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Scientist United Kingdom Jobs

194 Job Offers

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Process Analytical Technology Scientist
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Experienced PAT Scientist sought for a world-class pharmaceutical company in Macclesfield. Deliver in-line and at-line analytical technology to drug development projects using NIR, Raman, IR, UV or LC. Requires BSc/MSc/PhD and proven R&D experience.
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Eurofins Scientific
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Senior Data Scientist
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Senior Data Scientist role in London with Quantum, building production ML models and pipelines in Python and SQL. Hybrid working, private healthcare, competitive salary and bonus. Join a data-driven analytics team.
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Quantum
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AI Scientist
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Join a leading fintech as an AI Scientist in London, building production LLM systems, improving chatbots and document parsers at scale. Requires strong Python engineering, prompt and agent workflow expertise, and business judgement.
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Lendable
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Data Scientist (AI)
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Lendable seeks a Data Scientist (AI) in London to build LLM-driven workflows, improve chatbot quality and expand document extraction pipelines. Strong engineering skills and hands-on LLM experience required.
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Lendable
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Senior Data Scientist
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Senior Data Scientist role at a fast-growing fintech in London. Build and deploy ML models for credit risk, fraud detection and collections optimisation using SQL, Python and cloud tools. Hybrid working with great benefits.
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Zilch
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Data Scientist (Credit) - Car Finance
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Data Scientist (Credit) role in London to build and monitor credit scorecards using bureau, Open Banking and internal data. Requires 2-5 years in decision science within consumer lending, SQL skills and strong commercial judgement.
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marshmallow
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Research Scientist - 3D Reconstruction & Novel View Synthesis
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Join SpAItial in London as a Research Scientist advancing 3D reconstruction and novel view synthesis. Requires a PhD, top-tier publications, and expertise in Gaussian splats, radiance fields, and multi-view geometry.
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SpAItial
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Senior Data Scientist
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Lead high-impact AI projects as a Senior Data Scientist in London. Build bespoke algorithms, architect production-grade ML systems, and translate complex business problems into actionable strategy for retail and consumer clients.
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Faculty
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Data Scientist - Partner Flow Team
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Data Scientist role in London (hybrid) with iwoca's Partner Flow team. Use causal inference and experimentation to drive growth through fintech partners. Requires strong statistics background and commercial experience.
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iwoca
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Research Scientist / Engineer – Reinforcement Learning Infrastructure
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Build distributed RL post-training systems at frontier scale in London. Requires hands-on LLM post-training with RL, PyTorch parallelism, and rollout inference engines like vLLM. Shape how models become truly useful.
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Luma
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Data Scientist
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Join Teya as a Data Scientist in London and build credit risk and pricing models using Python and SQL. You'll explore real-world data, monitor model performance, and grow within a collaborative team. Hybrid working with flexible hours and wellbeing support.
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Teya
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Staff Data Scientist - Paid Marketing Optimization
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Staff Data Scientist role in London to own creative analytics, bidding signal optimization and causal inference. Requires Python, SQL, Spark and advanced modelling skills. Join Preply's unicorn team with equity, health insurance and learning budget.
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Preply
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Staff Data Scientist
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Lead data science at Airwallex in London as Staff Data Scientist. Requires 8+ years experience, advanced quantitative degree, and expertise in SQL, Python, or R. Mentor teams and drive strategic decisions.
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Airwallex
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Senior Scientist – Gene Editing (Bioprocessing R&D)
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Revvity seeks a Senior Scientist in Gene Editing for Bioprocessing R&D in Cambridge, UK. Requires PhD-level expertise in KO/KI strategies, molecular biology, and mammalian cell lines. Join a global team advancing next-gen biotherapeutics.
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Revvity
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Data Scientist - Broker Terms
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Data Scientist role in London with iwoca's Broker Terms team. Shape analytical strategy for a key acquisition channel using Bayesian reasoning, causal inference and experimentation. Hybrid working, flexible hours and strong benefits.
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iwoca
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Data Scientist - Third-Party Acquisition
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Data Scientist role in London (hybrid) focusing on third-party acquisition for iwoca. Design experiments, build models, and drive growth through broker and partner channels in Germany. Requires strong statistics, causal inference, and Python skills.
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iwoca
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Sr. Scientist, Virus Construction
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Lead oncolytic virus design and construction at Replimune in Abingdon. Requires 6-8+ years in cell and gene therapy or virology, molecular cloning and virus characterization expertise, plus project and line management skills.
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Replimune, Inc.
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Senior Applied Data Scientist / ML Engineer
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Senior Applied Data Scientist / ML Engineer role in the UK for a product-minded owner who ships models end-to-end. Requires 5+ years in applied ML, strong Python, SQL, dbt and Snowflake. B2B SaaS a plus.
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United Kingdom, United Kingdom
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Marathon Data
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Senior Data Scientist
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Senior Data Scientist role in Manchester (hybrid) at AJ Bell. Use Python, SQL and machine learning to turn complex business questions into actionable insight. Requires strong analytics, statistics and stakeholder skills.
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United Kingdom, Manchester / Hybrid
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AJ Bell
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Senior Data Scientist
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Senior Data Scientist role at Cint, a ResTech pioneer, to architect statistical methodologies and ML models powering Media Measurement products. Requires a quantitative Master's, 5 years of data science experience, and deep statistical and machine learning expertise. Remote.
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Cint
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About the Scientist role

A career as a scientist offers a dynamic and intellectually stimulating path defined by inquiry, analysis, and innovation. Scientist jobs span a vast array of industries, from healthcare and biotechnology to technology, environmental science, and data-driven business. At its core, the profession involves designing and conducting experiments, studies, or analyses to answer specific questions, test hypotheses, or solve complex problems. Whether working in a laboratory, a field setting, or behind a computer, scientists are responsible for applying rigorous methodologies to generate reliable data and actionable insights.

Common responsibilities for scientist roles include formulating research questions, developing experimental protocols, and collecting and processing samples or datasets. A significant portion of the work involves data analysis, where scientists use statistical software, programming languages like Python or R, and specialized tools to interpret results. Documentation is critical; scientists must maintain detailed records, write technical reports, and prepare findings for publication or presentation to stakeholders. In many settings, collaboration is key—scientists often work in interdisciplinary teams, sharing expertise with engineers, product managers, or medical professionals to translate research into practical applications. Quality control, safety compliance, and staying current with the latest scientific literature are also essential daily duties.

The typical skills and requirements for scientist positions are rigorous. Most roles require at least a bachelor’s degree in a relevant scientific field, with many demanding a master’s or doctorate for senior or specialized positions. Core competencies include strong analytical and critical thinking abilities, meticulous attention to detail, and proficiency in quantitative methods. Technical skills vary by specialization—a data scientist might need expertise in machine learning and big data frameworks, while a clinical lab scientist must master diagnostic techniques and regulatory standards. Communication skills are equally vital, as scientists must clearly convey complex ideas to non-experts, write grant proposals, or present findings at conferences. Adaptability and a commitment to ethical research practices are foundational to the profession.

Ultimately, scientist jobs offer the opportunity to drive discovery and innovation. From developing new treatments and technologies to improving business strategies and environmental stewardship, scientists play a crucial role in advancing knowledge and solving real-world challenges. The profession rewards curiosity, persistence, and a passion for evidence-based problem-solving, making it a deeply fulfilling career for those dedicated to pushing the boundaries of what is known.