276 to 300 of 827 Remote Data Science Jobs

of a small, agile and growing business. Our client’s team of analysts, consultants and Defence SMEs work closely with their customers to deliver high-impact services and solutions. Data science and operational analysis are a key part of their company’s capability. They are growing this capability and are looking for a highly motivated and capable Senior … Experience/Qualifications – Senior Defence Analyst: The following skills and experience will enable you to excel in this role: Operational analysis approaches and techniques Advanced Excel skills, including VBA Data analysis and data science Experience working within UK MoD Stakeholder engagement, requirements gathering and process design. A self-starter and team player. Good communication skills, enabling you … environments Using agile approaches to develop models and tools, including requirements capture, design, development, testing and management. Collating, managing, structuring, analysing, presenting, and visualising data. Deriving unique insights from data to inform senior-level decision making. Producing internal and external presentations and reports to summarise processes, findings, recommendations, and decision analysis results. Delivering high quality analysis and outputs. Taking More ❯

LEAD DATA ENGINEER £80,000 - £90,000 - LONDON Company Our client is a global leader in data and analytics , working with major brands across 90+ markets. They combine deep industry expertise, vast datasets, and advanced technology to help businesses understand people and drive smarter decisions. The company is backed by a top-tier private equity firm and is … currently investing heavily in its data and technology platforms, offering the feel of a scale-up within a global business. Role As a Lead Data Engineer , you'll take ownership of designing, maintaining, and evolving the data pipelines that power large-scale analytical and machine learning models. You'll work closely with Data Scientists, Analysts, and … Software Engineers to deliver robust, scalable data infrastructure. The focus areas include building and optimising pipelines for survey data, improving anti-fraud models, and supporting new data science initiatives.You'll manage two mid-level engineers, providing technical direction, mentoring, and helping the team refine ways of working. The role is hands-on and collaborative, offering the More ❯

About the roleWe are excited to be hiring a new Data Scientist into our team! Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card … products.You will have access to the latest machine learning techniques combined with a rich data repository to deliver best in market risk models.This role will primarily focus on our US unsecured loans and credit cards business. Our team's objectives The data science team develops proprietary behavioural models combining state of the art techniques with a variety … of data sources that inform market-facing underwriting and pricing decisions, scorecard development, and risk management. Data scientists work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions. We self-serve with all deployment and monitoring, without a separate machine learning engineering team. Design, implement, manage More ❯

About Us: We’re a team of passionate innovators empowering businesses through the transformative power of data, machine learning, and artificial intelligence. At Inference Group, our mission is simple: to help organisations unlock their true potential and drive sustainable growth. As we expand rapidly, we’re looking for creative, curious minds who want to make a real impact. Here … you’ll collaborate with leading experts in data, AI, and technology to help clients harness the full potential of their data. We’re entering our next phase of growth and are looking for a skilled AI Engineer to broaden our engineering expertise — designing, programming, and training complex networks of algorithms to expand our AI programmes. What you'll be … doing In this role, you’ll evaluate and compare algorithm performance using large, real-world data sets. Design and implement machine learning algorithms. Undertake data mining from multiple sources to gain insights that accelerate algorithm and model performance. Play a pivotal role in supporting client objectives through AI-driven insights that enable better business decisions and strategic planning. More ❯

About Us: We’re a team of passionate innovators empowering businesses through the transformative power of data, machine learning, and artificial intelligence. At Inference Group, our mission is simple: to help organisations unlock their true potential and drive sustainable growth. As we expand rapidly, we’re looking for creative, curious minds who want to make a real impact. Here … you’ll collaborate with leading experts in data, AI, and technology to help clients harness the full potential of their data. We’re entering our next phase of growth and are looking for a skilled AI Engineer to broaden our engineering expertise — designing, programming, and training complex networks of algorithms to expand our AI programmes. What you'll be … doing In this role, you’ll evaluate and compare algorithm performance using large, real-world data sets. Design and implement machine learning algorithms. Undertake data mining from multiple sources to gain insights that accelerate algorithm and model performance. Play a pivotal role in supporting client objectives through AI-driven insights that enable better business decisions and strategic planning. More ❯

