526 to 550 of 703 Analytics Jobs in Central London

About Tredence Tredence is a global analytics services and solutions company. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do … this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data. Role Overview As a Client Partner , you’ll work hand-in-hand with senior leaders to nurture and expand relationships with our strategic retail … one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest, friendliest, hardest working people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our clients, some of the largest and most innovative businesses in the world. More ❯

month in the office (just outside London) A leading tech client is hiring a Data Architect to design and evolve scalable data platforms and modern data products that underpin analytics, AI, and data-driven decision-making. You’ll work in a cross-functional team of Data Engineers, Analytics Engineers, Data Scientists, and AI Specialists to build the data foundations that … using cloud-native technologies such as Databricks and AWS across development, staging, and production environments Build and govern dimensional data models and semantic layers to power consistent and trusted analytics Integrate data from diverse sources including cloud warehouses, APIs, and operational systems Define semantic layers using dbt and Delta Live Tables to ensure consistency across analytics and AI use cases … record of designing and implementing complex dimensional models and enterprise-wide canonical data models The ability to translate complex business processes into scalable and intuitive data models that support analytics and AI Extensive experience designing fact and dimension tables across core business domains Deep practical knowledge of semantic layer design using dbt, SQL, and Delta Live Tables Experience building and More ❯

Senior Data Engineer – Hybrid/London - £130K + Bonus & Benefits – FinTech Overview: An established global FinTech organisation is seeking a skilled Senior Analytics Engineer/Data Engineer to help define and manage its analytical data models and semantic layers. You will support the development of reliable, well-structured datasets that enable accurate reporting, improved data accessibility, and better decision-making … across the business. Fluent Russian language skills are essential for this role. Role & Responsibilities: Build and maintain scalable semantic/analytics layers to create consistent business metrics and definitions. Work with teams across the business to understand requirements and translate them into reliable models. Develop core data models following modern data warehouse principles. Write high-quality SQL and maintain dbt … based transformations, tests, and documentation. Support colleagues by ensuring data quality and clarity throughout the analytics ecosystem. Collaborate with data engineering teams to shape upstream data needs. Work with analysts and data consumers to promote usability and data literacy. Essential Skills & Experience: Fluent Russian language proficiency. Experience as an Analytics Engineer or Data Engineer, particularly in data modelling. Strong SQL More ❯

develop and manage key reporting tools, enabling critical underwriting and portfolio management decisions to be informed by current and historical underwriting performance. You will require experience in a Data Analytics role, ideally within a Lloyd’s Market insurance business. The role will involve the analysis and development of the dashboards, enhancements, documentation, quality control and being part of data change … key decisions. Required experience and skills Power BI SQL Insurance (ideally London Market) Underwriting knowledge and understanding Excel Strong communication skills Excellent problem-solving ability Ability to translate complicated analytics concepts into simple and relevant messages Hybrid - 4 days per week in the London office This role is a good step up for a Data Analyst with a few years More ❯

at the forefront of the green tech space. With thousands of charging points across the UK and exciting new contracts secured, this company is heavily investing in data and analytics to drive smarter, more sustainable decision-making. THE ROLE As a Senior Data Analyst, you’ll report directly to the Head of Data and manage one Data Analyst. You’ll … a comprehensive benefits package and hybrid working (3 days in the office). This is a brilliant opportunity to join a purpose-driven company and shape the future of analytics in the green energy space. More ❯

focus on data. As a Lead Engineer, you will set the technical direction for our data platform and shape how data enables every part of the business: lending, finance, analytics, and risk. This is a hands-on leadership role in a high-trust, high-ownership environment. You’ll lead a squad of talented engineers, architect the future of our data … using DBT and BigQuery. Scaling a cloud-native data platform with strong automation and monitoring. Improving data lineage, governance, reliability, and security. Enabling self-service capabilities for product and analytics teams. Shaping a modern, greenfield data strategy with genuine engineering freedom. You’ll be a strong fit if you Have 7+ years in data or backend engineering, including 2+ years More ❯

Track and support transformation initiatives, ensuring portfolio companies deliver measurable outcomes from data-driven initiatives. Collaborate with senior leaders across portfolio companies to embed best practices in data governance, analytics, and cloud-based architectures. Drive operational excellence, enabling portfolio companies to use data as a catalyst for innovation and long-term growth. What We’re Looking For Proven track record … architectures (AWS, Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn). Exceptional stakeholder management skills, comfortable engaging with C-suite executives and senior investors. Strong knowledge of data governance and compliance frameworks (GDPR, CCPA). More ❯

