Vermelo RPO

Technical Business Analyst Location: This is a hybrid role and can be based from any of our offices in Manchester, Stoke, Southport, Peterborough, Chesterfield or Tunbridge Wells. Are you a proactive and technically minded Business Analyst ready to thrive in an Agile environment? We're seeking an experienced Technical Business Analyst to join our dynamic IT development team, where innovation and collaboration drive everything we do. About the Role As part of a motivated, multi-disciplinary Agile development team, you'll play a key role in delivering high-quality software solutions aligned with business priorities, translating business needs into meaningful requirements. You'll work closely with business stakeholders, Delivery Managers, Senior Business Analysts and your development team to shape and refine user stories for both large-scale projects and smaller enhancements. Your insights will help ensure that every development delivers real value to end users. You'll also be part of a vibrant Business Analyst community, sharing best practice, championing Agile values, and promoting continuous improvement and self-organisation. Key Responsibilities Facilitate workshops to support requirements gathering and product backlog creation Apply a range of techniques to create, refine, split, and map user stories Collaborate with cross-functional teams to ensure clarity and alignment on requirements Support Agile delivery through active participation in ceremonies and sprint planning Why Join Us? Be part of a forward-thinking organisation Work in a supportive, agile culture that values your input and growth Enjoy opportunities for professional development and career progression What We're Looking For Proven experience in a Technical Business Analyst role within an Agile environment Strong facilitation and stakeholder engagement skills; Able to communicate effectively and accurately in a diplomatic manner Ability to build & maintain effective working relationships with internal and external personnel Workshop facilitation skills for requirements gathering analysis and product backlog refinement Demonstrates a variety of techniques to create, refine, split and map User Stories A collaborative mindset and a passion for continuous improvement Ability to work effectively across multiple change projects/incidents or change activities simultaneously Experience of using Jira or similar Agile delivery tools Highly self-motivated About Us Markerstudy Insurance Services Limited (MISL) is one of the largest Managing General Agents in the UK. With a strong presence in the UK motor insurance market, we specialise in niche motor cover, where our solid market knowledge and experience enables us to create highly targeted products. Our success is underpinned by our underwriting strategy to identify and apply special risk factors to the customers' advantage. That, and our skilled underwriting technicians who are friendly, accessible and empowered to make decisions. We only transact business through professional UK insurance intermediaries and we take pride in fostering excellent working relationships. Our products feature prominently on Aggregators' sites, such as Confused, Go Compare and Compare the Market, via our broker partners.

Job Title: Data Analytics Lead Location: Manchester (hybrid working) Role Overview Markerstudy Group are looking for an experienced Data Analytics Lead to help drive strategic use of data to support both Insurer Relations and Marketing teams. Sitting within the Analytics & Enrichment team, you will lead a team of analysts to deliver customer insight, selection models and performance analytics that inform decisions across our insurance brands. This role blends hands-on analytics with leadership, stakeholder engagement and innovation in Analytics and Data Science - playing a pivotal role in shaping how data drives commercial success. Key Responsibilities: Champion analytics across the business: Advocate for the value and impact of analytics, showcasing the team's capabilities to influence business outcomes. Identify opportunities for value creation: Proactively seek new ways analytics can inform strategy, improve decision-making, and deliver measurable impact. Partner with stakeholders: Collaborate with internal and external teams to understand their analytical needs and inspire with the art of the possible. Solve complex business problems: Apply creative approaches to tackle challenges and unlock insights. Manage and coach analysts: Lead by example, fostering a culture of curiosity, collaboration, and continuous improvement. Own and optimise marketing selection models: Ensure models and processes are continuously refined for maximum effectiveness. Champion data quality and governance: Uphold high standards of data integrity, compliance, and governance across all analytical initiatives. Design and enhance reporting tools: Lead the development and optimisation of reporting tools which keep an eye on key KPIs. Key Skills and Experience: Proven experience in analytics, data science, or a related field, ideally within insurance or financial services. Demonstrable leadership experience, with a track record of developing analysts. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a commercial context. Advanced SQL skills with experience with Python and/or R. Solid understanding of customer segmentation and its applications. Excellent communication and storytelling skills, with the ability to influence senior stakeholders. Strong organisational and strategic thinking capabilities. Resilience, can work independently to deliver projects Proactively share insights, results and identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience deploying and maintaining of ML models in production environments. Exposure to A/B testing and campaign optimisation techniques. Knowledge of marketing mix modelling and marketing performance metrics.

