26 to 50 of 64 Data Analytics Jobs in the City of London

our people, and deliver outstanding legal services to clients. This role focuses on transforming the tools and systems that empower our legal teams. It requires a strategic mindset, a data-driven approach, and strong collaboration with legal professionals and technology teams to create world-class solutions. Duties and Responsibilities Strategic Product Leadership Define and drive the Product Vision & Strategy … focusing on delivering measurable value for legal professionals and clients. Lead a continuous discovery process, gathering real-world insights, testing assumptions, and iterating based on user feedback. Develop a data-driven product roadmap, ensuring strategic alignment with business goals while maintaining flexibility to adapt to evolving needs. Champion innovation and problem-solving, leveraging emerging legal technologies, automation, and AI … impact. Performance Monitoring and Reporting Define, track, and communicate value-driven KPIs, ensuring that product success is measured by its impact on legal service efficiency and client experience. Use data analytics to drive decision-making, continuously refining product strategy based on performance insights. Regularly present insights, progress, and strategic updates to senior leadership and key stakeholders. Resource Planning More ❯

the strategy and execution of our eCommerce initiatives, scaling practices across the entire Employee and Merchant Products portfolio. Your deep expertise in eCommerce marketplaces, conversion rate optimization (CRO), and data-driven strategies will enable you to create valuable products for both users and merchants. You will leverage your knowledge of ad tech, promotions, and sponsored solutions to enhance our … experience through effective purchase flows and checkout journeys. Team Management and Development: Lead, mentor, and develop a team of Product Managers focused on eCommerce. Foster a culture of innovation, data-driven decision-making, and high performance. Hold team members accountable for their goals and support their professional growth. Cross-functional Collaboration: Work closely with Engineering, Design, Marketing, Sales, Merchant … deliver high-quality eCommerce products. Collaborate with Merchants and Partners to enhance product offerings and promotions. Coordinate with other Product Directors to ensure alignment and integration across product lines. Data and Analytics: Utilize data analytics to inform product decisions, optimize performance, and identify new opportunities. Leverage eCommerce-related data to drive personalization, targeting, and promotional More ❯

Analytics Manager Central London | Hybrid (3 days in-office) £75,000 – £85,000 The Company A fast-growing technology business transforming how commercial risk is matched in the insurance space. Fresh from a successful funding round and on track for rapid growth this year, they are now hiring an Analytics Manager professional to shape and drive their analytics function. The Role As the Analytics Manager , you will be the go-to person for data insight delivery across both client-facing and internal operational reporting. You’ll work closely with the product and data teams to improve the platform's performance, enhance reporting processes, and guide the future of customer insight delivery, with plans to … to day: Own and deliver customer-facing reports that provide insight into insurance risk and matching decisions Act as the principal point of contact for any client queries on data, portfolio insights, or platform performance Develop and maintain operational dashboards and reports to support internal teams Collaborate with the Product team to enhance the platform’s data services More ❯

for managing the delivery of a range of financial crime projects. The team assists clients to assess, assure, review, test, and improve their financial crime systems whilst using innovative Data Analytics tools and approaches. They will be expected to collaborate across FS Consulting to deliver the best solutions for our clients. An Assistant Manager who is a Technology … framework-wide or thematic reviews. What will you be doing? Combine technical financial crime knowledge (across transaction and fraud monitoring, transaction and customer screening, and customer due diligence) and data analytics knowledge to deliver projects to a high standard. Leverage your technical knowledge, experience, and contacts to contribute to the development of proposals and in generating new business … due diligence, and fraud detection. Risk Management: Experience in assisting with scoping, adherence to risk and management standards, internal financial management, managing delivery risk, production, and review of deliverables. Data: Ensuring teams can balance and manage data analysis of large volumes of data, structured and unstructured, utilising a wide range of database management systems, reporting systems, and More ❯

