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SENIOR PRODUCT MANAGER \n \n Broker Insights | Fully remote or hybrid (Dundee) | £72,500 P.A. | Full-time, permanent \n \n Commercial insurance does not need more data. It needs more insight. \n \n ABOUT BROKER INSIGHTS \n \n Broker Insights is a leading provider of data analytics and market insight for the global commercial insurance industry. Our award-winning platform, Broker Insights VISION™, compiles and standardises commercial insurance market data, enabling brokers and insurers to develop a new way of working together. \n \n We launched in the US in 2023 with an offering tailored to that market. In 2026 we launched a totally re-engineered tech stack and AI Search, which will become the search engine of commercial insurance. \n \n VISION already powers over 40% of the UK market's placement decisions. We are ISO 27001 certified and ICO registered. Broker Insights Ltd is authorised and regulated by the Financial Conduct Authority. \n \n We are growing fast. This role will suit someone ambitious who takes the initiative and makes themselves a key member of the team. \n \n THE ROLE \n \n We are hiring a Senior Product Manager to own sets of problem areas and the sprints that resolve them, and to drive those areas towards long-term strategy and P&L growth. \n \n You are not being handed a market or a product line to administer. You are being handed the problems that matter most and the mandate to solve them properly. For each area you own, you set the direction, sequence the sprints that get you there, and stay accountable for the commercial result — not just the release. \n \n Your problem areas will span both the broker and the insurer side of the platform, and they will change as the business does. What stays constant is the standard: every sprint you run should be traceable to a strategic objective and to a number that matters. \n \n Our users are broker principals, market placement teams, underwriters and insurer distribution leads. They are commercially sharp, time-poor, and they will tell you exactly when something does not work. Your decisions show up in user engagement and in real commercial outcomes for our brokers and insurers. \n \n Reports to: Product Lead \n \n WHAT YOU WILL OWN \n \n The strategy and roadmap for your assigned problem areas — agreed with the Product Lead, Leadership and Exec teams, defended by you, and revisited as priorities shift. Within those areas you own the sprints end to end: what gets picked up, in what order, and what each one is expected to deliver. \n \n You are accountable for the long-term trajectory of those areas and their contribution to P&L growth, not simply for shipping the work. Problem areas are drawn from across broker and insurer products and the data foundations beneath them, so expect to get up to speed on an unfamiliar area quickly and to hand work back cleanly once it has landed. \n \n WHAT YOU WILL DO \n \n Strategy for your areas \n • Identify high-impact opportunities through data analysis, market intelligence and customer insights. \n • Own the strategy and roadmap for the problem areas assigned to you, and defend the trade-offs to the exec team, to customers and to your engineers. \n • Set a multi-quarter view for each area — where it needs to get to, and the sequence of sprints that will take it there. \n • Shape and evolve the plan honestly when priorities or evidence change, rather than defending a roadmap past its usefulness. \n • Act as a thought leader in AI, machine learning, agentic systems and analytics trends, embedding this into product direction and helping the business understand where autonomous AI creates step-change value and where human oversight is essential. \n \n Framing the problem, understanding the customer and market intelligence \n • Act as the voice of the customer internally, using qualitative and quantitative research to uncover needs and pain points. \n • Sharpen each problem before any solution is discussed. What is actually wrong, for whom, and what is it costing us? \n • Size it with real numbers — market coverage, placement volume, retention risk, cost to serve — and push back when a problem does not stand up against the alternatives. \n • Get in front of brokers and insurers regularly. Turn what you hear into evidenced problem statements, not feature requests. \n • Work hypothesis-first. State what you expect to happen, validate it against data, and design the experiment that will prove or disprove it. \n \n Running the sprints \n • Work day to day with engineering, data science and commercial as a single team. Write clear specs, define acceptance criteria, and stay close through delivery. \n • Partner with data science and engineering to spot where AI and machine learning genuinely improve the product, then design those capabilities so the output is explainable and trusted. \n • Translate data collection and processing into visualisation and actionable insight — the value lands with the user, not in the pipeline. \n • Apply a strong understanding of UX, scalability and platform performance considerations. \n • Scope to what can ship inside the sprint. Cut early and cut visibly rather than letting a sprint run long. \n • Hold a high bar on data quality and matching accuracy — in our market, a wrong match costs more than a missing feature. \n • Move confidently between broker-side and insurer-side problems, and be honest about what you do not yet know about an unfamiliar area. \n \n Landing the outcome \n • Define the success metric before the sprint starts and report against it afterwards. Adoption, not delivery, is the finish line. \n • Partner with sales, customer success and marketing on release: positioning, enablement, and a tiered rollout that suits the audience and the size of the change. \n • Hand work back cleanly — documented, instrumented, and owned by someone — so nothing you touch becomes orphaned. \n • Support key customer and insurer conversations where product credibility moves the deal. \n \n Influence \n • Set the standard for how product work is done here — discovery, written thinking, decision records, metrics. \n • Mentor and support the other product managers in the team, and raise the quality of the craft across it. \n • Manage stakeholders across data science, engineering, commercial and exec, and keep them aligned on what you are solving and why. \n • Represent product in exec-level discussions with a clear, evidenced point of view. \n \n WHAT YOU WILL BRING \n \n Essential \n • [5]+ years in product management, including [2]+ years at senior level owning strategy and roadmap for a significant area, with accountability for a commercial number. \n • Deep experience managing data products, with a strong background in AI, machine learning and analytics. \n • A track record of shipping B2B SaaS features that customers actually adopt — with numbers you can talk through. \n • Proven analytical skills and demonstrable success with data-validated, hypothesis-driven, experiment-tested decisions. \n • Evidence of working across several product areas rather than one, and getting productive in an unfamiliar domain quickly. \n • Strong data literacy. You can interrogate a dataset, write or read a query, spot a suspect number, and work fluently with data engineers and data scientists. \n • Excellent stakeholder management. You can hold a room of data scientists, engineers and commercial leads to a single agreed direction. \n • Discipline with scope. You can take a vague problem, cut it to something shippable in a sprint, and say no to the rest. \n • Excellent written communication. You think in documents, and your specs leave no room for interpretation. \n • Comfort operating with ambiguity and with senior stakeholders who disagree with each other. \n • A solutions-oriented approach, deep curiosity about customer needs, and a genuine growth mindset. \n \n Desirable \n • Commercial insurance, broking, MGA or insurtech experience, or another regulated data-heavy market such as financial services or healthcare. \n • Experience with data quality, entity matching, or data enrichment products. \n • Experience of taking AI or machine learning capabilities from concept through to a product users trust. \n • Familiarity with UK financial services regulation and its practical effect on product decisions. \n • Experience of scale-up environments where the process is something you help build. \n \n \n WHAT WE OFFER \n \n • Salary: £72,500 P.A. \n • Contract: Full-time, permanent \n • Bonus and equity: EMI Options Scheme available, and eligibility for the company bonus plan \n • Pension: 5% matched company pension contributions \n • Holiday: 34 days holiday leave, plus your birthday off \n • Sick leave: 14 days company sick leave \n • Parental leave: Up to 13 weeks at full pay \n • Protection: Death in service cover \n • Wellbeing: Holistic Employee Wellbeing Framework and a fully funded Employee Assistance Programme for you and your family \n • Working pattern: Fully remote, or hybrid from our offices in the Waters' Edge building in Dundee, with some travel to team days, on-sites and customer meetings \n \n DIVERSITY AND INCLUSION AT BROKER INSIGHTS \n \n We are passionate about diversity and believe our differences make us stronger as a team. Our inclusive culture is founded on a belief that our people will always be our biggest asset, and that a collaborative environment where everyone has a voice will always deliver the best results. \n \n We welcome the unique contributions our employees bring. Different professional and social life experiences add to our collective knowledge and help drive innovation. \n \n HIRING PROCESS \n \n 1. Introductory call with the Product Lead — 15 minutes \n 1. Product craft interview with the Product Lead — 60 minutes \n 1. Practical exercise and discussion with product, engineering and data — 30 minutes \n 1. Final conversation with Peter Scott, CEO — 30 minutes \n \n BETTER DATA | BETTER INSIGHTS | BETTER BUSINESS \n \n © 2026 Broker Insights Ltd. All rights reserved.