Technical Business Analyst/Product Owner – Underwriting Workbench Systems Location: London (Hybrid - 2 days on-site) Salary: £75,000 - £120,000 + bonus & benefits Department: Product & Analytics Employment Type: Full-time About the Role: An exciting opportunity to join a fast-growing InsurTech delivering cutting-edge underwriting workbench technology for global insurers, MGAs, and reinsurers. You’ll sit between business … optimise submission, triage, quote, and bind processes. Define and enhance integrations between underwriting workbench, pricing engines, and policy administration systems. Manage API and data model requirements to support automation, analytics, and reporting. Lead backlog management, sprint planning, and UAT. Deliver continuous improvements to workflow efficiency and underwriting performance. Required Experience: 3+ years’ experience as a Business Analyst or Product Owner More ❯

engineering, data science, and quant teams to design intelligent solutions that enhance performance, reduce risk, and automate complex workflows. Define use cases for machine learning models, NLP, and predictive analytics across trading, compliance, and risk domains. Partner with sales, marketing, and client success to drive go-to-market and ensure commercial success. Keep a pulse on emerging trends in AI … product vision. About You 7+ years’ experience in product management within capital markets, trading technology, or financial SaaS . Strong understanding of AI/ML concepts (NLP, LLMs, predictive analytics) and their real-world application in financial workflows. Technical fluency—comfortable working with data scientists and engineers to evaluate feasibility and prioritise intelligently. Proven success delivering enterprise-grade SaaS products More ❯

across content, communications, and events. Champion data culture and capability, ensuring every team understands and uses insight to drive results. Required Skills 5+ years’ experience in a senior data, analytics, or business intelligence role with multi-system ownership. Proven track record of connecting and managing complex datasets across CRM (Hubspot), marketing, finance, and external sources. Skilled in data visualisation and … make data meaningful for non-technical teams. Preferred Skills Experience in B2B media, membership, or data-driven publishing. Familiarity with HubSpot and marketing automation tools. Knowledge of AI, predictive analytics, or data-led product development. Understanding of the UK SME and mid-market landscape. More ❯

delivering enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, natural language processing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture, and development processes. Collaborate with stakeholders to define AI strategy, translate business needs into … bid writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non-technical More ❯

and non-technical stakeholders Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python … building and deploying APIs Strong visualization and communication skills , with the ability to translate complex technical findings into actionable insights for coaches, analysts, and execs Highly Desirable Skills Football Analytics Experience : Familiarity with football-specific datasets (event, tracking, positiona l), and libraries like mplsoccer Advanced MLOps & Modelling : Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as More ❯

Chief Technology Officer (CTO) - Hands-On Back-End Developer Remote-Friendly | London HQ | Award-Winning Agricultural Technology Software Company Join an award-winning agricultural analytics software company that's redefining sustainable food production through data-driven technology . We're seeking a hands-on Chief Technology Officer (CTO) — an exceptional technical leader who thrives on both strategic vision and deep … functionally with data scientists, agronomists, and stakeholders to shape product direction. Own cloud infrastructure strategy and implementation on Microsoft Azure . Lead innovation in sustainability-focused agricultural technology and analytics . Contribute to recruitment and technical assessment (including coding challenge design and review). Candidate Assessment Process Our selection process includes a LeetCode-style technical challenge to evaluate: Algorithmic problem More ❯

skills. Exceptional problem-solving abilities. Education and Experience: Degree in Computer Science or related field. 7+ years of software development experience using Python or any other OOP languages. Clearwater Analytics (NYSE: CWAN) is transforming investment management with the industry’s most comprehensive cloud-native platform for institutional investors across global public and private markets. While legacy systems create risk, inefficiency … time data and AI-driven insights throughout the investment lifecycle. The platform eliminates information silos by integrating portfolio management, trading, investment accounting, reconciliation, regulatory reporting, performance, compliance, and risk analytics in one unified system. Serving leading insurers, asset managers, hedge funds, banks, corporations, and governments, Clearwater supports over $8.8 trillion in assets globally. Learn more at www.clearwateranalytics.com . More ❯

Business Product Owner, Data Analytics, Azure, Data Engineering, AI, ML, Azure, Mainly Remote Product Owner (Technical and Business) required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States on occasions click apply for full job details More ❯

London | Hybrid/Remote | £70,000 - £90,000 + stock options + Benefits Company Overview We’re a fast-growing FinTech building fairer and smarter lending solutions. Using advanced machine learning and rich financial data, we create credit products that More ❯

Data Management Analyst Location: London | Type: Permanent | Sector: Insurance *MUST HAVE INSURANCE EXPERIENCE* Arthur has partnered with an insurance and reinsurance business that offers solutions for high-risk, high-capacity commercial and industrial enterprises, combining expertise with cutting-edge science More ❯

Senior Product Designer - £80,000 - Data & Analytics - London A leading data and analytics organisation is seeking a Senior Product Designer to help shape the next generation of data-driven insights products. This role offers the opportunity to transform complex data into intuitive, visually engaging experiences that empower businesses to make smarter, evidence-based decisions. The Senior Product Designer will take … will play a pivotal part in defining how users interact with analytical tools and visualise information at scale. Key Responsibilities Lead the design strategy for products focused on data analytics, insights, and performance benchmarking. Translate complex datasets into clear, engaging, and interactive user experiences. Own the full design lifecycle - from discovery and user research to UX, UI, and prototyping. Collaborate … with front-end developers to ensure accessible, scalable, and sustainable design implementation. Partner with data engineering and AI teams to integrate NLP, LLM, and advanced analytics into user workflows. Define and evolve visual languages, data visualisation systems, and design standards across products. Use qualitative and quantitative research to inform design decisions and prioritisation. Facilitate ideation sessions, design reviews, and cross More ❯