Data Scientist - Marketing/Customer Analytics London/Reading– Hybrid (2 days in London, 1 day in Reading) (Flexi Hours) Up to £60,000 + Benefits About the Role A leading research and insights company is looking for a Data Scientist to join their growing team. With a strong focus on data-driven decision-making, they … help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of solutions for complex client challenges, defining clear success criteria. Support and mentor junior … expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research teams across the UK, US, and India. What We’re Looking For Experience in Data Science, with a proven track record of delivering More ❯

are exclusively partnered with a leading London Markers (Re)Insurer going through a period of change & transformation, looking to utilise modern AI tools, to create efficiency's within their Data Work-flows & Finance Processes. This individual will support their Head of Finance Transformation, Head of Data & Head of Change to manage and implement finance change initiatives, designing & testing … those solutions.The organisation are looking for a skilled Insurance Technical Accountant, with strong data analytics skill, and experience in end-to-end finance change as a Project Manager/Lead.ROLE RESPONSIBILITIES: Strategic planning of the Finance transformation roadmap and the prioritisation and management of all aspects of Finance projects and improvement initiatives Project manegement of Finance transformation initiatives … management Conduct finance change workships internally Design solutions to support with ongoing finance change initiatives Work alongside the IT, Tech & Change & Operations teams to implement changes to the finance data process Focus on standardising finance processes, controls, reporting and reconciliations across the Company ESSENTIAL REQUIREMENTS: Qualified Accountant with Industry or Practical Insurance Accounting Experience Highly analytical, able to interpret More ❯

someone with over 4 years of development experience who thrives in a collaborative, office-based environment. Their core software product helps leading industrial organizations enhance asset performance by applying data science and machine learning to minimize waste and boost reliability. Full Stack Developer Opportunity Location: London (Office-based, collaborative team) Salary: £55,000 - £65,000 Industry: Data Analytics … Java and Python . Collaborate on infrastructure setup and maintenance. Focus on testing, coding, and refactoring to ensure high-quality solutions. Work closely with cross-functional teams (developers, DevOps, data scientists, product managers) in an agile methodology . Their Tech Stack includes: Backend: Spring & Spring Boot, Java, Python, FastAPI Frontend: Vue.js Cloud: AWS Databases: Elasticsearch & Postgres And more... This … role offers exciting opportunities to dive into various areas, including Natural Language Processing, Random Forest and Monte Carlo Simulations, Classification, Big Data ETL Pipelines, High Volume Event Processing, Predictive Analysis, CI/CD Cloud Ops, Mentoring, UX Design, Data Visualization, and Build Management Systems . This is a brilliant opportunity to join a company at the forefront of More ❯

and achievable way of developing people through a world class programme of vocational learning. Corndel delivers a range of programmes, including AI, Leadership and Management, Project Management, Business Administration, Data Professional, Data Analytics, DevOps, Software Development and Fundraising. You will: Manage a caseload of learners, mentoring, coaching and equipping them to become in their roles Take our … make a difference. Required Knowledge and experience Technical skills: Confident user of MSTeams Proficient in business process modelling tools such as Microsoft Visio or similar Able to conduct simple data modelling Comfortable using data analysis tools like Excel, SQL, or specialised software like Tableau or Power BI Familiarity with project management software (e.g., MS Project, Jira) and collaboration … such as MS Practical experience in Business Analysis roles, preferably with change or transformation focus Experience with Microsoft 365, Power Platform, and AI-enabled and automation tools Awareness of data privacy, bias, and ethical issues related to AI No programming or deep technical development required, but analytical skills are important Engaging & Adaptable Communication: Ability to deliver dynamic training sessions More ❯

our Level 6 AI Engineer programme. To be successful in this role you must possesses practical expertise in machine learning, with experience across the full lifecyclefrom business scoping and data engineering through to deployment, monitoring, and ethical considerations. Familiar with classical ML techniques (e.g., regression, classification, clustering), as well as deep learning, NLP, transfer learning, and recent advancements in … contextualise these techniques in industry settings, such as financial forecasting, operations optimisation, or customer segmentation. Comfortable with key ML frameworks (such as Scikit-learn, TensorFlow, PyTorch, Hugging Face) and data manipulation tools (Pandas, NumPy), as well as version control, containerisation, and ML deployment pipelines. Understands how to apply MLOps principles in production environments To be successful in this role … maintain scalable, ethical, and production-ready AI systems. Can share personal stories of both success and failure in deploying ML, helping learners understand real-world challenges like stakeholder alignment, data quality, model drift, or technical debt in pipelines. Ideally, has worked in environments where regulatory, ethical, and governance considerations were key (e.g., finance, healthcare, public sector), with experience navigating More ❯