Job Title: Innovation Delivery Manager Location: Flexible (Peterborough, Sunderland, Kent, Bristol) ad hoc travel Role Overview The Innovation Engineer plays a key role within the Group's Innovation function, helping to shape and deliver the Technology Innovation and GenAI roadmap. This role blends hands-on engineering with strategic exploration, focusing on the practical application of emerging technologies - particularly Generative AI - to solve real business challenges. As part of a multidisciplinary team, the Innovation Engineer will lead the design, prototyping, and early-stage development of innovative solutions, helping to inform and influence the Group's future technology direction. Key Responsibilities: Explore and evaluate emerging technologies to identify opportunities for innovation and business impact. Design and deliver a pipeline of proofs of concept (PoCs) and early-stage projects aligned with the Innovation strategy. Act as a technical SME for our Reference Architecture, defining the evolution and optimisation of this platform Collaborate with business stakeholders, architects, data SMEs, and delivery teams to shape priorities and approaches. Build and test prototypes, ensuring they are scalable and production-ready where appropriate. Lead infrastructure and environment setup for innovation projects, including CI/CD pipelines and cloud environments. Support the development of data pipelines, processing, and storage for AI/ML workloads. Monitor and evaluate model performance, accuracy, and resource utilisation. Champion delivery best practices across the team including AI Governance, EDA alignment and SDLC compliance Contribute to the rollout of successful innovations across wider business functions and applications. Support the development of AI literacy across the Group, coaching stakeholders and co-developing new ways of working. Stay current with technology trends and GenAI developments, bringing fresh thinking and insight to the team. Drive knowledge sharing across the team including lessons learnt in PoCs, platform specialisms, and providing guidance, mentorship, and coaching to junior team members Key Skills and Experience: Proven experience in an engineering role, with a track record of delivering innovative technology solutions. Strong programming skills in Python, C#, or similar languages. Experience with CI/CD pipelines, containerisation (Docker/Kubernetes) Familiarity with cloud platforms (Azure, AWS, or GCP) Understanding of data engineering principles, including ETL, data pipelines, and database management. Working knowledge of ML/AI concepts and technologies, including model deployment and monitoring. Strong problem-solving skills and the ability to work across disciplines in a fast-paced, exploratory environment. Excellent communication and collaboration skills, with the ability to engage both technical and non-technical stakeholders. Desirable Experience working in innovation, R&D, or emerging technology teams. Passion for GenAI and a strong understanding of its potential impact on business and technology. Experience in regulated industries such as insurance or financial services. Experience with tools such as LangChain, Databricks, LLMOps, and Kubernetes. Behaviours: Team player Self-motivated with a drive to learn and develop Logical thinker with a professional and positive attitude Passion to innovate and improve processes Personality and a sense of humour

Job Title: Computer Vision Engineer About us: VisionTrack is a multiple award winning IOT, high throughout / big data insurance telematics & video solution. Role: We are looking for developers with experience in computer vision applications to join one of our agile development teams. We try to avoid silos of knowledge so the role will involve working in all areas of the solution but with more emphasis on computer vision applications deployed on our Autonomise cloud platform. We are looking for someone who can fit into this way of working, so knowledge in Agile / DevOps working practices, including SCRUM, Continuous Integration & Continuous Delivery and someone who can follow and promote best practices in these areas is essential. Essential Skills: Proficient in Python programming (2+ years' experience) Previous experience in the development and use of Convolution Neural Networks (CNN's) for machine vision and image analysis applications Previous development and fast prototyping experience in at one of following specializations of computer vision or machine learning: Object/face/ pedestrian detectin and tracking Activity Recgnition Camera Calibratin 3D stere, SLAM or Depth estimation from video Proficient in Linux Experience with Docker Experience with large-scale data sets Proficient with open source machine learning platforms such PyTorch or Keras / tensorflow. Ability to develop using rapid prototyping techniques aimed at demonstrating applications quickly in a fast moving environment. Agile / DevOps Familiarity f SCRUM Familiarity f DevOps Continuous Integration / Continuous Delivery practices. Good written and excellent spoken communication skills as well as attention to detail. Desired Skills: • MSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field. Python experience Experience shipping computer vision solutions or fast prototyping and development Strong grasp of latest cutting edge research in object detection, similarity, transfer & few-shot learning. Experience with using CNNs models in production. Experience using wide range of cameras or camera agnostic solutions. DevOps CI/CD working / best practices. Automation first approach. Git, including GitFlow & Pull Requests / Peer Reviews. Working with Geospatial data. Academic background in a scientific or technical discipline with some formal computer vision / machine learning content. Publication in Computer vision or machine learning topics

