551 to 575 of 1,293 Data Science Jobs in London

Your new company This cutting-edge data science firm is driving transformation in life sciences through methodological excellence and innovation. Its research division is a hub for scientific exploration, where novel statistical techniques are developed to tackle some of the most pressing challenges in genomics and drug discovery. The organisation values intellectual curiosity, cross-disciplinary collaboration, and the … pursuit of rigorous, reproducible science.They are looking for a Lead Data Scientist with a strong statistical methodology background to join their expanding team. Your new role As Lead Data Scientist, you will be a driving force behind the creation of new statistical methodologies. You will: Lead the development of original statistical models tailored to complex genomic data … a permanent role that can be fully home based from anywhere in the UK. What you'll need to succeed A PhD (or equivalent experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus A track record of developing statistical models for genomic/biological research, preferably within a More ❯

Your new company This cutting-edge data science firm is driving transformation in life sciences through methodological excellence and innovation. Its research division is a hub for scientific exploration, where novel statistical techniques are developed to tackle some of the most pressing challenges in genomics and drug discovery. The organisation values intellectual curiosity, cross-disciplinary collaboration, and the … pursuit of rigorous, reproducible science.They are looking for a Lead Data Scientist with a strong statistical methodology background to join their expanding team. Your new role As Lead Data Scientist, you will be a driving force behind the creation of new statistical methodologies. You will: Lead the development of original statistical models tailored to complex genomic data … a permanent role that can be fully home based from anywhere in the UK. What you'll need to succeed A PhD (or equivalent experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus A track record of developing statistical models for genomic/biological research, preferably within a More ❯

ourselves on delivering exceptional and engaging digital experiences. JOB PURPOSE We are looking for an AI Consultant who not only knows exactly how to create impact with algorithms, big data, machine learning, and generative AI, but can also translate our tech offerings to our current and future clients as well as our wider digital marketing teams internally. As an … market. Define AI maturity, roadmaps, and use cases for our clients. Guide on prioritisation based on business impact and technical effort. Design (together with technical experts) and advise on data science and generative AI solutions for various business problems. Bring innovative ideas and emerging technologies to the table, fueling innovation within our teams. Communicate solutions and strategies effectively … to clients and team members. WHAT WE ARE LOOKING FOR Relevant, hands-on working experience in a data science role, preferably related to digital platform and marketing data and/or working at a digital agency. Client facing or consultative experience, ideally with UK&I businesses. Someone who is comfortable with presenting and working with a variety More ❯

company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on … and the US. About the role We are seeking a highly motivated and experienced Product Owner to join our dynamic team building the user interface for our cutting-edge Data Science and AI platform. This platform empowers data scientists and AI engineers to build, train, and deploy sophisticated models. As the Product Owner, you will be the … and business objectives Sprint Planning & Execution: Actively participate in sprint planning, daily stand-ups, sprint reviews, and retrospectives, ensuring smooth sprint execution Stakeholder Management: Effectively communicate with stakeholders, including data scientists, AI engineers, product managers, and business leaders, to gather feedback and ensure alignment User Research & Analysis: Conduct user research, analyze user feedback, and use data to inform More ❯

Our Experian Software Solution's Analytics Services Team supports analytic and generative AI products for decisioning, analytics, and fraud and identity globally. As a Lead Data Scientist, you will use your coding expertise (Python, SAS), model risk management and Gen AI knowledge and experience, and analytic consulting skills to lead client and internal engagements for Experian's new global … product launch and early client success efforts. Responsibilities: Collaborate with Engineering and Data Science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications in a cloud-native big data platform. Partner with Leaders, Analytic Consultants, Engineers, Account Executives, Product Managers, and external partners to bring new innovative solutions to market … regulatory requirements. Stay informed about regulatory changes, technological advancements, and model risk management processes and controls to ensure the technology stack meets all compliance requirements. Research and integrate new data assets from different sources into Experian's ML and AI platform. Develop and assess analytic tools developed internally and externally. Gather feedback from internal and external clients to guide More ❯

The financial services industry is being reshaped by the transformative power of AI. Deloitte's AI & Data Financial Services team is at the forefront of this change, partnering with leading financial institutions to develop and implement cutting-edge AI solutions that address their most critical business challenges. As a Lead AI Architect within our team, you'll play a … collaborate with diverse teams of specialists, working across disciplines to ensure seamless integration and optimal performance. You'll also contribute significantly to the growth and development of our AI & Data practice, sharing your knowledge and insights to drive continuous improvement. You will be instrumental in driving the adoption of advanced AI/ML services, helping organisations achieve their innovation … impact how and where it mattersmost . Connect to your opportunity Key Responsibilities: Solution Architecture: Define and design end-to-end AI/ML/LLM solution architectures, encompassing data ingestion, processing, model training, deployment, and monitoring. Technical Leadership: Provide technical guidance and mentorship to AI project teams, ensuring the adoption of best practices and the delivery of high More ❯

