1 to 25 of 126 Remote/Hybrid Analytics Jobs in the City of London

optimise performance ✅ Translate complex findings into simple, actionable insights What We’re Looking For 🚀 Graduates up to 3 years’ experience in data science or analytics 🐍 Strong Python skills (pandas, numpy, scikit-learn) 🗄️ Solid SQL for data extraction and manipulation 📊 Experience with Tableau or Power BI is a bonus 🧠 Strong problem ...

have an exciting opportunity for an experienced data & analytics professional to join the Performance team in London. Are you ready to make a different in a values-driven organisation? Can you transform varied data into meaningful insights & communicate effectively with diverse audiences to enhance organisational performance? Do you excel ...

Title Senior Data Analyst (Service Delivery & AI Analytics) Department Service Delivery Location Remote or Hybrid (split between site-based and home-working) Country Flexible (UK/EU/US/Hong Kong) Level Individual Contributor Reports to Global Head of Service Delivery, IT & Repairs Contract Type Permanent/Full-time … forecasting and pattern-detection models to support operational planning and continuous improvement. In addition, this role will contribute to the evolution of AI-enabled analytics, using Python and modern AI tools (e.g. Copilot and ChatGPT-style agents) to enhance insight generation, automate analysis, and enable self-service reporting capabilities across ...

Senior Analytics Consultant HYBRID - LONDON - 2 days a week in office SALARY - UP TO £60,000 The Company They are a digital solutions agency that partners with major B2B and B2C brands across multiple industries, delivering data‐driven solutions that enhance marketing effectiveness and digital experience. The Role You will … join the Consulting Analytics team, reporting into an experienced and supportive senior leader and working alongside a Senior Consultant and a junior Analyst. You will work across varied analytics projects with an initial focus on the Adobe ecosystem and Azure cloud environment. Responsibilities include: • Delivering analytics solutions across marketing, digital ...

Analytics Engineer Location: London - Hybrid (minimum 2 days per week in the office) Contract Duration: 6 months Day Rate: Market rate (Inside IR35) Overview We are seeking an experienced Analytics Engineer to join a high-performing data function in London. This role sits at the intersection of data engineering, data … architecture and analytics, bridging technical delivery with business insight. You will design scalable data models, build robust transformation workflows and deliver high-quality data products in collaboration with Data Architects, Data Scientists, Product Managers and Data Engineers. The focus is on enabling business teams to use internal data assets ...

Senior Business Analyst – AI Location: London (Hybrid 3 days onsite) Reporting to: Head of Data, Analytics & Business Analysis Salary Range : £120,000 We’re working with a leading UK investment banking organisation looking to hire a Senior Business Analyst to support critical initiatives across equities trading, investment banking and data ...

hardware migrations Manage containerized applications and microservices using Kubernetes, ensuring high availability, performance, and scalability Deliver end-to-end monitoring, logging, and data analytics solutions Write and maintain robust Python code for test automation (Robot Framework) and scripting Work closely with developers, testers, and other engineers to troubleshoot and resolve ...

Monitoring and Screening applications, thus ensuring that the processes are both effective and efficient in detection. This role is part of a Fraud analytics capability within this 1LoD working to ensure that our Fraud Screening system is working at peak effectiveness and efficiency. Whilst based within 1LoD, liasing with colleagues ...

days a week. Technical Requirements Proven experience leading data teams in a SaaS, fintech, or regulated technology environment. Strong background in data engineering and analytics – no need to code. Experience scaling data platforms in a cloud-native environment (AWS, GCP, or Azure). Deep understanding of modern data stacks (e.g. ...

initially, potential to be extended IR35 Determination: Inside We are recruiting for our valued client. A well-established organisation operating in the data and analytics sector, supporting major brands with insights that inform strategic business and marketing decisions. They are currently seeking an experienced ERP Project Manager with strong Microsoft ...

skills to solve complex data challenges Knowledge of relational, dimensional, and enterprise modelling concepts, including cloud and big data environments Experience with SQL, data analytics platforms, APIs, and database technologies Familiarity with Software Delivery Lifecycle (Agile and Waterfall) and software engineering principles Excellent communication skills, able to engage technical ...

structured, accessible and engineered for performance. Working across technical and business teams, youll translate complex requirements into scalable, resilient data solutions that support analytics, reporting and operational insight. Your remit will include: Architecting and optimising Snowflake data platforms Leading data ingestion, transformation and consumption strategies Delivering complex data migrations into ...

Applied Senior Data Scientist (Forecasting and Opportunity Analytics) London (Hybrid), 4 days a week (Flexible) Foresight Factory helps the world’s most ambitious organisations see further ahead. Powered by our proprietary intelligence platform, Collision, we transform fragmented data into foresight that drives decisive action. Our work sits at the intersection ...

LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection ...

LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection ...

LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection ...

LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection ...

LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection ...

Senior Analytics Engineer Location: London based | Hybrid 2 days per week in the office Type: Permanent, full time The Opportunity A leading international media and audio business is hiring a Senior Analytics Engineer to join a central Data & Decision Sciences function operating across multiple European markets. This team sits … decision making across audience, commercial, and operational domains. Data is treated as a strategic asset, not a support function. The Role As a Senior Analytics Engineer, you will be responsible for transforming raw data into well modelled, business ready data marts and semantic layers. You will take ownership of dimensional ...

ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary ...

ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary ...

trusted with meaningful responsibility, but supported by experienced engineers and product leaders. What They’re Looking For 2–4+ years’ experience in data engineering, analytics engineering, or similar roles Comfortable working with ambiguous requirements and evolving priorities Strong fundamentals in Python, SQL , and working with large or complex datasets ...

everything” on day one — learning and iteration are part of the role. What They’re Looking For 2–6 years’ experience in data engineering, analytics engineering, or product-focused engineering Experience working on products or platforms , not just isolated projects Confidence turning loosely defined business problems into clean technical solutions ...

future hiring needs. Market Insights : Conduct competitive intelligence and talent mapping to remain ahead of market trends and strengthen strategic hiring decisions. Recruitment Analytics & Reporting : Provide regular updates to stakeholders through group reporting and internal dashboards, ensuring process optimization and accountability. Continuous Improvement: Drive improvements in candidate experience and optimize ...

LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection ...