Martin Veasey Talent Solutions
Northampton, Northamptonshire
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)
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)
Martin Veasey Talent Solutions
City, Leeds
Business Development Manager - Strategic Asset-Based Solutions into Public Sector, Infrastructure & Utilities Location: UK-Wide (Field-Based) - Midlands HQ Salary: 60,000- 70,000 base + 20% bonus target + Hybrid Company Car + Full Benefits OTE: 90,000- 110,000 realistic, with 6-figure earning potential based on performance Are you a high-calibre, graduate-level commercial professional with a track record of winning complex, multimillion-pound B2B contracts? Are you fluent in public procurement processes, Crown Commercial frameworks, or NHS and infrastructure bids-and confident engaging at C-suite, procurement, and operational level? If you're motivated by solution selling-not shifting product-and ready to lead commercial growth across the UK's most essential sectors, this opportunity offers real strategic impact. The Opportunity This is a newly created Business Development Manager role within one of the UK's leading providers of fleet and mobility solutions. Their core offering integrates mission-critical vehicle and asset-based infrastructure with a comprehensive aftermarket services platform-including maintenance, compliance, telematics, and ESG-aligned innovation. You'll be joining a high-trust, high-autonomy environment where you'll own and drive strategic business development across the public sector (NHS, local authorities, central government, defence) and private sector infrastructure buyers (utilities, retail logistics, energy, and engineering-intensive organisations). Your Responsibilities Identify, nurture, and convert opportunities into long-term asset-based service contracts Navigate complex procurement and tendering cycles (e.g., CCS RM6098, NHS SBS, public infrastructure) Build and manage tailored proposals with internal support from pricing, legal, engineering, and compliance teams Act as the commercial lead on bids from first contact through to negotiation and close Develop senior stakeholder relationships across procurement, fleet, ESG, finance, and operations Leverage your existing network and framework access to proactively generate and grow your pipeline Operate at strategic, not transactional, level - focusing on value creation and long-term partnerships What We're Looking For This role is ideal for an experienced, graduate-calibre commercial hunter with a clear track record of: Selling complex, asset-based and service-led contracts into public sector bodies (e.g., NHS Trusts, Government Agencies, Local Authorities, Utilities, Education) Demonstrating deep knowledge of public procurement processes and frameworks (e.g., CCS, LGRP, NHS SBS, YPO) Winning multi-year, high-value contracts typically worth 1m- 5m+ Operating confidently in competitive bid environments and presenting to senior cross-functional buying groups Driving new business across both public and private sector infrastructure, including utilities, logistics, transport, engineering, and capital-intensive sectors Desirable Experience Background in regulated or infrastructure sectors such as engineering, capital equipment, safety systems, industrial hardware, asset leasing, or technical services Experience selling maintenance, aftermarket service, or compliance contracts Commercial exposure to hardware + software or asset + service bundle solutions Knowledge of ESG/Net Zero strategies and how they influence procurement priorities Familiarity with CRM platforms such as Salesforce for structured pipeline and bid tracking Why Join? This is a unique chance to make your mark in a growing commercial function, working closely with a respected Commercial Director and a board committed to investment, innovation, and sustainable transport and infrastructure solutions. You'll be trusted to shape your vertical strategy, supported by internal bid and technical teams, and rewarded for the value-not just the volume-of your deals. Package & Benefits Basic salary: 60,000- 70,000 DOE Bonus: 20% target bonus + potential for tailored commission on large wins Realistic OTE: 90,000- 110,000 (uncapped earnings on high-margin deals) Vehicle: Hybrid plug-in company car (Audi, Lexus, or equivalent) Pension: 6% employer contribution (via salary sacrifice - Scottish Widows) Health: Private medical cover Holiday: 25 days + bank holidays + option to buy more Other: PerkBox, employee wellbeing and recognition platform, Great Place to Work certification How to Apply If you're an ambitious, intelligent business developer who understands public sector complexity and thrives in strategic solution sales, we'd love to hear from you. Please apply with your CV and a short summary of your relevant experience. All applications will be handled in strict confidence. Reference: LX (phone number removed)