at the forefront of the travel industry. In this role, you will; Define and drive the product roadmap, balancing short and long term goals Collaborate with engineering, design, and data science teams to build and launch impactful travel solutions Integrate AI/ML models into product functionality with a solid understanding of model development processes Conduct and apply … market and competitive analysis to guide product strategy Identify customer pain points and design solutions that enhance user experience Lead the development of product experiments and interpret data to make informed decisions Define key product metrics and build dashboards to track performance and inform ongoing improvements Communicate product vision effectively across stakeholders and executive leadership Partner with finance to … product management experience, or Master's with 3+ years of experience (or equivalent industry background) Proven experience working in Agile environments Strong knowledge of AI/ML integration and data science principles Ability to interpret complex data and translate insights into actionable strategies Skilled in stakeholder communication, influence, and storytelling Experience driving product innovation in a tech More ❯

at the forefront of the travel industry. In this role, you will; Define and drive the product roadmap, balancing short- and long-term goals Collaborate with engineering, design, and data science teams to build and launch impactful travel solutions Integrate Gen AI and AI/ML models into product functionality with a solid understanding of model development processes … and apply market and competitive analysis to guide product strategy Identify customer pain points and design solutions that enhance user experience Lead the development of product experiments and interpret data to make informed decisions Define key product metrics and build dashboards to track performance and inform ongoing improvements Communicate product vision effectively across stakeholders and executive leadership Partner with … or Master's with 3+ years of experience (or equivalent industry background) Proven experience working in Agile environments Strong knowledge of Gen AI and AI/ML integration and data science principles Ability to interpret complex data and translate insights into actionable strategies Skilled in stakeholder communication, influence, and storytelling Experience driving product innovation in a tech More ❯

Customer Experience (CX) Data Analyst (36370) 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 … 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 Customer Experience (CX) Analyst in the Customer … Retail Operations to deliver high-quality dashboards and insights that improve the post-purchase journey. You'll act as a trusted partner to stakeholders, translating their needs into actionable data solutions that drive meaningful improvements to the customer experience. This role requires strong analytical skills, excellent communication, and a desire to grow technically within a supportive team. The Role More ❯

in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role We're looking for an experienced, strategic, and data-driven Product Manager (PM … done, and iterate quickly based on feedback Possess high attention to detail and a "sweat the small things" approach to delivering a high quality product to our customers Are data-driven : you are comfortable challenging assumptions or being challenged to ensure good decisions are supported by data. What you'll be working on Own and drive the strategy, execution … our expanding cards business. Managing the delivery of our credit card proposition; define product roadmaps, break down complex problems into actionable steps, and prioritise ruthlessly based on impact. Champion data-driven decision-making , measuring outcomes, and iterating quickly based on learnings. Working alongside other Product Managers and an Engineering Team to define the product roadmap Testing and measuring the More ❯

Lead for Perrigo, you will play a vital role in transforming the company's supply chain decision-making processes. You'll manage a team of analysts tasked with transforming data and developing analytics reports and dashboards. You'll be responsible for ensuring the project management and execution of analytics projects follows the Operating Model for delivery and assist the … the team with understanding and incorporating business knowledge into the analytics output. With strong analytical expertise and an eye for CSCI-specific trends, you'll help the organization make data-driven decisions that optimize efficiency and deliver sustainable outcomes. Location: Ireland or Belgium Reports To: Director of Supply Chain Digitalization & Analytics Scope of the Role As the Supply Chain … responsible for driving the digital transformation of Perrigo's Supply Chain & Operations analytics. This role requires a strategic leader with deep technical expertise and a passion for innovation in data and analytics. Key Responsibilities: Lead and mentor a high-performing analytics team, fostering a culture of innovation, continuous learning, and excellence in data-driven decision-making. Technical Expertise More ❯

company. We are seeking a Senior Product Manager, with a proven track record in NLP, to join our Platform Product Management team, and lead on the NLP and Unstructured data capabilities of our Decision Intelligence Platform, reporting directly to the Head of Product for the Platform. Unsurprisingly, we're seeing huge focus on this space from board level, our … our company, right at the centre of our high-growth unicorn business About Your Role What will I be doing? End-to-end ownership of the NLP and Unstructured data capability across our platform. We believe in 'full stack product management'. The code is not the product, it's just part of it. You will align the company … behind your vision for our Unstructured data capabilities: doing whatever it takes to drive-out uncertainty and get people onboard. You will work with other members of Product and the subject matter experts (including NLP scientists and Industry and Solution experts) in the rest of the company to deeply understand our problem space. You're in charge of setting More ❯

