Remote Data Scientist Jobs in United Kingdom
62 Data Scientist jobs in United Kingdom available for remote work from home. Apply for positions such as Data Scientist, Data Scientist, DATA SCIENTIST and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Data Scientist will produce innovative solutions through exploratory data analysis and develop predictive models using machine learning and advanced mathematics. They will also collaborate with product engineers to translate prototypes into new products and provide business intelligence support.
You will partner with product and operations teams to generate insights and build machine learning models that improve user outcomes and business efficiency. This involves taking ownership of the analytics process from project scoping and design to communicating actionable findings to stakeholders.
The Data Scientist will collect, clean, and analyze structured and unstructured data to solve business problems. They will also assist in building machine learning models and creating data visualizations to support product development.
Evaluate and red-team AI-generated data analyses to ensure statistical rigor and sound methodology. Build, train, and evaluate machine learning models while documenting assumptions and collaborating with cross-functional teams.
The data scientist will develop, deploy, and maintain KPI trackers and experimental product features while managing automated data pipelines. They are responsible for writing robust code to process data, building prototype models, and monitoring production systems using Docker and AWS.
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As the first dedicated Data Scientist, you will turn raw, messy data into insights on trends, audiences and performance, and open up new data sources. You will also prototype and deploy ML models for forecasting, design and read experiments, and own the dashboards and reports leadership relies on.
The Senior Data Scientist will develop and implement machine learning models and analytical tools to support business intelligence and clinical research strategies. They will collaborate with functional teams to interpret data, monitor model performance, and provide innovative solutions to meet complex data modeling requirements.
Evaluate AI model outputs across statistics, machine learning, and quantitative reasoning to ensure high-quality performance. Create expert-level prompts, datasets, and reference solutions while providing structured feedback to improve model capabilities.
Develop and validate predictive models and AI/GenAI solutions using scientific and experimental data to support Crop Protection research, discovery, and business decisions. Collaborate with scientists and technical teams to deploy scalable, responsible analytical applications, communicate insights, mentor junior colleagues, and guide AI initiative priorities.
You will define and own product health metrics such as activation, feature adoption, and retention across the company's platforms. Additionally, you will design and analyze product experiments while partnering with product and growth teams to turn ambiguous questions into actionable insights.
Design, develop, and optimize advanced Pricing and Revenue Growth Management models to support strategic commercial decisions. Collaborate with cross-functional teams to translate complex business challenges into statistically robust predictive models.
The Junior Data Scientist will build and maintain data pipelines to analyze campaign performance and audience behavior while developing models for audience profiling and content analysis. They will also prototype LLM-based agents and communicate actionable insights to product, sales, and client teams.
Develop and evaluate predictive models and machine-learning data products that extract actionable signals from large-scale behavioral and event-stream data. Partner with Product and Engineering to productionize, monitor, and improve models, while helping shape the company’s AI and data science strategy.
Design and implement operations research and machine learning models to solve complex global supply chain challenges. Collaborate with cross-functional teams to deploy scalable, production-ready analytical solutions that drive cost efficiency and service performance.
Develop, deploy, and maintain predictive models for LTV, churn, and retention while owning the modeling roadmap. Partner with data engineering to productionize models and build AI-powered analytics tools to inform business decisions.
Develop health economic modelling platforms and analytical software using R and C++ to support evidence-based healthcare decision-making. Collaborate with clients and internal teams to deliver high-quality models, documentation, and technical solutions for complex healthcare questions.
The role involves designing, implementing, and validating algorithmic components within a consulting project team. You will also develop services and APIs to integrate applications with algorithms while solving mathematical optimization and operations research problems.
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The Principal/Senior Clinical Scientist leads the clinical science function for oncology and rare disease programs, ensuring high-quality data review and study execution from start-up to database lock. They serve as a subject matter expert, guiding data capture requirements and collaborating with cross-functional teams to resolve data issues and maintain participant safety.
The Principal/Senior Clinical Scientist leads the clinical science function for oncology and rare disease programs, ensuring high-quality data review from study start-up through database lock. They act as a subject matter expert to guide data capture requirements, resolve data issues, and collaborate with cross-functional teams to ensure successful study execution.
Build reproducible environments and implement reference solutions for data science tasks. Develop evaluation criteria and run coding agents to identify and refine task requirements.
You will drive product and business impact by designing experiments, building statistical models, and implementing machine learning solutions. You will also define growth metrics and develop monitoring pipelines to detect trends and anomalies in search traffic.
The role involves building complex machine learning and econometric models to solve unstructured business problems while ensuring data stability and production scalability. You will also lead data sourcing efforts, mentor less experienced team members, and collaborate with stakeholders to translate model outcomes into business value.
The role involves leading the migration of an R-Framework to the cloud and optimizing integration with REST APIs and JSON structures. Additionally, the developer will drive large-scale data reconciliation and support the Risk department in streamlining deployment pipelines.
You will serve as the primary analytics partner to the Finance team, transforming billing and revenue data into actionable insights. This includes building forecasting models, managing KPI layers, and supporting pricing and planning decisions as the company scales.
You will develop and deploy data-driven algorithms and machine learning models to improve the accuracy of the real-time identification platform. Additionally, you will lead technical strategies and foster a data-driven culture while managing projects from concept to production.
You will lead the data strategy for a large domain, identifying and solving complex business problems while influencing senior leadership. You will also mentor data scientists and establish best practices for experimentation, modeling, and decision science across the organization.
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You will apply quantitative analysis and data mining to understand user behavior and inform product strategy. Additionally, you will guide product teams in measuring key metrics and running A/B experiments to drive product improvements.
Define and track ad network KPIs, build dashboards and ClickHouse data models, and conduct analyses to identify network trends, issues, and opportunities. Improve data quality, attribution, entity resolution, and subscriber enrichment, and collaborate with product, business, engineering, and machine learning teams to guide decisions and run brand-lift experiments.
The Senior Data Scientist will partner with product and security teams to develop data strategies and AI-driven solutions for anti-abuse and safety. They are responsible for delivering quantitative insights, building measurement frameworks, and collaborating on product development to ensure platform integrity.
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