support the development, execution, and continuous improvement of our risk and control analytics capabilities. This role is pivotal in enhancing our understanding of technology and cyber risks through data-driven insights, supporting risk identification, assessment, and treatment activities across the enterprise. The ideal candidate will have expertise in risk and control environments, strong analytical acumen, and a solid … understanding of technology and cyber security frameworks. You will work closely with global stakeholders to ensure that risk data is accurately captured, analyzed, and reported to support informed decision-making and effective risk management. This role is based in London and follows a hybrid work model, requiring travel to the London office when needed. The Role: This role … metrics, dashboards, and reporting tools. Analyze control effectiveness and risk trends to identify emerging threats and areas for control enhancement. Provide expert guidance on the interpretation of risk data and the development of remediation strategies. Support the execution of risk assessments (both planned and ad-hoc), leveraging data insights to inform outcomes. Develop and maintain strong More ❯
European presence with a strategy geared towards locations that reflect the vision and philosophy of the Ralph Lauren brand. We are seeking a passionate and highly experienced CRM & Data Strategy Analyst to join our Data Strategy team.Reporting into Senior Data Strategy Manager, this individual will be owning analysis of end-to-end CRM and … Marketing activities, owning business as usual (BAU) CRM Reporting, supporting Senior Analysts with ad-hoc requests and data extracts, and reporting back to the business on the success of campaigns, database health and overall CRM performance. o Become a subject matter expert on all CRM journeys/campaigns and associated data landscape, which includes familiarity with … key platforms and having in-depth knowledge of data flows o Own analysis and reporting of CRM/Marketing activities o Own the set-up of BAU CRM campaigns, which includes weekly promotional emails o Build guides and document processes related to CRM journeys and platforms o Report on key marketing activities including database health, acquisitions, and campaign More ❯
teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for an Experienced CRM Data Scientist to join our team in London! Salary Range: £60.000 - £70.000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and building features that will drive our business strategies and enhance customer engagement. We are building a new real-time CRM platform … Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to More ❯
Job Title: Lead Data Scientist Overview: Lead Data Scientist - Financial Crime Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and … a sustainable world that unlocks priceless possibilities for all. Overview In the Financial Crime Solutions team at Mastercard, we build and deliver products and services powered by payments data to find and stop financial crime. We're an award winning team with a proven track record of combining data science technique with an intimate knowledge of … payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, and operating globally, we craft bespoke algorithms that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. Role As a Data Scientist, you will join More ❯
team. Clients you’ll know: Global household names. Responsibilities: Lead user-centred design from discovery to delivery. Work directly with customers, run user research & usability tests, and analyse data for insights. Craft wireframes, prototypes, and pixel-perfect UI for our complex B2B products. Collaborate with product managers & engineers to … bring your vision to life. Continuously refine designs based on analytics, feedback, and testing. Requirements UX & UI design experience for complex B2B web products. Experience with datavisualisation and storytelling from complex data. Strong skills in Adobe Creative Suite, Axure, and interactive prototyping. A portfolio showing beautiful, functional, user-focused designs. A visionary yet pragmatic approach, with More ❯
team. Clients you’ll know: Global household names. Responsibilities: Lead user-centred design from discovery to delivery. Work directly with customers, run user research & usability tests, and analyse data for insights. Craft wireframes, prototypes, and pixel-perfect UI for our complex B2B products. Collaborate with product managers & engineers to … bring your vision to life. Continuously refine designs based on analytics, feedback, and testing. Requirements UX & UI design experience for complex B2B web products. Experience with datavisualisation and storytelling from complex data. Strong skills in Adobe Creative Suite, Axure, and interactive prototyping. A portfolio showing beautiful, functional, user-focused designs. A visionary yet pragmatic approach, with More ❯