About the role: We're looking for a Senior Data Engineer to join the Data & Analytics team at Holland & Barrett. This is a high-impact, mid-seniority role within our growing data function, where you'll design, build, and scale modern data solutions on AWS. You'll work closely with cross-functional teams including Data Science, BI, and Product Analytics to develop cloud-native, scalable data infrastructure powering advanced analytics and machine learning. As a Senior Engineer, you'll not only deliver code — you'll take ownership, lead small teams, mentor others, and contribute to shaping our engineering culture and best practices. You'll join a team of Data Engineers, reporting … to the Senior Data Engineering Manager. You'll work alongside Associates, Mid-level Engineers, and Senior/Principal engineers. What You'll Do: Design, build, and scale data pipelines and services using AWS Glue, Lambda, Step Functions, S3, EMR, Athena, and more. Lead projects involving serverless, event-driven architectures and CI/CD workflows (GitLab CI). Write More ❯

a Senior Front-End Engineer with experience in React, someone who is curious, proactive, and passionate about building high-quality digital solutions. Signal's Software Engineers work closely with data science, design, product, and business analysis professionals to develop robust solutions for the highly entrepreneurial domain of shipping. Technology Stack We build cloud solutions using C#, .NET Core … our teams and would love to onboard people who can contribute across product discovery, delivery, optimization, QA, DevOps, and Continuous Integration. Master's or Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 5+ years of front-end development experience building real-world web applications of medium-to-large scale and complexity. Demonstrable React … Patterns and SOLID architecture principles. Familiarity with cloud computing, experience with tuning and configuration. Strong attention to interaction design and detail; passion for building intuitive web interfaces that present data in compelling ways. Ability to understand business needs quickly and create relevant UI prototypes and proofs-of-concept Experience with Agile/SCRUM. Experience building and consuming RESTful APIs More ❯

growth of the portfolio (e.g. R&D teams, Legal, Operations, Risk Management); Technical & Business Leadership : help both the underwriting strategy and the review of the work conducted by Underwriting Data Scientists, providing guidance on technical modeling matters & business requirements. ABOUT YOU EXPERIENCE & QUALIFICATIONS Graduated from a leading academic institution with a degree in mathematics, statistics, data science, physics or related; 4 years of significant experience minimum (post graduation) in data science or related; As a plus: track record of experience in leading a (small) team and managing business projects; As a plus: prior experience in structuring, pricing & underwriting parametric insurance covers for climate risks. SKILLS Proficiency in Python (e.g. pandas, scikit-learn); Strong background More ❯

Big Data Scientist ?" Docklands London Our Client an international organisation is looking to recruit a Big Data Expert with 2 to 5 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team … within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize data and generate … other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. More ❯

knowledge base accessibility, improve contact deflection, and optimize workflows. Collaborate with others to ensure seamless integration of AI tools and features into existing platforms. Assist in collecting and preparing data needed to train, fine-tune, and evaluate AI models to ensure optimal performance and accuracy. Evaluate model performance, fine-tuning models for optimal results, and deploy AI models into … AI to further enhance organizational capabilities. Contribute to other assigned tasks, projects, and initiatives as needed to support team and organizational goals. You Have Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related technical field. 1 - 2 years of experience working with AI/ML concepts and technologies (e.g., natural language processing More ❯

VP AWS Data Engineer - Strategic Data Leadership - London - Hybrid Are you a visionary data engineering leader ready to architect the future of market data infrastructure? A global financial institution is seeking a Vice President - AWS Data Engineering to spearhead the development of a next-generation Market Data Store (MDS). This greenfield initiative offers … a rare opportunity to shape the platform from the ground up, leveraging technologies like Databricks, Snowflake, and AWS Glue to solve one of the most complex data challenges in banking. What makes this role stand out? Strategic ownership of a high-impact data platform initiative. Influence cross-functional teams and senior stakeholders. Drive innovation in data architecture … governance, and analytics. Collaborate with data scientists to deploy machine learning models. Gain visibility across multiple business units and sectors. Key responsibilities: Lead the design and implementation of scalable, secure data pipelines and architectures. Define and enforce best practices in data governance, quality, and security. Guide the development of advanced data processing and analysis algorithms. Advise More ❯

