26 to 50 of 688 Analytics Jobs in the City of London

at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial Intelligence, Data Engineering, Data Analytics, and Software Development, the team is revolutionising the auditing process to deliver smarter, faster, and more reliable outcomes. Our mission is to design and implement robust, intelligent, and scalable technologies More ❯

global technology provider within the Insurtech space. The role focuses on designing and delivering ETL pipelines and scalable solutions using the Azure ecosystem, with an emphasis on enabling advanced analytics and data-driven decision-making. As a key player in a high-performing data engineering team, you will contribute to large-scale transformation initiatives within the P&C Insurance space More ❯

supporting a global financial services firm in the search for a Head of Data Science a strategic and delivery-focused leader who will drive enterprise-wide impact through advanced analytics, machine learning, and generative AI. This is a high-profile opportunity to lead a global team and embed data science into the core of decision-making, product innovation, and operational More ❯

visualisation efforts – whether its Tableau, Power BI, or Cognos you’ll create compelling visualisations that bring data to life. Contribute to the development of a fantastic visualisation layer for analytics, making complex insights accessible and actionable. Key Skills and Experience NLP Mastery Proficiency in LLMs and transformer architecture. Deep understanding of traditional NLP techniques. Data & Visualisation Solid grasp of data More ❯

Technical Business Analyst – Insurance Pricing Systems Location: London (Hybrid - 2 days on-site) Salary: £75,000 – £120,000 + full package Department: Product & Analytics Reports to: Product/Business Systems Lead We’re partnering with an award-winning InsurTech transforming how insurers, reinsurers and MGAs build and deploy pricing models. Their no-code platform converts Excel, Python and R models More ❯

Data Scientist - data and analytics +6 months +Fully remote working +Inside IR35 +£450 - £525 a day We're looking for an experienced Data Scientist to play a key role in turning complex data into clear, actionable insights. You'll be responsible for the full data lifecycle - from collection and cleaning to analysis, modelling, and communication of findings - ensuring all More ❯

Role: Lead Data Scientist Location: London (3 days per week onsite) Salary: £98,000 + Bonus Start Date: ASAP A leading AI-driven insights and analytics business is seeking a Lead Data Scientist to play a pivotal role in shaping the organisation’s data strategy. You’ll lead complex data science projects from inception to deployment while mentoring a growing More ❯

the Company Our client is a boutique data and cloud consultancy that partners with leading organisations across industries to deliver transformative, data-driven solutions. With expertise spanning data engineering, analytics, AI, cloud modernisation, and governance , the company helps clients unlock business value and accelerate digital transformation. Operating globally with a strong UK presence, the consultancy works with enterprise clients across More ❯

findings · Raise key issues and risks in a timely manner to the Project Manager/Delivery Lead · Liaise with different levels of the hierarchy, especially with Development Leads, Quantitative Analytics and Risk Managers · Follow good processes and practices, as defined by the team standards; ensuring that documentation is complete, comprehensive and signed off · Assist with the prioritisation and planning of More ❯

Request”. Role: Principal Data Engineer Job Type: Permanent Location: Norwich/London (Hybrid) Number of hours: 40 hours per week – full time Are you passionate about Data and Analytics? We have an exciting role for you – Principal Data Engineer. Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just More ❯

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Analytics Manager you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build … advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilitie sLead data analysis initiative s across the subscriber lifecycle, from acquisition to retention and lifetime value .Define and maintain report s to track KPIs, providing actionable insights to stakeholders across the business .Develop, improve … and maintain customer segmentation model s to provide deep insights into the subscription base and inform Product/Marketing strategies .Utilise predictive analytics and retention modellin g to forecast churn risk and customer behaviour, leveraging data science techniques .Collaborate with cross-functional team s, including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives More ❯

and Excel. * Collaborate with stakeholders to understand reporting needs and deliver scalable solutions. * Ensure data accuracy and compliance with governance standards (e.g., GDPR). * Provide BAU and ad hoc analytics for initiatives, audits, and surveys. * Act as a subject matter expert on people data and proactively resolve data quality issues. Skills & Experience: * Minimum 1 year in L&D/people More ❯

