Martin Veasey Talent Solutions

Recruitment Administrator / Campaign Coordinator (Full Time or Part Time ) Location: Peopleton / Pershore / Upton Snodsbury, Worcestershire (Office-Based) Salary: Competitive / Negotiable (Dependent on Experience) Own transport essential About Us Martin Veasey Talent Solutions is a growing UK and international recruitment consultancy working with well-known global brands and fast-growing businesses. We help companies find talented graduates, managers, and senior professionals, using modern recruitment technology, marketing tools, and a highly professional, supportive team environment. We are a small, collaborative, and high-performing team, operating in a fast-paced, client-driven environment. The Opportunity We are seeking a highly organised and proactive Recruitment Administrator / Campaign Coordinator to support our consultancy team across recruitment, marketing, and administrative functions. This role can be offered on a full-time basis or part-time and is ideal for: Graduates or undergraduates (on track for a 2:1 or above) Individuals seeking experience within recruitment, HR, or professional services You will play a central role in delivering high-quality recruitment campaigns and ensuring an excellent candidate and client experience. Key Responsibilities Recruitment Administration & Coordination Manage end-to-end applicant processes using an Applicant Tracking and CRM systems Coordinate high volumes of applications, ensuring timely and professional communication Arrange interviews, meetings, and diary coordination (UK & international) Format CVs and prepare candidate submission documentation Maintain accurate records and ensure GDPR compliance Candidate & Client Engagement Act as a key point of contact for candidates throughout the recruitment process Handle incoming calls, emails, and enquiries professionally Liaise with senior-level clients, candidates, and suppliers Marketing & Campaign Support Assist in advertising roles across job boards and social media channels Support targeted recruitment campaigns and employer branding activity Prepare advertising copy, job descriptions, and campaign materials Administration & Reporting Prepare reports, briefing documents, and interview notes Maintain databases, spreadsheets, and workflow tracking Support general office administration including correspondence, filing, and data input Arrange travel and accommodation when required The Person Education Degree educated or currently studying (minimum 2:1 expected/predicted) Experience & Skills Previous administration experience (recruitment, HR, or professional services preferred) Strong IT skills including Microsoft Word, Excel, PowerPoint, and database systems Experience with CRM/ATS systems advantageous Personal Attributes Highly organised with excellent attention to detail Professional and confident communication style (written and verbal) Strong telephone manner, comfortable engaging with senior stakeholders Proactive, self-motivated, and able to use initiative Resilient, adaptable, and able to work under pressure to deadlines Strong team player with a "hands-on" approach Additional Requirements Full UK driving licence and access to a car (essential due to rural location) Within commuting distance of Peopleton / Pershore / Upton Snodsbury Non-smoker (office policy) Why Join Us Exposure to international recruitment campaigns and blue-chip clients Opportunity to develop skills in recruitment, HR, and marketing Supportive, professional, and collaborative team environment Hands-on experience with advanced recruitment technology and systems Application Process To apply, please send your CV quoting reference Recruitment Administrator - Part Time or Full Time to: For enquiries: (phone number removed) Website: (url removed)