a UK-based Investment Bank and collaborate with Country Finance, Treasury, Group Liquidity Regulatory reporting, and BAU teams to understand requirements and articulate them within the Business and Data Requirements Document. Responsibilities Act as a business solution owner for the project's target state and support analysis included in relevant concept and methodology papers required for the preparation … the new solutions comply with internal procedures and external regulatory guidelines, and that project deliverables are properly understood by business stakeholders, project teams, and end-users. Analyze new data sourcing to support ETL design and development. Elicit data requirements and document data mapping specifications for Funds Transfer Pricing (FTP) computation. Analyze and resolve data quality issues. Validate all downstream data extracts. Validate that the strategic system architecture proposed by Technology aligns with business purpose and target state. Drive prioritization considering business benefits, delivery timelines, and system performance. Coordinate system interfaces, dependencies, and change releases for Treasury and Liquidity Reporting streams, ensuring alignment across centers. Plan testing, coordinate testing activities, validate More ❯
Get started with your online application. Not quite your dream role? Sign up to get notified when the right vacancy comes along. Data Science Manager About the Team At Deliveroo, we have an outstanding data science organization dedicated to enabling high-quality human and machine decision-making. Our team collaborates across product, business, and platform teams … utilizing analysis, experimentation, causal inference, and machine learning techniques. We leverage data to inform better decisions and enhance data literacy throughout Deliveroo. Our data scientists develop analytical tools, inform decision-making at all levels, run experiments, perform causal analysis, build production machine learning and optimization models, and promote data literacy. They come … from diverse backgrounds, with many formally trained in data science, but excellence is the common trait. About the Role We seek a data science manager to join our management team. The ideal candidate will: Have experience managing data scientists and guiding their career development. Possess hands-on experience as a senior-level individual contributor More ❯
domain expertise in Debt Capital Markets (DCM) and Corporate & Investment Banking to analyze and improve key business processes. Produce clear and concise specifications, user stories, process flows, and data models to support technology solutions. Act as the main liaison between business and technical teams, ensuring aligned understanding and successful delivery of solutions. Conduct data analysis and … mapping to support system integration and data migration activities. Support QA and UAT phases by reviewing test plans and ensuring business requirements are met. Contribute to change management efforts through training support and stakeholder communication. Stay updated on industry trends, regulations, and market developments impacting DCM and Corporate Banking. Requirements: 8+ years of experience as a Business Analyst … in requirements gathering, stakeholder management, and Agile delivery frameworks. Skilled in using JIRA, Confluence, and process modeling tools. Excellent communication and problem-solving skills. Familiarity with SQL and data analysis is preferred. Financial certifications (e.g., CFA, FRM) and experience with datavisualization tools like Power BI or Tableau are advantageous. Carbon60, Lorien & SRG - The Impellam Group More ❯
ensuring alignment with strategic themes and delivery milestones. Translate technical requirements for non-technical audiences and vice versa, fostering clarity and alignment across teams. Collaborate with engineering and data science teams to identify and integrate AI/ML opportunities into product features. Advocate for customer needs by leveraging data insights, market research, and user feedback to … and execute product experiments and usability tests to validate MVPs and iterate quickly. Monitor product performance using advanced metrics and analytics tools, recommending improvements as needed. Create compelling data visualizations to support decision-making and stakeholder alignment. Write detailed user stories and ensure backlog prioritization during Agile ceremonies. Foster strong relationships with stakeholders, promoting inclusivity, empathy, and cross … years of experience. Strong understanding of Agile methodologies and product development lifecycle. Familiarity with AI/ML concepts and their application in product development. Proficiency in data analysis, datavisualization, and using analytics tools to drive insights. Excellent communication and stakeholder management skills. Demonstrated ability to prioritize effectively and make sound product decisions. Experience with tools More ❯
with experience managing client, regulatory body and other stakeholder relationships. Project management experience, including budget and team oversight. Valid driving license Proficient in numerical tasks Utilise datavisualisation, analysis and manipulation technologies such as GIS. Strong English communication skills, both spoken and written All Applications will be treated in the strictest confidence. Hilson Moran is an equal More ❯
