701 to 725 of 1,759 Data Science Jobs in England

way. Capture learnings from deployments and feed them back into reusable patterns, improvements and scalable approaches across the organisation. Your Profile Degree in computer science, engineering, data science, business informatics, innovation management, finance, economics or a related field; equivalent practical experience is also welcome. Experience working effectively … areas such as client advisory, onboarding, KYC, investment processes, operations, risk or compliance. Familiarity with enterprise requirements related to security, governance, risk management, data privacy and regulatory expectations. Experience with modern software development, data management, system integration, cloud technologies, and relevant AI or automation tools. Experience supporting adoption ...

assisted development tools such as Claude Code or GitHub Copilot Strong analytical mindset with the ability to define evaluation frameworks, interpret metrics, and make data-driven product decisions Ability to translate technical concepts into clear, value-based messaging for non-technical and senior audiences Deep expertise in artificial intelligence … ethical governance, and fostering a culture of responsible AI adoption across the organization. Education Bachelor's/Master's/PhD degree in Computer Science, Engineering, Data Science, Business, or a related field Responsibilities Own the product lifecycle for increasing AI integration across Moody's business services ...

assisted development tools such as Claude Code or GitHub Copilot Strong analytical mindset with the ability to define evaluation frameworks, interpret metrics, and make data-driven product decisions Ability to translate technical concepts into clear, value-based messaging for non-technical and senior audiences Deep expertise in artificial intelligence … ethical governance, and fostering a culture of responsible AI adoption across the organization. Education Bachelor's/Master's/PhD degree in Computer Science, Engineering, Data Science, Business, or a related field Responsibilities Own the product lifecycle for increasing AI integration across Moody's business services ...

analysis. 3 years of experience in people management, in leading, mentoring, and developing technical and analytical teams. Experience writing, reviewing, and maintaining code for data manipulation and analysis using programming languages (such as Python, R, SQL). Experience presenting to non-technical audiences. Preferred qualifications: PhD in a quantitative … fields such as Statistics, Mathematics, Economics, Operations Research, Data Science. Experience in advanced marketing measurement methodologies (e.g., conversion lift, geo-experiments, Media Mix Modeling, brand lift studies) for a major regional or global brand. Experience collaborating cross-team to define data requirements, analyze product metrics, resolve data ...

diverse portfolio of vacancies spanning Design (e.g., Product, Interaction, Service Design), Delivery (e.g., Agile Delivery, Product Management), Technology (e.g., Engineering, Architecture, Testing), and Data (e.g., Analytics, Data Science). Assessment: Screen, interview, and assess candidates effectively against predefined business, technical, and practice-specific requirements. Data Integrity … Maintain accurate, GDPR-compliant recruitment data, applicant tracking pipelines, and analytics within the ATS (ePloy) and HR systems. Sourcing: Execute proactive sourcing strategies, including Boolean searches, LinkedIn Recruiter outreach, and passive candidate engagement across different disciplines to effectively pitch the benefits of TPXimpact. Talent Pipelining: Support the maintenance ...

hold up : Own the methodology behind our HEART Analytics, deciding what each score measures, how it's calculated, and how it stays credible when data is incomplete. Delivering outcome-linked metrics : Connect usage data to business outcomes like cost savings, efficiency and compliance risk that enterprise executives … Building for time-poor executives : Design analytics that bring insights to leaders and answers "what should I do?" not just "what happened?" Connecting fragmented data sources : Define the integration strategy to combine Userlane behavioural data with cost data from SAM tools, license data from IT asset ...

Lead Data Engineer (Databricks) - London (Hybrid) - Up to £110,000 Databricks - Apache Spark - Delta Lake - Python - SQL - Azure We're partnering with a growing technology business investing heavily in its cloud data platform and AI capabilities. This is a senior, hands-on leadership role where … architecture and development of a modern Databricks environment, drive engineering best practice, and mentor a team of Data Engineers while shaping the future of the organisation's data strategy. The Role As Lead Data Engineer, you'll be responsible for: Leading the design, development and optimisation ...

team technical initiatives; drive design forums, establish engineering guardrails, and ensure high‐quality delivery via code reviews and automation. Partner closely with Product, Design, Data Science, and Platform teams to define project scope, sequence milestones, and proactively de‐risk execution for iterative releases. Own design of APIs … hardening on‐call procedures and runbooks, and leading incident response and post‐mortems. Solve complex distributed system challenges (such as throughput, latency, consistency, and data modeling) with pragmatic decision‐making and balanced tradeoffs. Document architectural decisions, service ownership, and operational runbooks to share knowledge and maintain long‐term scalability. ...

organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production‐grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues … Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine‐tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands ...

scientific and technical advances are integrated safely and efficiently into production. This is a key operational, technical and leadership role at the intersection of science, software engineering, high-performance computing, machine learning and 24/7 operational delivery. You will provide technical and people leadership for the team responsible … reliably in operational production. The team plays an important role as operational forecasting moves towards a more diverse mix of physics‐based and data‐driven systems, new computing environments and more complex data flows. These developments require disciplined workflow design, reliable orchestration, clear release processes and close coordination ...

looking for a Data Scientist to join the Business Analytics team within Spotify’s Business Strategy and Insights organization. You will work with the Audiobooks Analytics Lead to help shape our global audiobooks strategy and improve the experience for listeners, creators, publishers, and authors. In this role, you will … data analysis, experimentation, and statistical modeling to evaluate some of the most important opportunities facing our audiobooks business. Your work will span content and catalog strategy, discovery and recommendations, subscriber growth, and new product and commercial initiatives. You will turn complex questions into clear recommendations and help senior leaders ...

shaping the future of fintech – and we’re just getting started. About the Role Checkout.com is looking for an experienced Senior Data Scientist to lead advanced optimisation projects and champion the development of robust, sustainable ML architectures. You will be responsible for the enhancing payment flow through data and ML services, advancing the complex problem of multi-objective optimisation. You will work closely with other Senior and Staff Data Scientists to shape the architecture of our decisioning systems. Key Responsibilities Lead projects and architecture design for multi-objective optimisation and scalable models. Create custom loss functions ...