VP AWS Data Engineer - Strategic Data Leadership - London - Hybrid Are you a visionary data engineering leader ready to architect the future of market data infrastructure? A global financial institution is seeking a Vice President - AWS Data Engineering to spearhead the development of a next-generation Market Data Store (MDS). This greenfield initiative offers … a rare opportunity to shape the platform from the ground up, leveraging technologies like Databricks, Snowflake, and AWS Glue to solve one of the most complex data challenges in banking. What makes this role stand out? Strategic ownership of a high-impact data platform initiative. Influence cross-functional teams and senior stakeholders. Drive innovation in data architecture … governance, and analytics. Collaborate with data scientists to deploy machine learning models. Gain visibility across multiple business units and sectors. Key responsibilities: Lead the design and implementation of scalable, secure data pipelines and architectures. Define and enforce best practices in data governance, quality, and security. Guide the development of advanced data processing and analysis algorithms. Advise More ❯

Backend Typescript Software Engineer ideally with a strong Computer Science academic background required to join a cloud services development team working on an industrial workflow and process management system that enables clients to monitor and proactively manage business process’. You will join an existing application development team in a very much hands on role, the ideal candidate will … have a logical thought process enabling you to grasp the complex logic of clients workflow which leverages Data Science, Machine Learning and AI. Skills Typescript expert with AWS NodeJS Computer Science Role You join an existing software team reporting to the Chief Technology Officer. Working on a world class AWS event driven design that delivers high performing … a challenging and varied position developing new features and APIs, performance optimisation, CICD and test suite improvement, updating core software and infrastructure libraries used across many client services, supporting Data Science and deploying ML systems. More ❯

plan of an additional 5% of your base salary paid by us monthly to save for your future. Your role and responsibilities Unleash your leadership potential as a Managing Data Engineer with Advanced Analytics expertise and drive the development of innovative advanced analytics solutions. In this role, you'll be responsible for leading the way in driving innovation, fostering … a culture of continuous improvement, and nurturing the growth of junior engineers. Join our Data Engineering team and make a significant impact on our clients' advanced analytics initiatives. Apply today and embark on an exciting journey in Data Engineering! Responsibilities: Develop and lead cutting-edge advanced analytics solutions for complex business problems. Mentor junior data engineers, providing … guidance and support in their professional development. Perform statistical analysis, data collection, data mining, and text mining. Design, build, and manage solutions for advanced analytics projects. Utilize predictive analytics tools (SPSS) to draw conclusions and present findings. Stay abreast of emerging advanced analytics trends and technologies, driving innovation within the organization Required technical and professional expertise Extensive experience More ❯

projects in less time than you thought possible. - Get hands-on with a range of technologies and practice a range of disciplines: back-end, front-end, DevOps, machine learning, data science, data architecture. We are curious generalists who don't pigeon-hole ourselves as particular "flavours" of engineer and never say "that's not my job". … oriented design PREFERRED QUALIFICATIONS - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Bachelor's degree in computer science or equivalent and/or relevant professional or military experience Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. … We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon More ❯

Sales and Client Service Ref # Description & Requirements Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain … investment strategies and research on our new Python based quant platform. With access to the world's most comprehensive financial database, you will have the opportunity to apply advanced data science technologies to generate real world investment models. Your role will involve full life-cycle development, from initial pitches to prospective clients, requirement gathering, prototyping, implementation, deployment and … Commodities - In depth knowledge of the Bloomberg Terminal, the world's leading financial analytics platform for investment professionals - You will be supported with training to improve your expertise in data science, quantitative investment strategies and capital markets - A deep understanding of quantitative strategies and investment knowledge across Equities, Fixed Income, FX and Commodities - Open Source Python technologies for More ❯

Sales and Client Service Ref # Description & Requirements Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain … investment strategies and research on our new Python based quant platform. With access to the world's most comprehensive financial database, you will have the opportunity to apply advanced data science technologies to generate real world investment models. Your role will involve full life-cycle development, from initial pitches to prospective clients, requirement gathering, prototyping, implementation, deployment and … Commodities - In depth knowledge of the Bloomberg Terminal, the world's leading financial analytics platform for investment professionals - You will be supported with training to improve your expertise in data science, quantitative investment strategies and capital markets - A deep understanding of quantitative strategies and investment knowledge across Equities, Fixed Income, FX and Commodities - Open Source Python technologies for More ❯

the state-of-the-art.We are a venture backed company founded by professionals with experience spanning machine learning, trading, and quantitative research. As an experienced ML expert in the Data Science team, you will part of an innovative team of machine learning researchers, engineers, and domain experts. Here you will have the opportunity to prototype novel methods to … in the financial domain. You will gain experience of company and culture creation in still early stage of our start-up journey. The Role: Provide scientific depth in a data science team including ML and NLP scientists and linguists. Design new ML tasks from raw data through new ML methods to finalised products that will be used … and innovatively to produce effective models and complete ML pipelines. Some problems you might work on: Automated flagging of cases where model predictions might be incorrect. Building more efficient data annotation strategies to fine-tune an LLM. Requirements: MSc with enough research experience (industry or academia) or PhD in a relevant subject. Extensive background in using and developing deep More ❯