the future of digital production. Now, they’re hiring a Lead Product Analyst to help shape what comes next. What’s the role? 🧠 You’ll be joining the Product Data team, sitting at the centre of product strategy, user insights, and business decisions. This role isn’t about pulling data for someone else’s questions. You’ll help … closely with product, design, engineering, AI, and business teams to make sure every decision is grounded in user behaviour and real-world performance. You’ll go deep into the data, but also zoom out to tell the story, drive the strategy, and influence the roadmap. If you're excited by generative AI, curious about user behaviour, and passionate about … Collaborate with PMs, engineers, and business leads to uncover opportunities and shape roadmap priorities Lead experimentation strategy, setting up A/B testing foundations and measuring impact Combine quantitative data and qualitative research to validate ideas and identify opportunities Partner with data engineers to ensure accurate tracking and scalable analytics Turn complex data into clear, compelling More ❯

Analyst Rate - £400 - £600 Inside IR35 via umbrella Duration - 6 months Location - London A global Financial Services client of ours is searching for an Audit Analyst to work across Data, Privacy and Responsible AI portfolio, you will have a particular focus on Data and AI capability and tooling practices. You’ll support in the delivery of high-quality … audits, own the design and operational evaluation and testing of key controls and apply proficient knowledge and application of audit methodology and Data, Privacy and Responsible AI risk areas. Day to day: Contribute to the audit plan, delivering specified outcomes and providing support by working as directed within the Audit Team. Support control testing and can identify areas of … and interpret Group and Business Unit Strategy and connect audit delivery and business monitoring insights to such strategies at the Macro level. The ability to analyse, understand and communicate data as information, and to use data to drive effective audit outcomes. The ability to prioritize your work and that of others effectively to ensure timely and value-added More ❯

REWARD & COMPENSATION ROLE* SENIOR DATA SOLUTIONS CONSULTANT FOR GLOBAL CONSULTING FIRM (Experience in Consulting NECESSARY.) London Office – Hybrid (2.5 days per week in Office) Role will involve: Commercial Strategy Development: Formulate and implement strategic initiatives to expand client base and enhance data coverage across Europe. This includes identifying potential markets, leveraging industry networks, and developing tailored compensation solutions … that address regional needs and trends. Data Analysis & Insights – Utilise data analytics to build market compensation trends within each sector. Translate large datasets into actionable insights and providing clients with a clear understanding of their market positioning. Benchmarking & Market Research – Conduct comprehensive benchmarking studies on the qualitative mechanics of compensation plans and broader HR topics across EMEA. … the most exciting companies and industries. You will work alongside some of the most inquisitive minds in the industries, helping them solve complex compensation challenges. If you are a data-driven professional with a passion for any one of the industries mentioned (professional services, retail, manufacturing, tech, pharma/life sciences), this is a chance to make a significant More ❯

a well rounded Product Leader with deep experience in the consumer growth & acquisition space who is also highly commercial (has owned a P&L) and with particular strength in data analytics. You will lead the Growth and Acquisition pillar of the business and act as the business lead too. Leading a team of (~40 across product, engineering design, data science, data analytics, performance marketing, growth marketing). The commercial nature of this role is a perfect set up for those looking to move towards a CPO seat in the future. The role: Defining a comprehensive Product Growth strategy, communicating it across the business and driving its successful execution Leading, managing and scaling a team of product … managers, ensuring that product, engineering, and marketing efforts are aligned Highly data-driven with the ability to lead acquisition analysts, (you're highly numerate in nature) Driving the performance and effectiveness of all acquisition channels Key collaborator cross-functionally across engineering, product, marketing, and data team s Leading on optimisation of the customer acquisition funnel Driving the experimentation More ❯

dynamic, and achievable way of developing people through a world class programme of vocational learning. Corndel delivers a range of programmes, including Leadership and Management, Project Management, Business Administration, Data Professional, Data Analytics, DevOps, Software Development and Fundraising. You will: Manage a caseload of learners, mentoring, coaching and equipping them to develop the technical skills needed to … ethical considerations. Provide training and guidance to learners on how to deliver hands-on digital support, diagnosing and resolving application issues, monitoring system use, and promoting best practices in data security. Coach and mentor learners, helping them build confidence in their digital skills and successfully integrate AI and M365 tools into their role and organisations. Take our theoretical course … want to make a difference and who are used to working hard and achieving personal success. People who understand the complexities, challenges, satisfaction and frustrations of regularly working with data and want to pass on their knowledge and skills in conjunction with a comprehensive and highly acclaimed qualification to help others succeed. We are searching for people who can More ❯