About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus … on feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting. What you'll do Develop and maintain the machine learning models which define our competitive advantage in the financial services market. Explore and evaluate data, using advanced feature generation and categorisation techniques, in … order to stay at the forefront of innovation. Analyse tabular and non-tabular data, such as text, logs, or time series, to produce powerful new insights. Consult on complex statistical test design, to efficiently learn our way into new areas of the market. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data More ❯

edge analytics and tools in support of the cyber mission space. Join our team to contribute to innovative engineering projects, creating reliable, scalable, and high-performing software for efficient data processing and informed decision-making. This position is ideal for individuals who are passionate about designing efficient, secure, and scalable software and thrive in a collaborative environment. You'll … Learning Lifecycle from experimentation to production uses. Responsible for the design, development, training, and optimization of machine learning models for use in operational DoD/IC environments. Work with data from a variety of classified and open-source sources. Build and maintain end-to-end ML pipelines including data ingestion, feature engineering, model training, evaluation, and deployment. Collaborate … with mission analysts, data engineers, and software developers to integrate ML solutions into production systems. Ensure model explainability, auditability, and robustness in accordance with DoD and IC compliance and security standards. Participate in cross-functional agile teams, contributing to architecture discussions, prototyping efforts, and operational support. Keep abreast of emerging machine learning techniques and evaluate their applicability to mission More ❯

feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field - 3+ years of cloud computing technologies experience - 3+ years of professional software development experience - 3+ years of in design/… or Associate's degree or above - Knowledge of compliance and security standards across the enterprise IT landscape - Experience communicating technical concepts to a non-technical audience - Experience with database, data warehouse or data lake solutions Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. More ❯

finances for responsible American gun owners. Learn more about the USCCA at As a Technical Product Manager for Advanced Analytics, you'll directly contribute to this mission by delivering data and analytics solutions that empower smarter decisions, improve member services, and drive responsible gun ownership awareness. Few project management roles offer such a clear connection between your work and … access to platforms like Snowflake, Sigma, Tableau, and modern project management tools such as ClickUp, you'll work in a forward-leaning analytics environment. As Delta Defense expands its data science and AI capabilities-including predictive modeling, natural language processing, and generative AI-you'll help oversee projects that push the boundaries of how data drives business … to engage with technical and non-technical stakeholders to ensure alignment and transparency. The TPM will also be responsible for gathering and analyzing business requirements, supporting the validation of data and reports, and driving continuous process improvements within the analytics function. Technical Product Manager, Advanced Analytics - Essential Duties & Responsibilities: Lead and manage data and analytics projects from inception More ❯

Job Title: Senior Pharmacoepidemiologist – RWE & Data Science Location: London (Hybrid) Salary: £60,000 – £90,000 DOE About the Role A venture-backed TechBio company in London is hiring a senior-level epidemiologist or RWE programmer to help build the future of data-driven drug development. You’ll join a team that’s rethinking the traditional model - developing … and applying real-world evidence to accelerate drug development. This role combines scientific depth with software fluency. It’s ideal for someone who thrives at the intersection of health data, analytics, and product-led strategy. Key Responsibilities Design and analyse non-interventional studies, including regulatory-grade and exploratory projects Collaborate with engineering to build internal tools that support and … scale RWE applications Engage with external partners to guide RWE strategy and deliver high-quality outputs Translate complex data into actionable insights for internal stakeholders and regulators Lead protocol and SAP development, contribute to CSRs and publication strategy Apply modern causal inference techniques to support study validity and robustness Ideal Candidate MSc/PhD in Epidemiology, Pharmacoepidemiology or a More ❯

Job Title: Senior Pharmacoepidemiologist – RWE & Data Science Location: London (Hybrid) Salary: £60,000 – £90,000 DOE About the Role A venture-backed TechBio company in London is hiring a senior-level epidemiologist or RWE programmer to help build the future of data-driven drug development. You’ll join a team that’s rethinking the traditional model - developing … and applying real-world evidence to accelerate drug development. This role combines scientific depth with software fluency. It’s ideal for someone who thrives at the intersection of health data, analytics, and product-led strategy. Key Responsibilities Design and analyse non-interventional studies, including regulatory-grade and exploratory projects Collaborate with engineering to build internal tools that support and … scale RWE applications Engage with external partners to guide RWE strategy and deliver high-quality outputs Translate complex data into actionable insights for internal stakeholders and regulators Lead protocol and SAP development, contribute to CSRs and publication strategy Apply modern causal inference techniques to support study validity and robustness Ideal Candidate MSc/PhD in Epidemiology, Pharmacoepidemiology or a More ❯

