s degree or equivalent experience in Finance, Business, Compliance, or related field Professional certifications (eg, ICA, ACAMS) are advantageous but not essential Familiarity with onboarding automation tools and data analytics for risk assessment Benefits A competitive salary benchmarked against a peer group. 25 days holiday per year + your birthday off Opportunities for progression, development and learning new skills More ❯
and scheduling constraints RPA & Automation (Batching): Familiarity with robotic process automation Log Aggregation & Analysis: Tooling for log interrogation and root cause analysis (e.g., Splunk, Dynatrace). Dashboarding: Real-time analytics dashboards for infrastructure and application health Support & Troubleshooting: Remote operations, incident response, and environment health checks. About working for us Our ambition is to be the leading UK business for More ❯
to articulate them clearly. Confident in completion and delivery of high-quality technical SEO audits and/or other technical SEO deliverables. Proficient in insight tools, such as Google Analytics 4, Google Search Console, SEMrush, Ahrefs, Screaming Frog, Lumar (or similar). Working knowledge with data visualization platforms such as Looker Studio, Microsoft's Power BI or Datorama. Additional Information More ❯
Drive a united front: Foster strong relationships with key stakeholders, communicate effectively across teams and ensure alignment on project goals and progress. Own and Measure: Always utilise data and analytics to track progress, measure the effectiveness of enablement programs and inform data-driven decisions. Key Requirements: Proven Track Record: Demonstrated success in driving revenue enablement initiatives and managing complex projects More ❯
Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the business: LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first More ❯
Drive a united front: Foster strong relationships with key stakeholders, communicate effectively across teams and ensure alignment on project goals and progress. Own and Measure: Always utilise data and analytics to track progress, measure the effectiveness of enablement programs and inform data-driven decisions. Key Requirements: Proven Track Record: Demonstrated success in driving revenue enablement initiatives and managing complex projects More ❯
of data science and machine learning techniques - including life science foundation models, generative design, uncertainty-aware decision making, and multi-modal data analysis. Responsibilities Perform data integration, mining, and analytics across chemical, biological, and multi-omics datasets to support target identification, hit discovery, and compound optimisation. Design and develop robust machine learning models. Collaborate with platform engineers to integrate ML More ❯
experience - Experience with operational parameters and troubleshooting across two or more of the following technical domains: GenAI, AI/ML, Compute, Storage, Networking, CDN, Databases, DevOps, Big Data and Analytics, Security, Applications Development in a distributed systems environment PREFERRED QUALIFICATIONS - Experience as a technical lead, internally or externally in a customer facing role - Proficiency in professional oral and written communication More ❯
Strong organizational and time management skills. Required Tools/Technology: Strong knowledge of ERP systems or SaaS platforms, and customer lifecycle management. Proficiency in data analysis tools, AI-driven analytics, and business intelligence platforms. Additional Information You will be passionate about progressing the Customer Success agenda to advance the SaaS transformation in an Enterprise Software company. You will be curious More ❯
services are consumed and integrated. Working knowledge of the multi-tenant data center marketplace and enterprise ecosystems , with a particular focus on AI applications. Understanding of broad enterprise data analytics concepts , including processes, techniques, and the underlying IT infrastructure required for AI-driven analytics. Bachelors degree in a business, technical, or financial discipline , with proficiency in MS Office products and More ❯
than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn More ❯
listed derivatives alongside a growing number of asset classes, including fixed income and cryptocurrencies. The TT platform delivers advanced tools for trade execution and order management, market data solutions, analytics, trade surveillance, risk management, and infrastructure services to the world's leading sell-side institutions, buy-side firms, and exchanges. The company's blue-chip client base includes Tier More ❯
Role: Transform are looking for an Account Executive to work within our Client Services Team supporting our work across: CRM strategy, customer journeys and personalised communications Business insights, data analytics and data science Data strategy & data management Key Responsibilities Supporting the wider Client Services Team with translating client requirements into Data and Email briefs including objectives, component tasks, timeline, costs More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Leidos
