Vermelo RPO

Locations: North East/Edinburgh/South Coast Role Purpose: Working as part of the Commercial Team, our overall objective is to achieve operational targets in respect of Sales, Renewals and Adjustments for the relevant products, whilst providing excellent customer service. These targets will include volume of premium transactions, customer satisfaction levels, and document turnaround times. You will be an instrumental part of our team with targets including the number of customer contacts made, leads obtained, quotations provided, sales generated as well as quality levels in relation to compliance and customer service. Duties & Responsibilities: Expand the client base by proactively sourcing new business opportunities across a wide variety of Commercial products. Assessing client demands and needs, analysing risks, and recommending appropriate business area to contact Provide detailed updates on sales performance and prospecting activity, highlighting key wins and action plan for the upcoming period. Achieve and exceed all personal, team, and departmental performance targets, maintaining a focus on productivity and business growth. Ensuring that all communications with customers are accurately recorded in line with the Company's Procedures Ensure continuous professional development by participating in training, e-learns and courses and recording CPD points. Attending and contributing to meetings and team briefings. The observance of Markerstudy Business compliance procedures. Visiting new and existing customers when required to ensure professional relationships are maintained. Proactively enhancing client / partner relationships Contribute to the overall success of the Division by performing any other reasonable duties as requested by management General: The adherence to company standards for excellent customer care Embracing company values Promoting Markerstudy Business in every customer engagement and acting as an ambassador for the company Liaising, communicating and co-operating with other staff Communicate positively and effectively across the business, working collaboratively with colleagues at all levels. Essential Qualifications and Skills Recent Sales and/or Commercial Insurance experience Full Uk driving licence You have a passion for working with people, and demonstrable ability to act with empathy, dignity and respect You communicate clearly and transparently You have strong influencing and negotiation skills You're open to feedback and proactively champion change You have a passion for doing what's right and the determination to follow through You're open to positively engaging with all people and possibilities You can work independent, at times with minimal supervision Desirable Criteria Book of business and market knowledge to transfer into the Division

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.