126 to 150 of 723 Analytics Jobs in Central London

asset manager building out their data function within the investment team. They’re looking for a hands-on Data Engineer/BI Developer to build data pipelines, dashboards and analytics tools that directly support portfolio managers, traders and risk teams. You’ll be doing things like: Building Snowflake and SQL-based data pipelines (Bloomberg, SimCorp, market data feeds). Creating More ❯

patterns. Play a key role in standardising AI into a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. How to Apply More ❯

consulting. Strong knowledge of financial services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role More ❯

principles (data structures, algorithms, OOP). Strong problem-solving skills and attention to detail. Eagerness to learn about trading systems, low-latency development, and financial markets. Experience with data analytics tools or frameworks (Python, SQL, Pandas, etc.) is advantageous but not essential. A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Why Join Us More ❯

Data Modelling, DAX We are looking to recruit a Power BI Developer for a leading technology consultancy on an initial 3 month contract. Working in my client's Reporting & Analytics Team the successful candidate will be responsible for processing and translating finance and sales data into actionable dashboards, supporting the business as it evolves through its Target Operating Models. This More ❯

driven solutions that transform decision-making and operational performance. From major banks and asset managers to insurers and fintech disruptors, they help their clients harness the power of advanced analytics, machine learning, and AI to stay competitive in a rapidly evolving industry. *If you’re looking for an opportunity to shape the future of applied AI in this sector, this More ❯

and unstructured data from multiple sources and APIs. Develop and optimise ETL/ELT workflows using Azure Data Factory, applying robust transformation logic, validation, and lineage tracking to support analytics and reporting. Modernise and manage databases , ensuring performance optimisation, governance standards, and scalable architecture across regions and environments. Oversee cloud operations and resilience , including usage optimisation, disaster recovery, and data More ❯

you will enable data-driven decision-making through well-structured, scalable systems. You should be comfortable operating independently across the full data lifecycle — from ingestion and transformation through to analytics delivery and monitoring. Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python More ❯

bonus 25 days annual leave + bank holidays + option to buy and sell 10% employee pension contribution Life Assurance, plus much more Requirements: Proven experience in operations performance, analytics, or workforce planning in a global insurance environment. Experience designing and operating performance management frameworks, management reporting, forecasting and capacity planning at scale Strong analytical skills with expertise in BI More ❯

team to formulate/execute a sales strategy to exceed revenue objectives Working on Microsoft Azure PaaS and IaaS, specifically: App Services, Azure SQL Database, SQL Server, Storage, Synapse Analytics, Purview, Databricks, Azure data Factory, Azure data lake. Understand which Azure data focused components to use for which purpose Your Skills and Experience Our projects are varied, sometimes you may More ❯

accessibility and reliability. Take part in architecture and design discussions, ensuring solutions are scalable, testable, and well-documented. Improve data ingestion, orchestration, and metadata systems to support a growing analytics platform. Offer technical insight and second/third-line support on complex data issues. What You’ll Need 6+ years of professional software engineering experience. Strong programming background in Python More ❯

data platform setup Ensure the data platform is fit for purpose for the future development of the business Requirements Expertise in Microsoft Fabric data engineering Excellence in Microsoft Fabric analytics (or Power BI) Excellent communication skills to work across technical and non-technical teams Proven Experience with Microsoft Fabric (Desirable) Previous experience in migration projects (e.g. moving from legacy BI More ❯

Security & Access Management: Administer Conditional Access Policies, manage application registrations, and enforce secure identity and access practices. Monitoring & Incident Response: Configure and manage tools like Azure Monitor and Log Analytics to proactively detect and resolve issues. Compliance & Documentation: Maintain accurate technical documentation and ensure adherence to security and regulatory standards. Collaboration & Continuous Improvement: Partner with development, security, and operations teams More ❯

and MLOps workflows. Use tools such as Azure Key Vault, Microsoft Entra ID, and GitHub Actions for secure deployment and access management. Monitor AI systems using Azure Monitor, Log Analytics, and Application Insights. Policy Implementation & Regulatory Alignment: Translate regulatory requirements into actionable engineering guidelines and reusable controls. Ensure AI systems avoid prohibited practices and meet obligations around: Transparency and user More ❯

have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited More ❯

/CD systems to enhance team workflows Guide team members in code architecture, development standards, and deployment processes Serve as the technical authority for computationally demanding tasks, especially spatial analytics and GIS-based product development Implement scientific research findings into production-ready code Collaborate with our Engineering department to align code design, versioning strategies, and release cycles Essential Qualifications Master More ❯

Lead Data Scientist | Life Science | Hybrid (London) Up to £130k + equity We’re partnering with a pioneering health technology company using machine learning and predictive analytics to transform how cardiovascular and metabolic diseases are detected, treated, and ultimately prevented. Their mission is to use AI and data science to extend global health span by identifying individuals at risk of More ❯

with the Technology function. User Training & Enablement Deliver onboarding and ongoing Salesforce training to new and existing users. Create and maintain user documentation, training guides, and knowledge resources. Reporting & Analytics Build and maintain dashboards and reports for internal and external stakeholders. Ensure reporting outputs are accurate, consistent, and aligned with business needs. Respond to ad hoc reporting and data analysis More ❯

platforms, Generative AI models (LLMs), Agentic AI frameworks, RPA tools. CCaaS: Genesys, Avaya, NICE, Five9, Amazon Connect. Cloud platforms: AWS, Azure, Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics, reporting, and modelling tools. Qualifications Significant experience in Presales, Solutions Consulting, or Technical Architecture. Proven track record in delivering AI-enabled CX transformation projects. Bachelor’s or Master’s degree More ❯

visualisation tools like Altair Panopticon or Power BI would be a distinct advantage KEY RESPONSIBILITIES Work closely with the FX front office team by taking requirements and developing user analytics and solutions to aid MIS, pricing/trading algorithms and ultimately P&L. Prototype solutions in a fast, agile manner with numerous demands from Front Office teams. Be comfortable performing More ❯

for our clients. As part of this practice, we have a strategic alliance with Quantexa, which plays a key role in helping organisations unlock insights through entity resolution, network analytics, and contextual decision intelligence. We are seeking a Senior Data Engineer - Quantexa to join our Quantexa delivery team. This role offers the opportunity to work on large-scale data engineering More ❯

years’ experience in product management, ideally with exposure to marketplace or consumer tech environments. Proven track record improving conversion and monetisation in B2C products. Deep understanding of product experimentation, analytics, and data-informed decision-making. Strong commercial instinct: able to think in terms of revenue, margin, and customer value. Experienced working closely with designers, engineers, and analysts to ship impactful More ❯

IT infrastructure , ideally across: International corporate networks End-user compute within corporate environments Data centre infrastructure (server, storage, virtualisation) Public cloud platforms (Azure, AWS, GCP) Big data, visualisation and analytics Leadership experience in project and programme delivery Experience as a client lead or consulting lead under senior sponsorship Exposure to the full delivery lifecycle from business case and initiation through More ❯

driven ecosystem that applies AI, augmented reality, computer vision, and live video collaboration to transform workflows in operating theatres and procedure rooms around the world. Their pioneering video and analytics platforms enable hospitals and clinical teams to capture, review, and learn from surgical procedures in real time. As these technologies continue to expand into new regions and interventional settings, the More ❯

SAP Excellent understanding of SDLC Working experience in requirements elicitation, documentation, and project management Working with major project management methodologies (Waterfall, Agile, etc.) Desirable Experience with modern reporting and analytics technologies and platforms. More ❯