Senior Product Data Scientist/Product Data Analyst London | Outside IR35 Day Rate: £500 This is an opportunity to take ownership of a growing product analytics function within a highly digital consumer business. You'll play a key role in shaping how product decisions are made, building analytical … from day one. The Company They are a fast-paced, digital-first organisation with a large online customer base and a strong focus on data-driven decision making. As their analytics capability continues to evolve, they are investing in product analytics to better understand customer behaviour and unlock ...

Full-Stack Engineer (Senior Specialist) to join our Finance Hub team. This role is located in Manchester. Role Overview: The role focuses on strong data analysis skills, logical thinking, problem solving, and system design to develop scalable solutions/AI-enabled capabilities across data platforms and applications. … gathering requirements, design , build & implement. In this role, you'll make an impact in the following ways: Define source-to-target mapping, lineage, and data quality rules Oversee ETL design in Oracle; ensure control points (reconciliations, validations) Partner with Axiom team for model point alignment and submission readiness Drive ...

Group is seeking a Principal Data Engineer to own the technical architecture of its GCP data platform, including BigQuery and Kafka-based ingestion, across London. You will lead delivery of complex, high-risk work in the GCP consolidation programme and define platform contracts and self-service patterns … empower divisions with trusted Core Lake data. You will mentor engineers, raise data quality standards, and collaborate with Compliance, Finance, and Data Science to deliver scalable, #J-18808-Ljbffr ...

targets in our cell lines and to optimise media formulations. We’re looking for a skilled individual to apply the latest bioinformatics and biological data science methods, partnering with our Cell Sciences Team and the wider organisation to develop the next generation of stable cell lines with real … world impact. About the Role As a specialist in bioinformatics and computational biology, you'll bring deep expertise in large-scale omics data and modelling methods and take a leading role in building the tools we use to make sense of high-throughput biological data. As an integral member ...

Description The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision … products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language ...

Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision‐making. … products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language ...

organization’s technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Vice President Expectations To contribute … operating manual for how we behave. Role Overview Join Barclays as a Python Platform Engineer and create an interactive analytics environment that enables quants, data scientists, and engineers to create, share, and run code at scale. Our multidisciplinary team are delivering notebook experiences with Jupyter & VSCode, distributed compute with ...

their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values. The Role: We are looking for an experienced Data Analyst to join our team here at Solirius. You will be working as part of a team, developing and delivering exciting projects with … experts. You will be a fundamental part of the team and will be an expert in your field/specialism. Requirements Key Responsibilities: Develop data solutions for our clients/projects Diagnostics and Analysis for complex technical projects Working collaboratively with the client and understanding their requirements Working with ...

large datasets for analysis, preprocessing, and model training Assisting with the deployment and monitoring of AI applications Collaborating with software engineers, product teams, and data specialists Contributing to backend development and API integrations Researching and testing new AI frameworks and technologies Ensuring AI systems are developed responsibly, ethically … with a strong focus on transparency and fairness Writing clean, maintainable, and scalable code Requirements Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field Strong understanding of machine learning concepts and AI fundamentals Understanding of software engineering best practices Strong understanding ...

models to tackle real‐world problems, particularly in automating complex, manual processes in a range of real‐world verticals. Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across … with high‐quality engineering practices. You Might Thrive In This Role If You: Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field. Have experience building GenAI‐focused applications with the latest technologies, including but not limited ...

between the office and home over a 4-week period.Hybrid working arrangements can evolve subject to business requirements. Overview of project/role The Data Scientist will collaborate closely with the Lead Data Scientist and Principal Data Scientist and cross-functional teams to design, deliver and continually … enhance advanced data-driven solutions and analytical insights for TfL. You'll prepare, structure and analyse diverse datasets (structured and unstructured) to ensure they're robust, reliable and fit for analytical purposes, including suitability for leveraging AI and Generative AI techniques. Your role requires you to apply statistical, mathematical ...

research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience … with business goals Hands on experience building and deploying agentic AI/multi‐agent systems within regulated or compliance‐driven environments Experience with big data and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Scientific thinking with the ability ...

Senior Data Scientist (Contract) 3 Months Initial (possibility to extend) Hybrid, London £500 - £600 Per Day Immediate Start The Company They are an early-stage AI organisation focused on developing advanced data products for a complex global industry. Their work combines machine learning, data modelling, and modern … rich, real-world datasets. With a strong technical culture and deep domain expertise, they are looking for an experienced contractor to help deliver critical data science capabilities at an important stage of growth. The Role and Deliverables Profile, analyse, and explore complex industrial datasets to identify modelling opportunities ...