Business Development Manager - Strategic Asset-Based Solutions into Public Sector, Infrastructure & Utilities Location: UK-Wide (Field-Based) - Midlands HQ Salary: 60,000- 70,000 base + 20% bonus target + Hybrid Company Car + Full Benefits OTE: 90,000- 110,000 realistic, with 6-figure earning potential based on performance Are you a high-calibre, graduate-level commercial professional with a track record of winning complex, multimillion-pound B2B contracts? Are you fluent in public procurement processes, Crown Commercial frameworks, or NHS and infrastructure bids-and confident engaging at C-suite, procurement, and operational level? If you're motivated by solution selling-not shifting product-and ready to lead commercial growth across the UK's most essential sectors, this opportunity offers real strategic impact. The Opportunity This is a newly created Business Development Manager role within one of the UK's leading providers of fleet and mobility solutions. Their core offering integrates mission-critical vehicle and asset-based infrastructure with a comprehensive aftermarket services platform-including maintenance, compliance, telematics, and ESG-aligned innovation. You'll be joining a high-trust, high-autonomy environment where you'll own and drive strategic business development across the public sector (NHS, local authorities, central government, defence) and private sector infrastructure buyers (utilities, retail logistics, energy, and engineering-intensive organisations). Your Responsibilities Identify, nurture, and convert opportunities into long-term asset-based service contracts Navigate complex procurement and tendering cycles (e.g., CCS RM6098, NHS SBS, public infrastructure) Build and manage tailored proposals with internal support from pricing, legal, engineering, and compliance teams Act as the commercial lead on bids from first contact through to negotiation and close Develop senior stakeholder relationships across procurement, fleet, ESG, finance, and operations Leverage your existing network and framework access to proactively generate and grow your pipeline Operate at strategic, not transactional, level - focusing on value creation and long-term partnerships What We're Looking For This role is ideal for an experienced, graduate-calibre commercial hunter with a clear track record of: Selling complex, asset-based and service-led contracts into public sector bodies (e.g., NHS Trusts, Government Agencies, Local Authorities, Utilities, Education) Demonstrating deep knowledge of public procurement processes and frameworks (e.g., CCS, LGRP, NHS SBS, YPO) Winning multi-year, high-value contracts typically worth 1m- 5m+ Operating confidently in competitive bid environments and presenting to senior cross-functional buying groups Driving new business across both public and private sector infrastructure, including utilities, logistics, transport, engineering, and capital-intensive sectors Desirable Experience Background in regulated or infrastructure sectors such as engineering, capital equipment, safety systems, industrial hardware, asset leasing, or technical services Experience selling maintenance, aftermarket service, or compliance contracts Commercial exposure to hardware + software or asset + service bundle solutions Knowledge of ESG/Net Zero strategies and how they influence procurement priorities Familiarity with CRM platforms such as Salesforce for structured pipeline and bid tracking Why Join? This is a unique chance to make your mark in a growing commercial function, working closely with a respected Commercial Director and a board committed to investment, innovation, and sustainable transport and infrastructure solutions. You'll be trusted to shape your vertical strategy, supported by internal bid and technical teams, and rewarded for the value-not just the volume-of your deals. Package & Benefits Basic salary: 60,000- 70,000 DOE Bonus: 20% target bonus + potential for tailored commission on large wins Realistic OTE: 90,000- 110,000 (uncapped earnings on high-margin deals) Vehicle: Hybrid plug-in company car (Audi, Lexus, or equivalent) Pension: 6% employer contribution (via salary sacrifice - Scottish Widows) Health: Private medical cover Holiday: 25 days + bank holidays + option to buy more Other: PerkBox, employee wellbeing and recognition platform, Great Place to Work certification How to Apply If you're an ambitious, intelligent business developer who understands public sector complexity and thrives in strategic solution sales, we'd love to hear from you. Please apply with your CV and a short summary of your relevant experience. All applications will be handled in strict confidence. Reference: LX (phone number removed)
