301 to 325 of 818 Data Science Jobs in London

Global Operations team of 30+ colleagues in five locations. The successful candidate will lead the efficient and standardised delivery of Customer Success operations globally, taking accountability for operational consistency, data accuracy, KPI performance, and cross-team collaboration. This is a hands-on role where you will be expected to own initiatives, drive outcomes, and deliver measurable improvements. Reports to … QBRs, documentation, and efficiency projects), working closely with the Customer Experience Improvement Manager to ensure efficient programme management, global alignment and report outcomes to senior leadership. Partner with Product, Data Science and Data Operations teams to strengthen processes to enhance data quality for clients and our Customer Success team. Own accountability for Planhat platform enhancements (our … central customer data tool), working with the Data Manager to prioritise improvements, gather feedback, and measure success outcomes. Driving KPIs & Data Accuracy Hold accountability for accuracy of customer and operational data, driving SLAs, managing escalations with our external partner where required. Deliver monthly Operational KPIs (NPS, ROI, TTV, savings, etc), addressing technical issues with the Data More ❯

into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data … evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring … scalability, reproducibility, and monitoring of deployed models. Requirements · 6+ years in data science/ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring More ❯

We are currently seeking an experienced informaticist to join our Informatics team who will lead advanced analyses of methodological data to inform study design decisions. The Informatics team utilizes informatics principles and techniques to architect, mine, analyze, and visualize clinical trial data to inform study design choices for pharmaceutical development. The informaticist will create predictive data models … to identify and analyze patterns, then program compelling visualizations of the data to support feasibility strategies. The team is seeking an experienced candidate for a senior-level position to contribute new skills to our team, support team growth, and foster fellow analyst development. The Informatics Team is a highly collaborative team with members in both the Cincinnati and London … offices. This team supports clinical operation, medical, and feasibility teams with advanced data query and analysis. The Informatics Team also works side-by-side business analytics and software engineering to architecture innovative data storage and access solutions for optimal data utilization strategies. If you are an individual with experience in informatics, data science, statistics or More ❯

Lead Data Engineer London, UK (Hybrid) Innovative FinTech About the Company: We are partnered with a high-growth FinTech company headquartered in London that is redefining how technology and data can transform financial services. Their mission is to deliver smarter, faster, and more secure financial solutions through cutting-edge platforms powered by data. With rapid expansion and strong … investment backing, they are scaling their engineering and data capabilities to support ambitious growth plans. The Role: Our client is seeking a Lead Data Engineer to take ownership of their data infrastructure and lead the build-out of scalable, reliable, and secure data pipelines. This is a senior hands-on role, where you'll also provide … technical leadership to a small but growing team. You'll work closely with data scientists, analysts, and software engineers to ensure the company's data strategy underpins their innovative financial products. Key Responsibilities: Lead the design, development, and optimisation of data pipelines and ETL processes. Architect scalable data solutions to support analytics, machine learning, and real More ❯

flagship AI products, LexisNexis Classification. The team modernises the application with new features and functions to enrich the users' experience, as well as implementing research from our in-house data science team at scale. This is an opportunity to be a key part of a team that works on modern, cloud native infrastructure and become an essential part … directly to solving technical problems as well as guiding your team to success. Key Responsibilities: Owning and executing the backlog of product modernisation. Leading the delivery and deployment of data science research into scalable AI-powered features. Creating performance- and cost-optimised services. Able to communicate and take ownership within the team and across team boundaries. Writing and More ❯

Data Scientist - Brand Uplift/Marketing London – Hybrid Up to £80,000 About the Role We are seeking a Data Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to … production-level coding practices, including unit testing and documentation. Communicate complex technical concepts to non-technical stakeholders. What We’re Looking For 3+ years’ experience working with Python for data preparation, aggregation, and transformation. Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets … libraries and ability to apply the latest research into real-world applications. Skilled in explaining technical findings to business audiences in clear, concise English. Degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, or similar); Master’s preferred. Please note, this role cannot offer sponsorship. More ❯

Data Scientist - Brand Uplift/Marketing London – Hybrid Up to £80,000 About the Role We are seeking a Data Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to … production-level coding practices, including unit testing and documentation. Communicate complex technical concepts to non-technical stakeholders. What We’re Looking For 3+ years’ experience working with Python for data preparation, aggregation, and transformation. Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets … libraries and ability to apply the latest research into real-world applications. Skilled in explaining technical findings to business audiences in clear, concise English. Degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, or similar); Master’s preferred. Please note, this role cannot offer sponsorship. More ❯

The Role As an AI Engineer, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by … cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies More ❯