Graduate Product Test Analyst Manchester or Whitstable Monday - Friday: 9 am to 5 pm (Hybrid working) Role Purpose: You will be responsible for the scheduling and testing of product rates updates, fixes and new developments across a variety of product lines and systems. This will constitute a mix of excel based spreadsheets, ReadyAPI projects and direct software house unit testing. Key Responsibilities Working with the business to organise updates into sprints using our Service Now ticketing portal. Updating, running and maintaining excel-based testpacks. Reporting issues in an appropriate manner to be fixed. Analysing product updates for testing purposes. Writing and running new assertion based testing within ReadyAPI. Running unit based testing against Landscape or software house systems. Creating and/or refining testing processes. Working closely with underwriting, product writing and scheduling to maintain and improve the speed of delivery. Regular tasks Adding testing timescales to rates updates and developments. Returning testing queries to underwriting and product writing. Keeping track of testing volume and time spent on individual tickets. Essential Skills Excellent analytical skills. Responds well to critical feedback. Very strong attention to detail. Excellent time management and organisational skills Innovative and change embracing. Uses own initiative, can work independently or as part of a team as the need requires. Qualifications / Experience Essential - Excellent excel formula knowledge. Essential - Proven record of accomplishment in teamwork. Essential - Experience working under pressure with tight timescales. Desirable - ReadyAPI, Java or other coding experience. Desirable - Experience with software house front-end systems. Desirable - General motor and home insurance knowledge.

Job Title: Data Scientist (Modelling & Insight) Location: Manchester (hybrid working) Role Overview Markerstudy Group are looking for an experienced Data Scientist to join a fast growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities. As a Data Scientist, you will use your advanced analytical skills to directly influence insurer panel performance, ensuring our broking arm maintains a competitive edge through data-driven strategies and advanced analytics. Deliver outstanding and actionable customer insights Have responsibility for providing insights and support the building data products that helps shape Markerstudy s strategic roadmaps and customer propositions Support the delivery, maintanence and ongoing support of the Data Insight and Enrichment integration strategy across the group Work collaboratively with other areas to increase overall company performance Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market. As part of your Data Science career you will be expected to further advance a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems and adding demonstrable commercial value. Key Responsibilities: Lead the delivery of high-impact analytics and modelling projects to support strategic decision-making. Proactively identify and deliver innovative, data-led opportunities that drive measurable business impact Act as a subject matter expert in analytics and data science, providing technical guidance. Coach and mentor junior analysts, reviewing code and outputs to ensure quality and consistency. Maintain robust technical documentation and ensure compliance with data governance and regulatory standards. Support cross-functional initiatives such as the Trading Transformation Programme as a technical expert. Collaborate with stakeholders across pricing, marketing, and insurer relations to embed insights into business processes. Comply with all regulatory obligations with regards to customer data, competition law and other relevant guidance/ legislation. Key Skills and Experience: Previous demonstratable Data Science / Analytics Experience ideally within insurance or financial services. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a business context. Advanced SQL and experience with Python and/or R. Strong communication and storytelling skills, with the ability to translate complex data into actionable insights. Experience reviewing the work of junior analysts. Ability to work independently, manage multiple priorities, and proactively share insights. Selfless when it comes to sharing findings, experience and advice. We work as a team not separate individuals! Resilience, can work independently to deliver projects Proactively share insights, results and identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts, sharing expertise and fostering a culture of continuous learning and innovation.