Senior Machine Learning Data Scientist - Credit Risk 80,000- 120,000 + Bonus + Benefits (Flexibility to 150k DOE) East Midlands (Hybrid Min. 3 days) The Opportunity There are very few roles in the UK market where you can take ownership of a proven, production-grade credit risk model that is already outperforming competitors - and be given the autonomy to evolve it, refine it and directly influence commercial outcomes. This is one of them. This opportunity sits within a high-growth, data-driven financial services environment where machine learning is not theoretical or exploratory - it is embedded at the core of how the business makes decisions. At the centre of this capability is a highly accurate credit risk model, supported by rich, real-world datasets and a continuous feedback loop of internal and external lending outcomes. The model is already delivering strong predictive performance, but the real value lies in how it is developed from here. This opportunity represents a natural evolution of an already successful machine learning capability, offering the chance to take ownership of a proven model and shape its future direction. The Role This is a senior, hands-on data science role focused on credit risk modelling within a commercial lending environment. You will take ownership of the core modelling framework, working directly on probability of default models and broader decisioning logic that underpins lending strategy. The emphasis is on refinement, optimisation and continuous improvement rather than building from scratch. You will be responsible for the intellectual core of the models: Feature engineering across financial, behavioural and transactional data Algorithm selection and tuning (logistic regression, gradient boosting, ensemble methods) Model validation, performance optimisation and ongoing recalibration Ensuring models remain robust in changing economic conditions You will not be responsible for infrastructure, pipelines or deployment. A dedicated engineering team manages AWS and production environments, allowing you to focus on modelling and analytics. This is a highly visible role with direct exposure to senior stakeholders. You will be expected to explain model performance, justify modelling decisions and translate technical outputs into clear commercial insight. The Environment This is a business that understands the value of data but is still at a stage where impact is direct and visible. There is: No large data science hierarchy No separation between thinking and execution No dilution of responsibility across multiple teams You will operate as the central subject matter expert within a collaborative technical environment, with the autonomy to influence both modelling direction and commercial outcomes. Over time, there is a clear pathway to build out a team and evolve into a leadership role. However, the immediate focus is on hands-on ownership and delivery. What This Role Is Not This role will not suit individuals who: Have moved fully into leadership and no longer build models themselves Prefer purely strategic or advisory positions without technical ownership Are focused on infrastructure, MLOps or engineering rather than modelling Want a large team or established function around them from day one This is a role for someone who wants to remain close to the detail and take responsibility for outcomes. The Ideal Profile You are a hands-on machine learning data scientist with deep experience in credit risk modelling. You are currently building, refining and optimising models yourself, not delegating that work. You are likely to have developed your career within: SME lending, fintech or banking environments Credit risk, underwriting or decision science functions You will have: Strong experience building probability of default or credit scoring models Advanced Python capability Experience with algorithms such as logistic regression, XGBoost, LightGBM or similar A strong understanding of model evaluation (ROC-AUC, Gini, precision/recall) Experience working with complex financial or behavioural datasets You understand how your work impacts: Approval rates Default risk Commercial performance You are comfortable discussing modelling decisions in depth with technical stakeholders, but equally able to simplify complex concepts for non-technical audiences. Qualifications You will typically have a strong academic foundation in a quantitative discipline such as Mathematics, Statistics, Data Science, Engineering, Physics or a closely related field. Many candidates at this level will hold a Master's degree or equivalent advanced qualification, although this is not essential where there is clear evidence of deep practical expertise in credit risk modelling and machine learning. What is critical is a strong grounding in mathematical thinking, statistical modelling and problem solving, combined with the ability to apply that knowledge in a commercial environment. Why This Role Stands Out Ownership of a high-performing, production-grade credit risk model Access to rich, real-world data with continuous feedback loops Direct influence on lending decisions and commercial performance Strong engineering support, allowing full focus on modelling High visibility with senior leadership Clear pathway to future Head of AI / Machine Learning role Opportunity to shape the next phase of a proven data capability Package & Flexibility 80,000- 120,000 base salary Bonus up to 15% Flexibility to 150,000 for exceptional candidates Hybrid working (East Midlands, typically 2-3 days onsite with flexibility)

Category Manager - Engineering & Capital Projects(CAPEX) National Field-Based / Home-Based c 65,000 + Car Allowance + Bonus + Benefits A major UK industrial group is seeking an experienced Category Manager - Engineering & Capital Projects to lead end-to-end procurement across a substantial and growing portfolio of capital projects. This is a high-visibility, stakeholder-facing role partnering with engineering and project teams nationwide to ensure strong governance, commercial value, risk mitigation and compliant delivery across a complex capital investment programme. The Opportunity Capital investment is accelerating significantly, with annual CAPEX rising towards 200m and a live portfolio of over 1000 projects at any one time. This role operates within the core delivery band of projects typically valued between 0.5m and 3m, where you will take direct procurement ownership. Projects above this band are supported at Group level, but you may interface where required. Given the volume and scale of investment, success in this role requires intelligent prioritisation, pipeline ownership and the ability to embed structured processes that enable safe and compliant "self-serve" activity within the wider project community. Key Responsibilities Lead capital procurement activity for a portfolio of projects typically within the 0.5m- 3m range, prioritising effectively to maximise commercial impact. Own the sourcing lifecycle once projects reach procurement stage: tendering, negotiation, contracting, governance and delivery follow-through. Partner closely with engineering and project stakeholders nationally, maintaining visible engagement and ensuring procurement governance remains embedded. Apply structured sourcing discipline and robust commercial thinking, including risk management, payment structures, contract controls and total cost of ownership evaluation. Embed practical tools and capability within the business (e.g., contract templates, guardrails, foundational guidance) to reduce risk where direct procurement involvement is not feasible. Operate confidently in a large, complex organisation where approvals may take time; maintain resilience and momentum across multiple concurrent projects. What We Are Looking For Proven CAPEX procurement experience, with clear evidence of leading sourcing events and negotiating commercial agreements within capital projects. Strong appreciation that "specification is king" in capital environments, with the ability to challenge and shape scope before tender. Experience selecting and managing EPC, turnkey or multi-lot contracting strategies. Desirable familiarity with model-form contracts such as NEC and/or FIDIC. Strong stakeholder management capability - visible, proactive, assertive and commercially credible. Experience within heavy industry, construction materials, utilities, chemicals or large multi-site manufacturing environments is highly advantageous. Transferable CAPEX backgrounds will be considered where governance and contracting exposure is strong. This role requires drive and self-motivation. You will not be handed a weekly project list - you must build and manage your own pipeline and remain front and centre with project teams. Location & Travel This is a National Field-Based / Home-Based role. There is no expectation of daily head office attendance. Success is driven by engagement with project stakeholders across the UK, with travel ranging from Scotland to the South Coast depending on project location. Candidates should ideally be centrally located with strong motorway/rail connectivity, but flexibility exists provided national travel is acceptable. Package c 65,000 base salary Car allowance (c 7,500) or company car 15% bonus Private medical (family cover) Full blue-chip benefits package Why you should apply? The breadth of capital exposure, scale of investment and long-term career platform within a major industrial group offer significant professional development opportunity.