51 to 75 of 292 Analytics Jobs in Central London

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 ...

will also work closely with the Infrastructure/Platform Team who are responsible for architecting, and operating the core of the client's Data Analytics platform. You will: Work with both the business teams data scientists and engineers to design, build, optimise and maintain production grade data pipelines and reporting ...

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 ...

Lead and unify the EMEA Duty Safeguard Team — oversee and coordinate the three core functions: Duty Safeguard (technical/system oversight), QDA (data & analytics), and GIOC Operations (AML execution), ensuring alignment, performance, and regulatory readiness across EMEA. Ensure technical & systemic compliance — serve as local technical expert for AML systems; collaborate ...

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 ...

within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced ...

Directory, Azure Entra, and Intune environments. Manage compliance policies, conditional access, and mobile device management. Work with third-party providers supporting SIEM and threat analytics systems. Lead on implementing IT security best practices, standards, and access controls. Support infrastructure and security projects, including system upgrades and migrations. Create and maintain ...

solutions into production. Experience working closely with business teams such as Marketing, Product, or Operations. Background in one or more of: personalisation, customer analytics, conversational AI, recommendation systems, optimisation, or marketing analytics. Deep understanding of ML fundamentals across the full lifecycle. Hands‐on experience with ML frameworks (scikit‐learn, XGBoost ...

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 ...

simplifying complex systems. Experience with high-throughput, low-latency systems is highly desirable. Familiarity with cloud platforms (AWS/GCP), NoSQL databases, big data analytics, or machine learning services is a plus. Growth mindset with a genuine desire to learn, grow, and contribute to building best-in-class backend systems. ...

Global Process Owners, IT, and implementation partners, the role designs and orchestrates the Finance technology and data landscape including ERP (e.g., SAP), data platforms, analytics, and automation tools to drive standardized, end-to-end processes, higher data quality, and improved efficiency across Finance. Key Roles and Responsibilities: Technology & Data Architecture ...

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 ...

+ Benefits (DOE) Employment Type: Full-time, Permanent Overview We are seeking an experienced Data Engineer to join our growing technology and analytics function in London. This role is ideal for someone who thrives in building modern data platforms, enabling high‐quality data pipelines, and collaborating closely with Data Science … teams to deliver scalable data solutions. The successful candidate will play a key role in designing, developing, and maintaining the data infrastructure that powers analytics, reporting, automation, and AI/ML use cases across the organisation. Key Responsibilities Design, build, and maintain scalable, secure, and reliable data pipelines (batch ...

emerging technologies—with demonstrated ability to translate technical constraints into executable roadmaps Cross-Functional Strategic Alignment: Facilitate alignment between Product Management, Engineering, Data & Analytics, and Business stakeholders on quarterly/annual roadmaps; challenge assumptions and provide big-picture strategic thinking to drive innovation initiatives Specialized Technical Program Domains Enterprise Automation … firmware coordination, hardware-software synchronization, and edge-cloud data pipeline architecture; manage cross-functional teams including hardware engineers, firmware developers, and data engineers Data Analytics & AI/ML Initiative Leadership: Lead programs delivering data platform capabilities, generative AI integrations, and advanced analytics solutions; coordinate between data engineering, ML operations ...

Data Engineering Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Engineering/Technology Product Owner 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 ...

working with a tech-driven organisation looking to hire an experienced Data Engineer to help design and scale cloud-based data platforms that power analytics and reporting across the business. The Role Build and maintain robust data pipelines for collecting data into various data stores Develop clean, scalable solutions using ...

best-in-class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal) Proficiency with BI tools (Tableau or similar) 2–6 years’ relevant experience ...

need of some talented .NET Developer to help build the software applications and cloud platforms that they need to run advanced data analytics and capture information from the high speed tests that they are running on a daily basis. .NET Developer applicants should have knowledge of: .NET, .NET Core, C# ...

stakeholders. What We’re Looking For 3+ years’ experience working with Python for data preparation, aggregation, and transformation. Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets (>1TB). Experience building NLP and Computer ...

experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative ...

skills, particularly for customer and identity-centric data models. Experience implementing data security, privacy, and governance controls. Ability to design and maintain reporting and analytics for customer data platforms. Strong stakeholder management skills, with the ability to translate business requirements into technical solutions. Experience working in hybrid product/delivery ...

central Risk teams; translate data-flow headaches into buildable tech projects. Prototype at pace in Python—leveraging LLM co-pilots—to stand-up analytics services, REST APIs and lightweight Dash/React front-ends. Own the full stack: data ingestion (SQL, files, feeds), business logic, web/UI, CI pipelines ...

100K+ About Orcan Intelligence Orcan Intelligence is a specialist IT consultancy delivering senior-led transformation across five core pillars: Infrastructure & Cloud Data & Analytics Cybersecurity Finance Custom Software Development We partner with SMEs to deliver high-impact solutions on a staff-augmentation or project basis. Our sales team shapes client relationships ...