The Role As an AI Engineer, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by … cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies More ❯

The Role As an AI Engineer, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by … cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies More ❯

The Role As an AI Engineer, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by … cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies More ❯

Staff Data Scientist Salary: £100K - £110K Location: London - Hybrid working Data Idols are working with a distributor in the tech industry who are looking for a Staff Data Scientist to join the team. They are a data driven business who are looking for a technical leader. This role will report to the Head of Data Science and support the team of Data Scientists. The Opportunity They are seeking a Staff Data Scientist to join the team to drive data, lead on strategic initiatives and develop cutting edge models. They are looking for this person to provide technical leadership and lead projects end to end. Whilst acting as a mentor this … Python SQL GCP exposure Leading projects end to end If you are looking for a new challenge, then please submit your CV for initial screening and more details. Staff Data Scientist More ❯

About Data at Holland & Barrett At Holland & Barrett (H&B), we want to empower everyone to live healthier, happier lives. With over 150 years of experience, we're the largest health & wellness retailer in Europe and a globally trusted brand. Our ambition is to become the world's most trusted wellness partner, chosen by over 100 million people worldwide. … into five verticals: four embedded analytics areas aligned to key business functions, and a central Business Intelligence team focused on cross-functional reporting and performance enablement. Together with our Data Engineering and Data Science colleagues, we make data a strategic lever to achieve H&B's goals. As a Senior Analyst in the Core Business Analytics … team, you'll support the Property, Format, and Space & Range functions, using data to optimise our store footprint, layout strategy, and space performance. You'll partner closely with stakeholders across Property, Commercial, and Space Planning to support decisions on new store investments, refits, planograms, and in-store execution. The Role What You'll Do Partner with Property, Commercial, and More ❯

Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

Code assistants Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

Data Analyst - Customer Success Team London, hybrid working - Initial 9 month contract - Daily rate inside IR35. Are you a data-driven problem solver ready to make a real impact on customer experience? Our client is looking for a motivated Data Analyst to join a fast-moving Global Customer Success team. You'll help build reliable data foundations, automate dashboards and deliver actionable insights that shape customer journeys, digital experiences and operational performance across international markets. What You'll Do: Build robust data foundations: Improve pipelines, ensure data quality and define consistent metrics across multiple countries. Automate recurring reports to save time and increase accuracy. Create insightful dashboards & reports: Deliver user-friendly dashboards with … key metrics to guide smarter, data-led decisions. Dive deep into analysis: Investigate customer challenges, operational inefficiencies and digital adoption hurdles, translating insights into actionable recommendations. Drive experimentation & improvement: Analyse A/B tests and digital experience trials to identify what works best and scale success. Communicate the story: Present insights clearly to both technical and non-technical stakeholders More ❯

full ownership of Holland & Barrett's in-house personalisation capabilities, driving strategy, roadmap definition, and execution across multiple delivery streams. Working closely with engineering, CRM, marketing, UX research, design, data science and commercial teams, you'll ensure everything we build delivers measurable value across the customer lifecycle. What You'll Be Doing Lead the personalisation squad to define … and deliver a clear product vision, strategy, and roadmap across all customer touchpoints. Deeply understand our customers—their behaviours, needs and motivations—through data and research. Partner with UX researchers to validate ideas, uncover insights, and optimise customer journeys. Collaborate effectively with both technical and non-technical teams to deliver high-quality, customer-first products. Work closely with cross … functional stakeholders (data science, analytics, design, UXR, commercial) to drive insight-led product development. Own delivery across multiple squads, including writing PRDs and managing a prioritised Jira backlog. Continuously optimise through A/B testing, experimentation, and performance analytics. Track and deliver against key success metrics—engagement, conversion, NPS and frequency of shop. The Person 5+ years' experience More ❯

DATA SCIENTIST - E-DV CLEARED NEW CONTRACT OPPORTUNITY FOR A DATA SCIENTIST IN LONDON WITH ENHANCED DV CLEARANCE New contract opportunity with a leading consultancy for a Data Scientist London based, 3-4 days on site Enhanced DV Clearance required to start 12 month rolling contract Daily rate up to £850 To apply, email: About We're … seeking an experienced Data Scientist with enhanced Developed Vetting (DV) clearance to join a leading consultancy supporting mission-critical UK Government projects . This is a hands-on, high-impact role within a secure environment, where your analytical expertise will directly contribute to national operational outcomes. The Role As a Data Scientist, you'll work within a multidisciplinary … team to extract insight from complex, high-volume datasets. You'll design and implement advanced analytical and machine learning models, develop robust data pipelines, and deliver actionable intelligence to inform decision-making at the highest levels. This role offers the opportunity to apply your technical skills to highly operational challenges in a fast-paced, secure setting. You'll work More ❯