UK (With Some Client Travel to London) £120,000 – £150,000 + Bonus + LTIP + Shares The Company This is a unique opportunity to join a fast-growing data consultancy at a pivotal moment in their journey; they’ve built a strong reputation for delivering exceptional analytics, engineering, and AI-driven solutions, and are now they’re looking … driving both strategy and delivery, and are motivated by building and developing high-performing teams, this is your chance to shape the direction of a high-growth, high-performance Data Consultancy! The Role As Analytics Consulting Director, you will play a critical role in shaping strategy, growing revenue, and leading complex data initiatives for clients. You will report … goals Lead end-to-end consulting engagements, from scoping to delivery, ensuring measurable impact and client value Upskill and mentor consultants, raising technical and consulting standards across engineering, analytics, data science, and visualisation Act as a trusted advisor to senior stakeholders, running workshops and shaping priorities, KPIs, and roadmaps Partner with delivery teams to ensure projects run smoothly More ❯

us shape the future of AI. What You’ll Be Doing Research, train, and fine-tune large language models (LLMs) for real-world applications. Develop and optimise pipelines for data collection, preprocessing, and model evaluation. Collaborate with product engineers to deploy models into scalable production systems. Experiment with prompt engineering, RAG architectures, and multimodal models. Contribute to internal tools … of ML/AI research — we give you time and resources to explore, learn, and publish. What We’re Looking For 0–3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch/TensorFlow/Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings … learning, creativity, and personal growth over bureaucracy. Perfect For Graduates or junior engineers with a passion for AI/ML looking to break into applied LLM engineering. Researchers or data scientists eager to move from theory to real-world deployment. Builders who want to join an early-stage company where their work genuinely moves the needle. Machine Learning Engineer More ❯

Go Backend Engineer (Data Platform & APIs) - Northern Ireland (Remote-first) * Salary: £75,000-£150,000 + bonus + benefits About the Company: Our client is scaling an ML-driven data and analytics platform and modernizing their engineering standards. Their current stack includes Python, GoLang, TensorFlow, PyTorch, AWS, and Kubernetes , with a focus on building scalable, ML-driven data … now with further expansion in 2026 and building a high-impact team in Northern Ireland. The Role: You'll build robust backend services in Go that power both the data platform (data lake, pipelines, model serving) and product-facing APIs . You'll collaborate with Data Science (leaders, DS, ML engineers, data engineers) to standardize … clear ownership, modern cloud infrastructure, and working at the intersection of Go + ML platforms . What You'll Do: Platform & ML Enablement * Design and implement Go services for data ingestion, transformation, and orchestration on AWS & Kubernetes * Integrate with Python-based ML services (TensorFlow/PyTorch), enabling model training, evaluation, and real-time/batch inference * Help standardize frameworks More ❯

Job Title: Data Scientist. Location: NY, LA (Hybrid) Description: The preference is for candidates with prior experience in the music industry/Or relevant skills, as this would bring relevant domain insights. However, in case such profiles are limited, we can also consider candidates with strong backgrounds in general marketing analytics and e-commerce data science, as More ❯

Remote Role – Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Science Engineer - Integrated Pest Management (IPM) Research & Solutions The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science … findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our client's Sustainability team as a lead technical specialist in our R-focused Research Software Engineering group to specialise particularly in Integrated Pest Management. You … ll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions to solve global issues in Integrated Pest Management (IPM). Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/CD systems to enhance team More ❯

