476 to 500 of 1,158 Data Science Jobs in London

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 ...

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 … experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred [Preferred ...

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 ...

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 ...

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 ...

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 ...

standards, reference architectures, and platform components. To be successful in this role, we're seeking the following: Bachelor's or Master's in Computer Science, AI, Data Science, Engineering/Management (advanced degree preferred). Significant experience delivering AI/ML in enterprise environments with proven ownership ...

standards, reference architectures, and platform components. To be successful in this role, we're seeking the following: Bachelor's or Master's in Computer Science, AI, Data Science, Engineering/Management (advanced degree preferred). Significant experience delivering AI/ML in enterprise environments with proven ownership ...

building something, rather than maintaining it, this is an unusually good time to join.**Your Team**You’ll be joining a small, close-knit Data platform engineering team of three to five engineers. We’re a team that takes quality seriously, looks out for each other, and gets things … done without a lot of ceremony. Everyone brings something different across cloud infrastructure, data platform, and developer tooling and we rely on that range to solve problems well.We work across time zones with colleagues in Bengaluru and Kraków, so clear communication and good async habits matter. ...

Firm’s innovation initiatives, supporting our lawyers in client delivery excellence. The team has deep expertise in working with established and emerging technologies, data analytics and data science, knowledge solutions and process re-engineering. The Practice Solutions team works with our lawyers to identify innovative solutions … environment, and who can design and run robust programme structures with clearly defined tasks, activities, milestones and success metrics. Our approach is informed by data and insight, and we expect our programme leaders to be comfortable reading and interpreting data presented in spreadsheets and dashboards ...

Firm’s innovation initiatives, supporting our lawyers in client delivery excellence. The team has deep expertise in working with established and emerging technologies, data analytics and data science, knowledge solutions and process re-engineering. The Practice Solutions team works with our lawyers to identify innovative solutions … environment, and who can design and run robust programme structures with clearly defined tasks, activities, milestones and success metrics. Our approach is informed by data and insight, and we expect our programme leaders to be comfortable reading and interpreting data presented in spreadsheets and dashboards ...