the business agenda The job. Proactively identifying risk and opportunities to drive and deliver commercial and customer focused outcomes. Driving the wider information business strategy agenda through leveraging our data to create value for customers, colleagues, the community, and the company. Responsible for influencing and advising on value enhancing initiatives through insight and analysis. Head on the identification of … and develops a robust working relationship with offshore teams. Responsible for heading initiatives to improve the accuracy, availability, granularity, and coverage of data. Your background. Proven experience in analytics, data science, or AI leadership roles. Good strategic thinking and ability to align decision intelligence with business goals. Excellent stakeholder management and influencing skills at senior leadership level. Advanced … knowledge of analytics methodologies and data science techniques. Demonstrated experience translating complex analytical insights into actionable business recommendations. Experience leading and developing high-performing technical teams. Project management experience for complex analytical projects. More ❯

Overview The Practice Lead for Data, Analytics and AI will focus on leading the function within Expleo UK. This role involves managing the function, including its people, delivery, and sales opportunities. This role requires a strategic and hands-on approach to drive data-driven decision-making, deliver actionable insights, and enhance business performance by incorporating Artificial Intelligence and … Machine Learning for Expleo's clients. The successful candidate will lead a team of data scientists, analysts, and AI data engineers, collaborating closely with cross-functional teams to develop innovative data solutions and drive growth opportunities. The role is split between leading a team and delivering value to our customers. Responsibilities Leadership and Strategy: Help the Service … head to define the data and analytics vision, strategy, and roadmap aligned with the firm's goals. Align the data and analytics strategy with the firm's overall goals and objectives. Provide leadership and guidance to the team, fostering a culture of innovation, collaboration, and continuous improvement. Identify emerging trends and technologies in data, analytics, and AI More ❯

week on-site 6 Months + UMBRELLA only- Inside IR35 Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Airflow for orchestration and scheduling. Build and manage data transformation workflows in DBT running on Databricks . Optimize data models in Delta Lake for performance, scalability, and cost efficiency. Collaborate with analytics, BI, and data science teams to deliver clean, reliable datasets. Implement data quality checks (dbt tests, monitoring) and ensure governance standards. Manage and monitor Databricks clusters & SQL Warehouses to support workloads. Contribute to CI/CD practices for data pipelines (version control, testing, deployments). Troubleshoot pipeline failures, performance bottlenecks, and scaling challenges. Document workflows, transformations, and data models for … knowledge sharing. Required Skills & Qualifications 3-6 years of experience as a Data Engineer (or similar). Hands-on expertise with: DBT (dbt-core, dbt-databricks adapter, testing & documentation). Apache Airflow (DAG design, operators, scheduling, dependencies). Databricks (Spark, SQL, Delta Lake, job clusters, SQL Warehouses). Strong SQL skills and understanding of data modeling (Kimball, Data More ❯

helping students and early-career professionals build experience in the tech industry. This internship is ideal for recent graduates, career changers, or early-career professionals looking to strengthen their data skills, gain real-world project experience, and receive mentorship from industry experts. What our client offers: Perform data cleaning, processing, and analysis tasks Create dashboards and data visualisations Extract insights from data to support internal reporting Learn and apply industry tools such as Excel, SQL, or Python (depending on your background) Receive mentorship from experienced professionals in data analytics Who You Are: A recent graduate, career switcher, or early-career professional Studying or have completed a degree in data science, statistics, computer … science, or a related field Comfortable with data tools such as Excel, SQL, or Python (beginner level welcome) Eager to learn, grow, and gain practical experience in a real-world environment What You’ll Gain: Personalised mentorship from industry professionals Valuable networking opportunities within the tech space Hands-on project experience to add to your portfolio A structured More ❯

Transaction Monitoring Data Analyst 4 Month Contract London Hybrid Working The Adecco group is part of Adecco Workforce Solutions (AWS). We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities and more. We do this by … an inclusive environment that helps them thrive. We are happy to be recruiting for one of our high-profile banking clients. They are currently looking for a Transaction Monitoring Data Analyst to join them for an initial 4 month contract, however there may be scope for extension. Role Purpose: Working within the Change Management Team on behalf of all … EMEA offices, the data analyst will support Fraud Transaction Monitoring projects by providing insights and enhanced governance over the rule sets employed within the screening and monitoring systems, suggesting data driven changes to these, including system tuning, to increase both the efficiency and effectiveness of these systems. To support the 1st line subject matter expert on fraud and More ❯