National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Insights and Intelligence Lead - Associate

144780-Payments Us
London
8 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Engineer, EU AVS/VX

Data Science Manager

Data Engineer

Senior Data Scientist

Business Data Analyst

Description Job Description We are looking for an individual with an ability and passion to think beyond raw and disparate data, who can create data visualizations and intelligence solutions that will be utilized across the Payments organization. As an Insights and Intelligence lead, you will be a part of the Client Onboarding & Service (COS) Solutions Design & Commercialization team. Our mission is to drive exceptional client experience through a relentless focus on the voice of the client and internal stakeholders while setting new benchmarks for innovation and digital adoption. And, as a data visualization expert you will be at the forefront of this effort; working with multi-disciplinary, cross functional teams to leverage the power of our data and identify the best tools to analyse data, discover actionable insights – which we can share with the business and product to enhance our products, improve processes & control to save time and streamline processes, and support the organization and out team in developing the data skills of the future. Job Responsibilities Lead intelligence solution requirements gathering sessions with varying levels of leadership, complete detailed project planning utilizing tools such as JIRA to record and manage project execution steps Develop data repositories with data wrangling and workflow tools, such as Alteryx to provide data requirements into the required format for the data visualization software Develop data visualization solutions utilizing tools like Tableau and QlikSense that provides self-service intuitive insights to our key stakeholders Conduct thorough control testing of each component of the intelligence solution providing evidence that all data and visualization are providing accurate insights and evidence in the control process Seek to understand the stakeholders use cases empowering you to anticipate stakeholders’ requirements, questions, and objections Ability to analyse large data sets, summarize findings and recommend feasible solutions and explain complex ideas and methods Become a subject matter expert in these responsibilities and support team members in becoming more proficient themselves Required qualifications, capabilities and skills Bachelor’s degree in MIS or Computer Science, Mathematics, Engineering, Statistics or other quantitative or financial subject areas Experience working with data analytics projects, preferably related to financial services domains Experience developing advanced data visualization and presentations preferably with Tableau or QlikSense Experience with business intelligence analytic and data wrangling tools such as Alteryx, SAS, or Python Experience with relational databases optimizing SQL to pull and summarize large datasets, report creation and ad-hoc analysis Experience in report development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data Preferred qualifications, capabilities and skills Strong academic background with established analytical, programming and technical skills (Certifications in Customer Relationship Management, Data Management & Business Intelligence domain is preferable) Comfortable in dynamic, fast moving and evolving environments interacting with varying levels of seniority up and down the organisation Experience with SQL, Hive, Spark SQL, Impala or other big-data query tools Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.