Principal Data & AI Consultant – Waracle is a digital technology consultancy. This Hybrid role is based at Dundee, London, or Glasgow, with around 2 days per week in office. Architecture & Vision: Designing, developing, and maintaining robust data pipelines using batch and streaming processing, championing data governance, security, privacy, and legislatory compliance. Acting as a Trusted Advisor: Translating complex business challenges into clear technical roadmaps, communicating with executive stakeholders and non-technical peers. Enabling Innovation: Designing usable data models and building reliable foundations that empower advanced analytics, LLMs, and AI/ML applications. Modernising Infrastructure: Overseeing the evolution of cloud data platforms to maximize performance, reduce latency, and optimize cloud costs across AWS, Azure, or Google Cloud. Growth & Strategy: Contributing to Waracle's technical direction, shaping new business proposals, and nurturing deep client relationships. Empowering People: Fostering an inclusive environment through collaborative leadership, resolving organisational challenges, and mentoring colleagues. Core Data Engineering Foundation: Practical experience with data modelling, ETL/ELT, and various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) and curiosity to learn others. Bridging Data & AI: Understanding how AI fits into the broader data landscape, interest in integrating LLMs and AI/MLOps into client solutions. Collaborative Leadership: Proven track record of supporting multi-squad deliveries, guiding stakeholders through architectural trade-offs, and contributing to technical proposals. Rest & Recharge: 27 days annual leave plus 8 bank holidays, totaling 35 days of holiday. Financial Future & Security: Company-matched 5% pension contribution and Death in Service benefit. Health & Wellness: Medicash Health Cash Plans, Employee Assistance Programme, and Group Sickness Cover. Flexible Working: Hybrid working championed with home office setup budget. Learning & Development: Access to Udemy Business and a dedicated learning budget. Lifestyle Perks: Cycle to Work Scheme, gym and retail discounts. Family First: Enhanced parental leave policies and fertility journey support. Community & Connection: Vibrant culture with meet-ups, lunch on us, and Spirit of Waracle charitable initiatives. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of race, gender, disability, religion/belief, sexual orientation or age. #J-18808-Ljbffr

