provide advisory guidance to cross-functional teams during AI/ML system design and deployment. Contribute to regulatory compliance efforts (EU AI Act, GDPR More ❯