week in office (Old Street area) £50,000–£60,000 N.B. No sponsorship available THE COMPANY This high-growth research and technology scale-up powers polling, surveys, and data analysis for global brands, influential non-profits, and high-profile public sector organisations! THE ROLE As Research Manager, you can expect to be involved in the following: Deliver projects … end-to-end from questionnaire design to final presentations Lead client communications, building trusted, long-term relationships Analyse results and create compelling data visualisations Identify opportunities to expand accounts and contribute to proposals Mentor junior colleagues and … support process improvements Work with emerging AI-enabled tools and innovative methodologies YOUR SKILLS AND EXPERIENCE Experience in quantitative research Expertise in questionnaire design, analysis, and datavisualisation Strong client relationship management skills Skilled in managing multiple projects simultaneously Bonus: knowledge of R for coding/analysis and interest in AI in research BENEFITS More ❯
week in office (Old Street area) £50,000–£60,000 N.B. No sponsorship available THE COMPANY This high-growth research and technology scale-up powers polling, surveys, and data analysis for global brands, influential non-profits, and high-profile public sector organisations! THE ROLE As Research Manager, you can expect to be involved in the following: Deliver projects … end-to-end from questionnaire design to final presentations Lead client communications, building trusted, long-term relationships Analyse results and create compelling data visualisations Identify opportunities to expand accounts and contribute to proposals Mentor junior colleagues and … support process improvements Work with emerging AI-enabled tools and innovative methodologies YOUR SKILLS AND EXPERIENCE Experience in quantitative research Expertise in questionnaire design, analysis, and datavisualisation Strong client relationship management skills Skilled in managing multiple projects simultaneously Bonus: knowledge of R for coding/analysis and interest in AI in research BENEFITS More ❯
workflow tool within a six-month timeframe. This tool will capture email traffic, produce actionable work queues and dashboards, and generate ad hoc Power BI reports from Snowflake data tables. You will also integrate defect management and remediation capabilities for user owners/operators, ensuring compliance with development standards. Key Responsibilities: Workflow Tool Development: Architect and develop a … into actionable work queues and dashboards. Defect Management and Remediation: Implement a system within the workflow tool for user owners/operators to identify, track, and remediate issues. Data Integration: Design and implement integration with Snowflake data tables for generating ad hoc Power BI reports. Compliance and Standards: Ensure adherence to companies established development standards and … tool development as a Power Applications Architect or similar role. Familiarity with email traffic analysis, dashboard creation, and defect management systems. Strong expertise in Power BI, Snowflake, and data integration techniques. Experience integrating Power Platform tools with Microsoft services like Azure, Dynamics 365, and Office 365. Excellent understanding of corporate compliance and development standards. Strong problem-solving skills More ❯
we do to support customers that are struggling with their bills. We're unique because we are genuinely a hybrid of a few different skills and mindsets: 1. Data analytics is our core skillset. Everyone in the team is very strong in this area 2. We have a firm understanding of the needs of our customers and the … customers What you'll do Manage a small team of analysts Take ownership of our management of customers who are struggling with their payments Deep dive investigations into data in order to surface insight for decision making Develop our reporting suite through the latest BI tools & technology stack Develop our empathic approaches towards vulnerable customers Create strategies to … Develop our machine learning models & policies that drive sophisticated decisions Proactively identify new areas of opportunity Challenge the status quo in terms of KPIs, objectives & strategy Communicate complex data concepts effectively and confidently Build great relationships with Data Science, Technology, Finance, Collections, Ops and other stakeholders What you'll need Excellent SQL skills Python dataMore ❯
and the documentation of findings for regulatory and internal purposes. Develop a proactive threat analysis capability to identify emerging financial crime typologies and vulnerabilities across our platform, utilising data-driven techniques and open-source intelligence (OSINT). Produce high-impact intelligence reports and strategic briefings for senior leadership and the MLRO, translating complex findings into clear, actionable recommendations. … Collaborate with data analytics, and product teams to refine detection rules, improve risk models, and enhance monitoring systems based on investigative outcomes and intelligence findings. Develop and maintain a deep understanding of evolving financial crime typologies, actor tactics, and geopolitical risks relevant to the payments industry. Mentor and manage a team of financial crime intelligence analysts, fostering their … a payments company preferred. Proven experience in conducting and managing complex financial crime investigations (e.g., L3, major cases) with a demonstrable track record of successful outcomes. Experience with datavisualization tools (e.g., Tableau, Power BI, Looker) for creating impactful reports and dashboards. Solid understanding of financial crime typologies (e.g., money laundering, terrorist financing, sanctions evasion), AML/CFT More ❯