driving the development of innovative solutions to support complex, enterprise-scale systems. Role & Responsibilities: Lead the design and delivery of enterprise applications and reporting systems Develop tools for dashboards, analytics, and operational monitoring Build and maintain APIs, data pipelines, and automation for business processes Implement scalable solutions to improve operational efficiency and data quality Enhance and integrate commercial off-the More ❯

modern delivery practices, API and third-party risk, and performance metrics. Able to influence through insight and credibility rather than authority. Interested in emerging areas like agentic AI, data analytics, and visualisation. Strong academic background, ideally in Computer Science, Engineering, or a related analytical field. More ❯

ceremonies to ensure smooth delivery. Provide regular updates to senior stakeholders on progress, risks, and dependencies. Experience & Skills Required Proven experience as a Product Owner , ideally within data or analytics-driven environments. Strong understanding of data platforms , ETL pipelines , and cloud technologies (Azure, AWS, or GCP). Experience working in Agile/Scrum delivery models within enterprise-scale organisations. Excellent More ❯

months - likely to extend About the Role We’re partnering with a financial client that’s undertaking a large-scale data transformation, modernising legacy systems and building a unified analytics platform in the cloud. As part of this initiative, you’ll play a key role in developing and optimising a Snowflake-based data warehouse and delivering high-quality visualisations and More ❯

with cross-functional teams, and processing large volumes of data. You will work closely with business and technical teams to deliver robust data models and transformations in support of analytics and reporting needs. • Responsibilities: • Design and develop ETL pipelines using ADF for data ingestion and transformation. • Collaborate with Azure stack modules like Data Lakes and SQL DW to handle large More ❯

technologies and their impact on enterprise architecture. Desirable Skills Experience with Microsoft Azure technologies (e.g., Data Factory, Synapse, ADLS, Databricks, Power BI). Understanding of enterprise data architecture and analytics platforms. More ❯

wide data solutions. What You ll Need Proven experience as a Business Analyst on large-scale data transformation programmes. Strong understanding of data platforms, data lakes, data governance, and analytics within enterprise environments. Experience working with cloud-based data solutions (e.g. Azure, AWS, or GCP) and associated technologies such as Data Lakes or Databricks. Excellent communication and stakeholder management skills More ❯

overall system robustness. Participate in incident reviews and continuous improvement initiatives within the squad. Tech You’ll Work With Python (primary language) SQL Large-scale data workflows (ETL, transformation, analytics) Parquet and columnar data formats Cloud environments — experience with any major cloud provider is great AWS experience (Redshift, Lambda, ECS, S3) is nice to have , not required GCP/Azure More ❯

Produce detailed reports summarizing data science maturity, practice gaps, and recommendations for scaling responsibly and effectively. Qualifications • 6–10 years of experience in applied data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on More ❯

scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

the Company We’re an award-winning technology company building cutting-edge products that power the future of audience engagement, insight, and brand intelligence. Our platform leverages AI, data analytics, and beautifully designed digital experiences to help global brands understand, connect with, and activate their communities. We’re now looking for an Engineering Lead/Manager to guide our growing More ❯

At Quantifi, we’re building advanced risk, trading, and analytics software used by some of the world’s largest and most sophisticated financial institutions — from global investment banks to leading asset managers and commodities firms. Our development team sits at the heart of this mission, applying modern technologies to solve complex problems in financial derivatives, risk management, and pricing. We More ❯

and problem-solving abilities Project Management: MS Project, Jira, Confluence, Asana, Trello, or similar Collaboration & Communication: Microsoft Teams, Outlook (for meeting management & scheduling), SharePoint, OneDrive,Miro/MURAL Reporting & Analytics: Power BI, Tableau, advanced Excel; strong ability to produce quarterly, annual, and executive- level reports. Governance & Compliance: ServiceNow, Archer GRC, or similar platforms Strong report-writing and presentation skills, with More ❯