DATA PRODUCT MANAGER UP TO £100,000 FULLY REMOTE (Occasional meetings in London) Please note, this company is unable to sponsor, and you must be a UK resident to apply THE COMPANY Join a pioneering AI-driven technology business leading innovation in the search intelligence space! THE ROLE As a Data Product Manager, you can expect to be … involved in the following: Own and evolve the data product roadmap, articulating a clear vision for the data platform. Manage and prioritise internal data initiatives that have high customer and commercial impact. Partner with engineering and science teams to ensure data quality, scalability, and cost-efficiency. Oversee data model management and ensure performance aligns … business needs. Lead discovery sessions to align business and technical priorities. Contribute to the strategy behind AI-driven search intelligence and predictive modelling. Collaborate cross-functionally with Product Managers, Data Scientists, Engineers, and Designers to deliver high-value data solutions. YOUR SKILLS AND EXPERIENCE 5–10 years’ experience, including at least 3 years in Data Engineering or More ❯

Pest Management (IPM) Remote Role – Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Science Engineer - Integrated Pest Management (IPM) Research & Solutions The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable … practices through science-backed analytics. Their software provides direct access to advanced sustainability models and insights. Their Sustainability division consists of specialised Research Software Engineers who transform scientific findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data … in our R-focused Research Software Engineering group to specialise particularly in Integrated Pest Management. You'll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions to solve global issues in Integrated Pest Management (IPM). Core Functions Lead technical best practices across R package design, code architecture More ❯

Description We are looking for a talented Data Scientist to support the analysis of mission critical and mission-support data sets. Requirements Essential Job Responsibilities The ideal candidate will have worked with big data systems, complex structured and unstructured data sets, and have supported government data analysis and analytic development efforts in the past. The … candidate will have experience authoring data transforms and statistical analytics for data quality and conformance validation. To excel in the position, the candidate shall have a strong attention to detail, be able to understand technical complexities, and have the willingness to learn and adapt to the situation. The candidate will work both independently and as part of a … team to accomplish client objectives. Minimum Qualifications 9 years total relevant experience plus the following: BS in Engineering, Computer Science, or technical degree or industry experience equivalent (+4 years relevant experience can substitute for a BS degree) Security Clearance-Current active TS, SCI eligible Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine learning More ❯

Job Title: Head of Data Science Location: Central London (Zone 1) – hybrid Working: 2–3 days/week in-office + ~20–25% EU travel About the Company A billion Euro international B2C company operating across major European markets. The company has recently centralised its data leadership to build a world-class predictive AI capability. With thousands … deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

Job Title: Head of Data Science Location: Central London (Zone 1) – hybrid Working: 2–3 days/week in-office + ~20–25% EU travel About the Company A billion Euro international B2C company operating across major European markets. The company has recently centralised its data leadership to build a world-class predictive AI capability. With thousands … deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

Job Title: Head of Data Science Location: Central London (Zone 1) – hybrid Working: 2–3 days/week in-office + ~20–25% EU travel About the Company A billion Euro international B2C company operating across major European markets. The company has recently centralised its data leadership to build a world-class predictive AI capability. With thousands … deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

Job Title: Head of Data Science Location: Central London (Zone 1) – hybrid Working: 2–3 days/week in-office + ~20–25% EU travel About the Company A billion Euro international B2C company operating across major European markets. The company has recently centralised its data leadership to build a world-class predictive AI capability. With thousands … deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

Job Title: Head of Data Science Location: Central London (Zone 1) – hybrid Working: 2–3 days/week in-office + ~20–25% EU travel About the Company A billion Euro international B2C company operating across major European markets. The company has recently centralised its data leadership to build a world-class predictive AI capability. With thousands … deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

track and manage issues and faults across manufacturing, logistics, car build, and race days. Innovation around finding patterns and relationships between faults and issues will be key, by using data, analytics, and machine learning to deliver world championship reliability tools. Role Dimensions The Software & Data Science group in McLaren F1 is responsible for the analysis, design, and … delivery of software tools and methodologies which improve the team and car's performance. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focused platforms and solutions. In reliability engineering, you will understand issue tracking and management, root cause analysis, integrating with other systems through API's, and … which may include limited on-call to resolve mission critical issues. Support the prioritisation and resource requirements of projects across Engineering. Knowledge, Skills and Experience Essential Bsc in Computer Science or equivalent discipline (2:1 or above) or equivalent industry experience. Extensive commercial experience delivering projects using agile/lean methodologies. A strong full stack software development background with More ❯