301 to 325 of 2,173 Analytics Jobs in the UK

lake, warehouse, lakehouse) Establish data standards, governance, and modelling approaches Translate business requirements into architectural designs and roadmaps Govern delivery across data engineering and analytics teams Engage with senior technical and non‐technical stakeholders About the Candidate The right Data Architect should have: Proven experience as a Data Architect ...

monitoring of new credit strategies and decisioning logic Maintaining strong data governance and accuracy standards Your Skills and Experience: Strong experience in BI or analytics, ideally within lending, banking, finance or a start-up environment Advanced SQL skills Experience with tools like Power BI, Tableau or Looker Clear communicator ...

support the wider data infrastructure Deliver deep-dive analysis to support leadership decision-making 🧠 Key experience & skills required: 6+ year's experience in Data Analytics/Data Science Advanced SQL skills (querying, modelling, optimisation) Experience with modern data warehouses (e.g. Snowflake, BigQuery, Redshift) Strong stakeholder management and business-facing experience ...

product, ensuring it delivers value to customers and the business. Reporting to the VP of Product and work closely with engineers, designers, analytics, marketing, and operations, building and deploying the technology that powers the future of consumer lending. Key Responsibilities Define and deliver the product vision and roadmap Collaborate cross ...

problem-solving skills across systems Nice to have Experience with Databricks or Snowflake Knowledge of industrial communication protocols Exposure to signal processing or predictive analytics Cloud certifications ...

innovative range of road vehicles, all equipped with state-of-the-art technology, for a contract opportunity. If you have a background Data Analytics and using Ticket Management systems, this could be the role for you! Responsibilities of the Technical Officer include: * Use ticket management tools to understand the service ...

role at the centre of a large-scale cyber transformation programme, helping to build and scale the data infrastructure that powers threat detection, security analytics, machine learning, and GenAI across the organisation. You’ll be leading a team of platform/data engineers whilst remaining close enough to the technology ...

private sector clients. What you’ll have the opportunity to do as a Data Engineer Designing and building reliable data pipelines to support analytics and reporting Working with streaming and batch data from multiple sources in cloud environments Collaborating with engineers, analysts and product teams to deliver scalable data solutions ...

Proven experience (3 years) in AI solution engineering, with a focus on large language models, prompt engineering, and RAG implementations. Strong skills in data analytics, MLOps practices, and API development. Knowledge of governance frameworks for AI/ML models. Python expertise for automation. Experience working with large datasets and deploying ...

global projects Skills & Experience: Experience with ERP systems (e.g. SAP, Oracle, BaaN) Advanced Excel and strong IT skills Ability to write SQL queries Data analytics knowledge Experience with reporting tools (e.g. Power BI or Tableau) EDI experience a bonus Due to the volume of applications received for positions, it will ...

tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez. • RDBMS: Knowledge of PostgreSQL is a plus. • Industry Experience: Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management. ...

data Comfortable working closely with traders or commercial teams Familiarity with cloud platforms or modern data infrastructure Interest in AI, machine learning, or advanced analytics What’s in it for you? Salary from £120,000-£140,000 + Bonus Hybrid Working Pattern Up to 33 days annual leave with ...

collaborating confidently with senior stakeholders Minimum 2:1 bachelor's degree (or equivalent) in a numerical discipline with commitment to continuous learning in analytics, data science, AI, and emerging technologies; project management skills advantageous ...

private sector clients. What you'll have the opportunity to do as a Data Engineer Designing and building reliable data pipelines to support analytics and reporting Working with streaming and batch data from multiple sources in cloud environments Collaborating with engineers, analysts and product teams to deliver scalable data solutions ...

right-to-work contractors What to expect: Contract opportunities only (inside & outside IR35 depending on client) Projects focused on AI, ML, GenAI, analytics, optimisation & automation Tier-1 investment banks, buy-side firms, and market-leading financial institutions Roles released on short notice - hence proactive engagement Interested? If this aligns with ...

transformational stage. Your new role Stakeholder engagement - you will be working closely with finance, procurement and sales supporting with financial data strategies. Reporting and analytics - develop and build out reports to support financial decision-making, data quality and presenting to senior management. Business improvements - important to stay in tune with ...

shifting priorities in a fast-paced environment Technical Skills Required Essential: Strong expertise in Python (this is the core requirement) Experience in data analytics and data manipulation Ability to work with complex, multi-source datasets Desirable: Exposure to AI tooling or applied data science techniques Experience with Snowflake Experience with ...

strong foundational understanding of architecture. You’ll be responsible for building and shaping the core data architecture suite, working closely with data architects and analytics teams to understand enterprise‐wide consumption needs and translate them into high‐quality physical data models. You’ll bring strong knowledge of both AI‐driven ...

integrations across internal and third‐party systems. Developing in‐house solutions to replace outsourced or legacy technology. Creating data pipelines that improve reporting and analytics for portfolio managers. Owning projects end‐to‐end — from gathering requirements through to deployment. What you’ll need 5–6 years’ experience as a software ...

data, and platform layers. Key Responsibilities: Lead the design and execution of end-to-end testing across a three-tier lakehouse architecture (landing, curated, analytics zones) Define and implement DBT testing strategies, including schema validation, data assertions, and freshness checks Oversee testing of AWS Glue ETL pipelines, ensuring transformation accuracy ...

controls, and financial crime risks Experience working with transaction monitoring or payment screening systems Hands-on experience in rule tuning, data analysis, or fraud analytics Proficiency in SQL or similar data querying tools for analysing large data sets Experience producing insightful reporting and MI for stakeholders Knowledge of payment flows ...

consultancy to recruit an experienced AI Engineer to work on cutting-edge Generative AI and agentic AI solutions. Our client delivers data platforms, advanced analytics and AI/Machine Learning solutions that drive tangible business outcomes. The focus is on designing, deploying and operating production-grade GenAI and agentic systems ...

Junit, Test Containers, Vitetest and StoryBook. Expertise in developing and deploying onto a Windows and Linux environment. Desirable skills: Experience with data science, analytics, and AI solutions. Knowledge of secure private/public cloud platforms, virtualisation, and containerisation. Background working within the public sector or government agencies. Join a forward ...

consultancy to recruit an experienced AI Engineer to work on cutting-edge Generative AI and agentic AI solutions. Our client delivers data platforms, advanced analytics and AI/Machine Learning solutions that drive tangible business outcomes. The focus is on designing, deploying and operating production-grade GenAI and agentic systems ...

will architect and deliver scalable cloud-based data platforms, engineer robust pipelines for structured and unstructured data, and help shape the future of advanced analytics capability. This isn't another 'move data from A to B' role You'll work across the full lifecycle: requirements capture, architecture, design, integration ...