and the documentation of findings for regulatory and internal purposes. Develop a proactive threat analysis capability to identify emerging financial crime typologies and vulnerabilities across our platform, utilising data-driven techniques and open-source intelligence (OSINT). Produce high-impact intelligence reports and strategic briefings for senior leadership and the MLRO, translating complex findings into clear, actionable recommendations. … Collaborate with data analytics, and product teams to refine detection rules, improve risk models, and enhance monitoring systems based on investigative outcomes and intelligence findings. Develop and maintain a deep understanding of evolving financial crime typologies, actor tactics, and geopolitical risks relevant to the payments industry. Mentor and manage a team of financial crime intelligence analysts, fostering their … a payments company preferred. Proven experience in conducting and managing complex financial crime investigations (e.g., L3, major cases) with a demonstrable track record of successful outcomes. Experience with datavisualization tools (e.g., Tableau, Power BI, Looker) for creating impactful reports and dashboards. Solid understanding of financial crime typologies (e.g., money laundering, terrorist financing, sanctions evasion), AML/CFT More ❯
and other Global Chapter Leads (especially Product Management and Agile Chapter Lead). Low-Code/No-Code Platforms :Proficiency in Microsoft Power Platform tools: Power BI (for datavisualization), PowerApps (for app development), and Power Automate (for workflow automation).Experience with SharePoint for document management and collaboration, particularly in environments where interoperability between platforms is essential. Programming … of Python and Rust for pre- and post-processing tasks, prototyping, and interoperability with low-code solutions. Familiarity with MATLAB or Pandas/Polar for numerical computing and data analysis, particularly for processing workflows that require complex calculations. Database Management : Proficiency in SQL for database management (such as Microsoft SQL Server, MySQL, or PostgreSQL), including schema design, query … optimisation, and data manipulation. DevOps : Knowledge of Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools such as GitHub Actions, Azure Pipelines. Basic understanding of cloud computing services (Google Cloud, Azure) and containerisation for deploying and managing applications. Collaboration with the business units & Pod involvement: Act as a liaison between the Scripting & Low/No-Code More ❯
Oxford PharmaGenesis is looking for a talented and motivated Data Scientist to join our team. As a Data Scientist, you will be responsible for delivering client-ready healthcare-focused AI and data science projects. This role involves leading the technical delivery of specialist AI projects, including large language models, natural language processing, knowledge graphs … semantic data modelling and advanced analytics. You will support project scoping, technical planning and the development of innovative data solutions. You will also help to develop the capabilities and skills of other colleagues, and you will contribute to the future direction of our AI and Data Science Team. This role requires exceptional communication skills … either of our Oxford offices; however, you could also be based in one of our other UK offices (London, Cardiff or Cambridge). We are looking for a Data Scientist who has: a degree in a relevant discipline or equivalent experience (e.g. bioinformatics, computational biology, computer science). A PhD is preferred, preferably in life sciences prior experience More ❯
to delivering real-world, user-facing impact. The role includes formulating technical requirements based on business needs, experimenting with models, and implementing robust, production-ready solutions that transform data into actionable insights. ***This is Hybrid opening that only requires employees to be in office 1-2 times per month . Essential Job Functions Provide innovative solutions for problems … in commercial real estate using generative AI and other machine learning algorithms Use large language models (LLMs) to analyze various commercial real estate data sets, including large sets of financial documents and commercial real estate market data Engineer and tune LLM prompts, and perform automatic and manual evaluations of LLM outputs Apply machine learning algorithms to … find patterns in financial data sets, especially time series, related to commercial real estate Translate business problems and requirements into tasks that can be solved with generative AI, machine learning, or other algorithmic solutions Process structured and unstructured data for generative AI use cases Collaborate with engineering and product development teams Following experimentation and model selection More ❯