hire a Head of Data Technology to shape and deliver its enterprise data vision.This senior leadership role will oversee the design, implementation, and optimisation of data platforms, governance, and analytics capabilities that enable smarter, data-driven decision-making across the organisation. Key responsibilities: Lead cross-functional teams in data engineering, management, governance, and analytics enablement. Define and deliver a scalable … data and analytics architecture that supports organisational strategy. Drive continuous improvement in data platforms, ensuring quality, security, and compliance. Act as a strategic partner to senior leaders, shaping the roadmap for data technologies and operations. Champion data governance and best practices, embedding them across teams and functions. About you: Proven experience leading large, cross-functional data teams in complex organisations. More ❯

hire a Head of Data Technology to shape and deliver its enterprise data vision.This senior leadership role will oversee the design, implementation, and optimisation of data platforms, governance, and analytics capabilities that enable smarter, data-driven decision-making across the organisation. Key responsibilities: Lead cross-functional teams in data engineering, management, governance, and analytics enablement. Define and deliver a scalable … data and analytics architecture that supports organisational strategy. Drive continuous improvement in data platforms, ensuring quality, security, and compliance. Act as a strategic partner to senior leaders, shaping the roadmap for data technologies and operations. Champion data governance and best practices, embedding them across teams and functions. About you: Proven experience leading large, cross-functional data teams in complex organisations. More ❯

based – South East England/London area) Full private medical | Modern data stack | AI-driven transformation Are you an experienced insights leader who thrives at the intersection of digital analytics, data science, and commercial strategy? Our client – a leading UK brand undergoing a major AI and digital transformation – is seeking a Digital Product Insights Lead to drive data-led decision … Engineering teams to ensure data quality and readiness. Coach and mentor a team of analysts, fostering curiosity and innovation. Act as the bridge between data and business stakeholders, translating analytics into commercial outcomes. Tech Environment Tools: SQL, GA4, BigQuery Languages: Python, R Environment: Modern data infrastructure with dedicated tagging and engineering support. No tagging work required – focus purely on insights … and impact. About You 5+ years’ experience in analytics, insights, or data science roles. Strong background in digital analytics, predictive modelling, or behavioural insights. Proven ability to translate data outputs into business actions. Experienced people leader with a track record of motivating high-performing teams. Energetic, proactive communicator who can engage technical and non-technical audiences alike. Passionate about leveraging More ❯

significant thought leadership, quality decision making, deep technical know-how, and an ability to navigate complex business challenges while building and leading a team of world class data and analytics leaders. Within the framework of Digital First, a new position has been established to develop and scale Data & Analytics (D&A) products to unlock SRM potential in Mars: SRM Promotions … A products to collaboratively transform our collective capabilities and maturity, and drive a culture of data driven, informed decision-making Collaborate with cross-functional teams to design and implement analytics solutions that scale and are aligned with product objectives set out in the roadmap Develop and implement a comprehensive data strategy ensuring effective collection, storage, and utilization of relevant data. … a sound data foundation for all growth initiatives. Be laser focused on value creation and exceptional adoption of created capabilities to deliver impact/results through routine or advanced analytics, identifying opportunities for efficiency improvements Engage with internal and external stakeholders, ensuring alignment between D&A initiatives and business objectives Lead a high performing D&A team, direct/dotted More ❯

Data Analyst Agency-side £400 per day 3 days per week in London Office Roles and Responsibilities Lead digital analytics for an automotive client. Own monthly reporting and lead review sessions with the client. Drive GA4 and web analytics implementation and reporting. Deliver core analytics projects using SQL and Python. Build and maintain dashboards using Power BI and Looker. Support … annual account planning, with a focus on media analytics. Analyse media performance and provide insights. Apply CRM knowledge (Salesforce) from a digital analytics perspective. Core Requirements Advanced SQL and Python skills. Strong GA4 and digital analytics experience. Proven dashboard development in Power BI and Looker. CRM experience, specifically with Salesforce. Previous agency experience. More ❯

A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You’ll be part of a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive sports analytics. … THE ROLE Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge AI techniques (e.g., deep … pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment in production environments Preferred: Sports data analytics, time-series forecasting, or computer vision experience Infrastructure: AWS/GCP/Azure, Docker, Kubernetes, MLflow, CI/CD pipelines Bonus: Experience with wearable/sensor data, player tracking, or More ❯

Product Data Analyst/Scientist to help shape product strategy and deliver actionable insights. THE ROLE As a Product Data Analyst/Scientist, you will: Own and drive product analytics, focusing on user behaviour and personalisation. Deliver insights that directly influence product strategy and experimentation. Build and maintain dashboards to track product performance and user engagement. Partner with stakeholders across … product and analytics to communicate insights effectively. Support the business in becoming more data-driven, shaping commercial and product decisions. YOUR SKILLS AND EXPERIENCE Experience in product analytics, within B2C consumer tech businesses Strong SQL skills essential. Proficiency with data visualisation tools (Looker preferred, open to others). Experience with Python desirable. Product analytics expertise: experimentation, dashboarding, and driving product More ❯