Principal Data & AI Consultant – Waracle is a digital technology consultancy. This Hybrid role is based at Dundee, London, or Glasgow, with around 2 days per week in office. Architecture & Vision: Designing, developing, and maintaining robust data pipelines using batch and streaming processing, championing data governance, security, privacy, and legislatory compliance. Acting as a Trusted Advisor: Translating complex business challenges into clear technical roadmaps, communicating with executive stakeholders and non-technical peers. Enabling Innovation: Designing usable data models and building reliable foundations that empower advanced analytics, LLMs, and AI/ML applications. Modernising Infrastructure: Overseeing the evolution of cloud data platforms to maximize performance, reduce latency, and optimize cloud costs across AWS, Azure, or Google Cloud. Growth & Strategy: Contributing to Waracle's technical direction, shaping new business proposals, and nurturing deep client relationships. Empowering People: Fostering an inclusive environment through collaborative leadership, resolving organisational challenges, and mentoring colleagues. Core Data Engineering Foundation: Practical experience with data modelling, ETL/ELT, and various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) and curiosity to learn others. Bridging Data & AI: Understanding how AI fits into the broader data landscape, interest in integrating LLMs and AI/MLOps into client solutions. Collaborative Leadership: Proven track record of supporting multi-squad deliveries, guiding stakeholders through architectural trade-offs, and contributing to technical proposals. Rest & Recharge: 27 days annual leave plus 8 bank holidays, totaling 35 days of holiday. Financial Future & Security: Company-matched 5% pension contribution and Death in Service benefit. Health & Wellness: Medicash Health Cash Plans, Employee Assistance Programme, and Group Sickness Cover. Flexible Working: Hybrid working championed with home office setup budget. Learning & Development: Access to Udemy Business and a dedicated learning budget. Lifestyle Perks: Cycle to Work Scheme, gym and retail discounts. Family First: Enhanced parental leave policies and fertility journey support. Community & Connection: Vibrant culture with meet-ups, lunch on us, and Spirit of Waracle charitable initiatives. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of race, gender, disability, religion/belief, sexual orientation or age. #J-18808-Ljbffr