expand our customer base, identify opportunities to increase revenue, and ensure overall business success. You will collaborate with our IT and Commercial teams to provide actionable insights through data analysis. Key Responsibilities : Collaborate with the BI team to ensure the accuracy and suitability of data integration for analysis. Develop and manage BI reporting tools and dashboards … to support Commercial teams. Analyse Epos data to identify sales trends and opportunities. Conduct price and promotions analysis to optimise strategies. Support the creation of compelling category stories aligning with our brand strategy. Build insightful data visualisations and dashboards for KPI tracking and campaign analysis. Provide ad hoc and strategic analysis to cross-functional teams. Train … non-technical stakeholders on reporting tools and complex data insights. Support the Group Marketing Director in managing insight projects where applicable. Qualifications and Experience : Degree or equivalent. Proven experience in data analysis, preferably in sales, category or revenue management. Strong proficiency in Microsoft BI tools and datavisualization software, with proven experience in building More ❯
The financial services industry is being revolutionised by the power of AI, creating new opportunities and transforming the way businesses operate. Deloitte's AI & Data Financial Services team is at the forefront of this change, helping our clients harness the potential of AI to drive innovation and achieve their strategic objectives. As an AI Solution Designer, you'll … your opportunity Key Responsibilities: Lead client engagements to identify and define high-impact AI use cases across various business functions. Conduct feasibility assessments, develop solution architectures, and define data requirements for AI initiatives. Design end-to-end AI solutions, outlining data pipelines, model architectures, and deployment strategies. Collaborate closely with data scientists, engineers, and … Strong understanding of AI concepts, machine learning algorithms, and deep learning architectures. Familiarity with various AI solution design patterns and best practices for different business applications. Experience with datavisualization tools and techniques to communicate insights and solution designs effectively. Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Basic understanding of More ❯
Solidatus , we're changing how organisations understand their data. We're an award-winning, venture-backed software compan y. Our platform helps businesses harvest, model, and visualise complex data lineage flows. Our unique lineage-first approach, combined with active AI development, provides organisations with unparalleled clarity and robust control over their data's journey and meaning. … them, and guide them through their buying journey. You'll collaborate closely with our Sales, Product, Engineering, and Customer Success teams, and help shape the future of how data-driven organizations evaluate and adopt Solidatus . Your primary focus will be supporting our growth across Europe. What You'll Be Doing Showcase the value of Solidatus through live … through workshops, training sessions, and onboarding support as needed. What We're Looking For Required: 5+ years in a Pre-sales or Solutions Engineering role, ideally in a data-driven software environment Deep understanding of Data Management disciplines, especially Data Governance, Metadata Management, and Data Lineage Exceptional communication skills - able to connect More ❯
Front-End to join as one of our first engineers. You'll be responsible for building every surface the user interacts with, including real-time dashboards and complex data visualizations. As our front-end technical lead, you'll drive architecture decisions, own the web platform end to end, and set the standard for design-engineering excellence. This is … build, and maintain web and mobile applications using Next.js and TypeScript Lead front-end architecture across our entire product surface area Implement real-time observability dashboards and advanced data visualizations Connect UI to backend services (Clickhouse, Rust APIs, AWS) Own deployment pipelines via Vercel and AWS Set up reusable components, design systems, and internal tooling Collaborate closely with … Strong product intuition and design sensitivity Comfortable working autonomously in a fast-paced startup environment Bonus Experience with Clickhouse or other high-performance databases Background in datavisualisation or observability tooling Prior lead/front-end ownership in a startup or new product build Experience integrating with scientific tools (Nextflow, AlphaFold) or dev infra (eBPF, Terraform) Our More ❯
designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Collect, clean and preprocess large datasets to facilitate analysis and model training. … Implement data pipelines and ETL processes to ensure data availability and quality. Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. ML Ops Engineer Skills Required: Experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. … Experience in data wrangling using Python, SQL and ADF Experience in CI/CD and DevOps/MLOps and version control Familiarity with datavisualization and reporting tools, ideally PowerBI Experience in the pensions or similar regulated financial services industry Due to the volume of applications received for positions, it will not be possible to respond More ❯