for you. We are encouraging you to join us and work with one of our investment management clients in a position of Business Analyst with expertise in Equity and Data analytics. Our Customer is one of the world's largest investment management companies. Based in Southern California, our client manages close to $2 trillion in assets and is looking … and cooperation with multiple financial services clients. Skills Description: • experience within investment management sphere is a must • Product Management; • Business Analysis; • Confident working knowledge of Equity Portfolio Management; • Advanced data analytics and SQL skills such as: - ability to independently traverse a data model and infer data and relationships without constant guidance. - ability to confidently craft data … basic review has to be able to explore and reverse engineer understanding of the platform's capabilities and attributes. • Be able to navigate the organization to discover and negotiate data integration requirements and impact analysis. • Thought leaders capable of deeper insight determining opportunities for improvement and assessing risk. Assisting management with prioritization, escalation, and simplifying concepts that have layered More ❯

focusing on categories such as IT consulting, MRO, agency training, and equipment PPE. Additionally, you will assist the Head of Procurement in driving procurement excellence.This includes collaborating with the data analyst to gather and analyse data for reports, ensuring compliance with CSR and HSE standards, and mentoring and supporting junior team members. Key Responsibilities: Strategic Sourcing (80%): Proactively … compliance with ENGIE's Code of Conduct. Develop and implement strategic sourcing contracts. Build strong relationships with suppliers and internal stakeholders. Mentor and develop junior procurement staff. Procurement Excellence & Data Analytics (20%): Develop and maintain dashboards and visual management tools using Power BI. Support decision-making with data-driven insights. Lead Digitisation initiatives to enhance procurement operations. More ❯

Development : Enhance reporting efficiency by automating processes and leveraging BI tools and advanced software solutions. Continuous Improvement : Identify opportunities to refine and streamline reporting processes, driving automation to increase data accuracy and reduce manual workload. Collaboration : Work closely with IT, Operations, and other internal teams to implement automation solutions and optimize performance reporting systems. Dashboard & Analytics Creation : Design … ensuring smooth adoption through training and clear communication. Investment Attribution : Provide support in performance attribution analysis, ensuring reports meet both internal and client requirements. Overview: Experience in Investment Performance, Data Analytics, or a related field. Strong understanding of Fund Administration, NAV production, and performance measurement methodologies. Expertise in building interactive dashboards using tools like Power BI, Tableau, and … with tools like Power Automate, SQL, and VBA. Knowledge of performance attribution and the analysis of investment portfolio data. Excellent communication skills, with the ability to distill complex performance data into actionable insights for stakeholders. A problem-solving mindset, with the ability to tackle complex challenges and implement creative solutions. Familiarity with ESG reporting and experience using platforms like More ❯

civil, electrical, mechanical, and IT teams to optimize system interoperability in transport infrastructure. Lead the selection, specification, and deployment of IoT devices, intelligent transport systems, automation platforms, and smart analytics tools. Develop strategic roadmaps and feasibility studies for digital transformation in transport projects. Innovation & Emerging Technologies Integrate cutting-edge Artificial Intelligence (AI), Intelligent Transport, Digital Twin, Robotics (such as … Autonomous Cleaning & Delivery), and Predictive Maintenance solutions into transport hubs. Explore data analytics and smart building performance monitoring solutions to drive operational efficiency. Evaluate emerging digital trends to ensure future-proofing of transport infrastructure projects. Compliance, Standards & Sustainability Ensure compliance with international Intelligent Transportation Systems (ITS) and Smart Mobility standards and certifications such as ITE (Institute of Transportation … years of experience in Smart Mobility/Intelligent Transportation Systems (ITS), preferably, holding a Bachelor’s or Master’s degree (BA/MS) in Transportation Engineering, Computer Science, Data Science, or a related field. Proven experience as a Master System Integrator (MSI) in a major system integration company such as Siemens, Schneider, Honeywell, Johnson Controls, or similar firms is More ❯