modern commercial solutions such as: Integration Platforms Manufacturing/Repairssystems, Warehouse Management Systems, Transport Management Systems, Order Management System, Inventory Management Systems Enterprise Resource Planning Systems Procurement Systems Data, Analytics and MI systems Experience in TOGAF/MODAF is desirable Experience in Archimate Experience working in a CMMI level 3 environment Clearance Requirements: BPSS Pre-screening required to start SC More ❯
Malvern, Worcestershire, United Kingdom Hybrid / WFH Options
QinetiQ Limited
Here are some things we've worked on recently that might give you a better sense of the kind of work you could be leading on: Building a data analytics tool using a Neo4J graph database. A DevOps platform to support 3000 users. Processing digital forensic data to enable search and insight generation. A search and reporting system backed by More ❯
Desirable: Any qualifications/accreditations in SAFe or other similar scaled agile framework. Desirable: Has completed training courses in User Centred Design Desirable: Any qualifications/training in Product Analytics and Business Intelligence tools. What do you get in return? 25 days annual leave rising to 30 State of the art city centre offices Access to a range of benefits More ❯
culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential. Our organisation Our Data & Analytics, Capital Markets and Post Trade divisions have a combined power that provides a comprehensive, integrated suite of trusted financial market infrastructure services to help our customers pursue their ambitions. Explore More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
WorksHub
by our subscriber base. This data is surfaced globally to our streaming client apps as well as via real time data streams that feed other platform services and our analytics capabilities. The team also supports subscription management functionality providing users the ability to upgrade/downgrade their plan or cancel, for example as well as driving the subscription lifecycle including More ❯
A strong bias for action: You're comfortable working with ambiguity and lean on your creative problem-solving skills to generate ideas and move them forward quickly. Great with analytics: You'll have strong analytical skills with the ability to analyse data, identify trends, and extract actionable insights. Big ambitions: You lead by example and will energise the team to More ❯
innovation and governance. About the Role As the Director of AI Governance and Validation, you will be a key player in our AI Enablement team within the Data and Analytics organization. This role is essential in embedding responsible AI practices across all business units, ensuring that our AI initiatives are not only innovative but also ethically sound and compliant with More ❯
to provide them with the tools and materials needed to effectively sell the product. Leverage customer feedback to enhance product messaging and improve overall customer satisfaction. Utilize data and analytics to make informed decisions and continuously optimize marketing strategies. Qualifications: 5+ years of experience in B2B product marketing, preferably in the technology sector. Strong analytical, strategic thinking, and problem-solving More ❯
Business Unit: Group Risk, Model Risk & Analytics Career Direction : Utilising our Data Role Focus: Risk and Financial Modelling Peer Group : Management & Senior Specialists (B) Salary range: £60,000 - £75,000 per annum Location: UK, Hybrid, with team meetups in one of our hubs (Glasgow/Gosforth) x2 per year Contract type : Permanent Live to inspire change. Live a life more More ❯
acquisitions) and subsequent cooperation/integrations. Process & Performance Improvement: Lead initiatives to streamline engineering workflows, reduce technical debt, and enhance time-to-market. Foster data-driven decision-making through analytics and performance dashboards. Culture & Talent Development: Promote a culture of transparency, accountability, continuous learning and improvement, and high performance. Collaborate with People/HR and engineering leadership on career pathing More ❯
acquisitions) and subsequent cooperation/integrations. Process & Performance Improvement: Lead initiatives to streamline engineering workflows, reduce technical debt, and enhance time-to-market. Foster data-driven decision-making through analytics and performance dashboards. Culture & Talent Development: Promote a culture of transparency, accountability, continuous learning and improvement, and high performance. Collaborate with People/HR and engineering leadership on career pathing More ❯
them to transform their business operations. Liaise with the client's different departments to specify how the defined action plan will be implemented: IT, CRM, marketing, commercial, operations, promotions, analytics etc. Keep at the forefront of media and loyalty market trends, proactively sharing across the Consulting team to ensure our knowledge is up to date and we can continue to More ❯