Principal Data & AI Consultant – Waracle is a digital technology consultancy. This Hybrid role is based at Dundee, London, or Glasgow, with around 2 days per week in office. Architecture & Vision: Designing, developing, and maintaining robust data pipelines using batch and streaming processing, championing data governance, security, privacy, and legislatory compliance. Acting as a Trusted Advisor: Translating complex business challenges into clear technical roadmaps, communicating with executive stakeholders and non-technical peers. Enabling Innovation: Designing usable data models and building reliable foundations that empower advanced analytics, LLMs, and AI/ML applications. Modernising Infrastructure: Overseeing the evolution of cloud data platforms to maximize performance, reduce latency, and optimize cloud costs across AWS, Azure, or Google Cloud. Growth & Strategy: Contributing to Waracle's technical direction, shaping new business proposals, and nurturing deep client relationships. Empowering People: Fostering an inclusive environment through collaborative leadership, resolving organisational challenges, and mentoring colleagues. Core Data Engineering Foundation: Practical experience with data modelling, ETL/ELT, and various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) and curiosity to learn others. Bridging Data & AI: Understanding how AI fits into the broader data landscape, interest in integrating LLMs and AI/MLOps into client solutions. Collaborative Leadership: Proven track record of supporting multi-squad deliveries, guiding stakeholders through architectural trade-offs, and contributing to technical proposals. Rest & Recharge: 27 days annual leave plus 8 bank holidays, totaling 35 days of holiday. Financial Future & Security: Company-matched 5% pension contribution and Death in Service benefit. Health & Wellness: Medicash Health Cash Plans, Employee Assistance Programme, and Group Sickness Cover. Flexible Working: Hybrid working championed with home office setup budget. Learning & Development: Access to Udemy Business and a dedicated learning budget. Lifestyle Perks: Cycle to Work Scheme, gym and retail discounts. Family First: Enhanced parental leave policies and fertility journey support. Community & Connection: Vibrant culture with meet-ups, lunch on us, and Spirit of Waracle charitable initiatives. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of race, gender, disability, religion/belief, sexual orientation or age. #J-18808-Ljbffr

Familiarity with Agile Framework and using Project Management tools such as Jira and ConfluencePreferred QualificationsExperience with Azure Data Factory, Synapse Analytics, Data Lake, or related cloud data technologies. Integrate data from multiple enterprise systems including Azure, SQL databases,

About NCR Atleos NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access.Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe.Title: SW Engineer III

Bachelor’s degree in Computer Science or related field with a focus on cybersecurity; Master’s degree is a plus. Foundational knowledge of networking technologies; experience in a cybersecurity role or function; analytics or operations experience; vulnerability and threat management expertise; f

Experience with Azure Data Factory, Synapse Analytics, Data Lake, or related cloud data technologies. Integrate data from multiple enterprise systems including Azure, SQL databases, APIs, cloud platforms, and operational systems. Develop Python-based data processing and automation solutions to inges

Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Data Analyst - £67,500 Data Analytics Analyst - £80,000 * Business Analysts - £60,000Using our experience in providin

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

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EPAM Systems in London seeks a Principal (Director) for Data Analytics & AI Consulting to lead client engagements at the C-suite level.

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EPAM Systems in London seeks a Principal (Director) for Data Analytics & AI Consulting to lead client engagements at the C-suite level.

You will own the data science and analytics capability, define strategy, promote self-serve analytics, redesign reporting, and deploy data science solutions. This senior role will unify data science and analytics into a single high-performing function and influence senior stakeholders.

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EPAM Systems in London seeks a Principal (Director) for Data Analytics & AI Consulting to lead client engagements at the C-suite level.

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EPAM Systems in London seeks a Principal (Director) for Data Analytics & AI Consulting to lead client engagements at the C-suite level.

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