eligible candidates will be considered Role description High-profile Salesforce project requiring technical oversight & support for pre-go live & post-launch phases. Expertise needed in environment management, DevOps, quality, data management, & integrations (e.g. OKTA, Tableau). Guide client through go live & provide ongoing support. Essential skills and experienc Expert-level knowledge of Salesforce, including Sales Cloud, Service Cloud, and … Platform Proven experience in designing and implementing large-scale Salesforce implementations Strong understanding of Salesforce architecture, including data modeling, security, and integration Experience with DevOps tools such as ADO, Git, and Bitbucket Strong understanding of Agile development methodologies and version control systems Excellent communication and interpersonal skills, with the ability to work with technical and non-technical stakeholders Ability … to work in a fast-paced environment and prioritise multiple tasks and deadlines Desirable skills and experience Experience with Salesforce Lightning and Experience Cloud Knowledge of data analytics and reporting tools such as Tableau Experience with identity and access management tools such as OKTA Certification in Salesforce (e.g., Technical Architect, Developer, or Administrator) Experience with cloud-based technologies More ❯

Mindset: Growth mindset with ability to work with a diverse and global team Technology Knowledge: Understanding of leading technologies platforms such as Salesforce, SAP, ServiceNow, and leading technologies in data analytics and AI. Project Management: Proficiency in project management methodologies and tools is crucial for overseeing the execution of digital initiatives, managing resources, and ensuring timely delivery. of … journey and developing creative solutions to overcome them. Risk Management: Strong risk management skills are essential for identifying and mitigating risks associated with digital transformation, such as cybersecurity threats, data privacy concerns, and regulatory compliance issues. Vendor Management: Proficiency in managing relationships with external vendors and partners, including contract negotiations, performance monitoring, and ensuring alignment with organizational goals, is More ❯

Mindset: Growth mindset with ability to work with a diverse and global team Technology Knowledge: Understanding of leading technologies platforms such as Salesforce, SAP, ServiceNow, and leading technologies in data analytics and AI. Project Management: Proficiency in project management methodologies and tools is crucial for overseeing the execution of digital initiatives, managing resources, and ensuring timely delivery. of … journey and developing creative solutions to overcome them. · Risk Management: Strong risk management skills are essential for identifying and mitigating risks associated with digital transformation, such as cybersecurity threats, data privacy concerns, and regulatory compliance issues. Vendor Management: Proficiency in managing relationships with external vendors and partners, including contract negotiations, performance monitoring, and ensuring alignment with organizational goals, is More ❯

Arthur are supporting a UK Insurer looking to hire a highly Analytical Finance Analyst who is able to to code, using either R & Python. The role will support the broad Finance Operations of the organisation, involved in multiple improvement & documentation More ❯

trading strategies and algorithms Automating the deployment and monitoring of trading strategies to ensure optimum effectiveness Creating tooling and infrastructure to support research and improve decision-making, such as data analytics and strategy optimization tools Architecting and maintaining high-performance trading systems using Rust SKILLS/EXPERIENCE REQUIRED: Some demonstrable commercial experience coding in Rust Understanding of trading … strategies such as arbitrage, market-making, or execution flow Solid grasp of algorithm design, data structures, and quantitative finance fundamentals including concepts like limit order books, price discovery, and microstructure dynamics Exposure to performance-critical systems: real-time data flows, shared memory communication, and techniques to minimize memory allocation and copying Degree in a technical discipline such as More ❯

the position They're seeking Quantitative Researchers with HFT experience who are interested in joining the fast-paced world of cryptocurrency trading. In this role, you will leverage advanced data analytics, mathematical modelling, and strategic thinking to derive actionable insights and refine trading algorithms. Your work will have a direct impact on profitability and help shape the future … your own. These can include modest improvements or entirely new strategies. Drawing from your experience, you will lead the research direction. Collaborate with a team of researchers to explore data from cryptocurrency exchanges, identifying patterns and formulating hypotheses for new trading strategies. Develop and test models using Python, leveraging statistical analysis and probabilistic thinking Work in pairs or independently … on various research topics, engaging in daily discussions to challenge and refine ideas. Monitor and analyse the performance of trading algorithms, visualising data and identifying areas for improvement. Communicate findings and proposed strategies to relevant teams, contributing to the enhancement of the trading platform. Must have the following 3+ years of quant experience in HFT or MFT Deep understanding More ❯

Skills Familiarity with complementary tools such as Power BI, Power Platform, or D365 CE Experience in a consulting or client-facing transformation role Broader knowledge of financial systems or data analytics Why Join? Work in a high-growth area of the business with access to global projects Be part of a collaborative and inclusive team with a strong More ❯