Offres modelling à Royaume-Uni

Experience with statistical modelling, machine learning techniques, and feature engineering. Apply statistical, machine learning, and data science techniques to generate insight across risk assessment, underwriting innovation, and pricing‑adjacent use cases.

We're looking for a talented individual to join our Retail Design Team as the Lead Retail Design Manager. This is your chance to take on a pivotal role in a vibrant and fast-paced environment, where you'll be at the front of concept and design. If you're ready to make a significant impact and be part of an innovative team, this opportunity is for you! Key objectives The Lead Retail Design Manager (LRDM) will be responsible for leading the roll-out of the Retail Design Guidelines for all Westfield assets in their region, being the main point of contact for certain assets and guiding the European RDM team on other assets for creative shopfront design validation. The LRDM can easily express their ideas in 3-Dimensions and, in certain cases, will prepare creative, seductive dossiers (good high-quality 3D visuals of a potential store design) to attract brands and establish design aspirations. The LRDM will assist in managing the European RDM team in terms of prioritising work, managing URW stakeholders, and providing direction. It is expected that the SRDM will use their network and management skills to proactively find solutions to workflow issues through the use of external freelancers and will encourage the development of in-house design skills. What you will be doing… • Manage design reviews, collaborating with retailers’ design teams to ensure clear understanding of requirements and compliance with Westfield’s design guidelines, • Validate concept and detail design drawings to ensure compliance with Westfield’s design criteria and site-specific requirements, while confirming all validations are completed in a timely manner., • Assist the leasing team to attract, engage and inspire prospective new brands by developing and delivering imaginative, highly creative, visually impactful presentations that showcase the full potential of each opportunity in line with the Westfield Brand Guidelines and the aspirational Leasing strategies, • Ensure tenant fit-out designs fully comply with the latest Westfield design guidelines and high-quality standards. Collaborate with tenants to negotiate and implement compliant solutions for elements that fall outside standard guideline parameters. Develop and implement strategies to align design guidelines across the group, ensuring consistency, • Prepare and manage review meetings with the Director of Concept Studio, delivering concise project updates and ensuring all critical and impactful issues are addressed effectively., • Collaborate effectively with RPM, Leasing, Centre Management, and tenants’ design and construction teams to ensure stakeholder requirements are addressed professionally and constructively., • Provide strategic direction and top‑level oversight of the design review and compliance process, maintaining consistency, quality, and excellence across a broad portfolio of projects. Assert decisive authority throughout the review process, ensuring all Tenant concepts align with Westfield’s Retail Design Guidelines and contribute to a premium retail environment. What skills, experience, and knowledge will you need to be successful? • Highly experienced Architect, Interior Designer, or Retail Design Manager with strong creative capability in retail concept development and end-to-end Retail Design Management., • Fully skilled in SketchUp (in terms of speed, model efficiency, and escape rendering), • Ability to utilise in-house AI tools to rapidly create high-quality, creative visualisations and presentation materials that support leasing activity, combining speed and efficiency with strong creative sensibility., • Ability to self-produce design, sketch and 3D modelling in addition to coordinating production by others., • Ready to travel and be an active player in the real estate value creation process, • An open character, comfortable sharing responsibilities and passionate when sharing ideas coherently in public, • A bold approach to tasks, proactively challenging the status quo with well-thought-out solutions, • An approach to excellence in all tasks, willing to make the extra effort in doing so., • A natural team player, gaining energy from being around people, leading from the front and skilled in delegation Who are we? At Unibail-Rodamco-Westfield (URW), we develop and operate a portfolio of sustainable, premium, mixed-use real estate assets across Europe and the United States. Driven by our purpose to Reinvent Being Together, we are committed to accelerating urban regeneration and rethinking how we live together in cities. Today, 2,000 dedicated individuals are working together to reshape the future of real estate and shopping centres by creating innovative, engaging spaces that truly redefine community connections. Our flagship destinations are more than just places; they're the heartbeat of the community. We empower our employees to make a real impact through volunteering, DE&I programs, and leading ESG efforts. URW is at the forefront of experiential entertainment, constantly pushing boundaries to craft unforgettable in-person and digital experiences. By surprising and delighting our customers, we create magical moments and reinvent togetherness in every interaction. Within our Northern Europe Region - spanning the Netherlands, Denmark, Sweden, and the UK - we own and manage eight exceptional assets. These include Westfield London, Westfield Stratford City, Westfield Mall of the Netherlands and Stadshart Amstelveen. Why work for us: We put people development and learning at the heart of what we do. We'll help you master your role, build your technical skills, and take advantage of top-notch management and leadership programs. From face-to-face workshops to our global online learning resources, we encourage you to make learning a part of your daily routine. We offer a fantastic pension plan, bonus scheme, and plenty of other incentives. We also prioritise your health and wellbeing, training employees as mental health ambassadors to support and educate our team. Plus, you can sign up for medical and dental insurance, gym discounts, health check-ups, and more. Want to know more about what it's like working at URW? Visit our site: https://www.urw.com/join-us/life-at-urw. What Matters to Us: At URW, our purpose is to Reinvent Being Together, reimagining how people and communities connect, socialise, and experience dynamic moments in unique and meaningful ways. We are proud to promote equal opportunities and embrace diversity in profiles, experiences, and skills. At URW, we believe that diversity is the cornerstone of our success, and we are dedicated to fostering an environment that respects, values, celebrates, and leverages individual differences to their fullest potential. We evaluate each application with fairness and without discrimination based on disability, age, gender, origin, religion, sexual orientation, or any other legally protected characteristics. Our commitment is to provide equal access to our services for everyone. If you require any adjustments for your interview, please let us know in advance, so we can support you accordingly. As part of our commitment to maintaining a safe and trustworthy working environment, we conduct comprehensive security checks on all employees prior to their start date. These checks may include identity verification, employment history, and criminal record screening, in accordance with applicable laws and regulations. Join us and be part of a team that's making a real difference in your local communities!

Our client, a well established company in the London insurance market, seeks an experienced catastrophe modeller to lead their catastrophe modelling function within the P&C Wholesale division, supporting delegated authority and open market brokers with US account placements. Key responsibilities will include: • Delivering cat modelling analysis and presenting results to brokers, underwriters and clie... ZIPC1_UKTJ

At TLG, we’re passionate about building an exceptional team to help us bring fullness of life for every child, no matter what struggles they face. We’re excited to offer a unique opportunity for a motivated, mission-driven individual to join us as Therapeutic Hub Head of Service in Greenwich. We’re looking for a skilled and innovative individual to lead one of our pioneering Therapeutic Hubs, developed in partnership with a local church. This role sits at the front line of responding to the growing mental and emotional health needs of children, young people and families, offering high-quality therapeutic support to intervene early and prevent crisis. As Head of Service for the Hub, you will provide strong clinical leadership, delivering targeted therapeutic support for complex cases while overseeing referrals and therapeutic pathways within the Hub. You will lead and support a multidisciplinary team of volunteer counsellors, trainees and therapeutic coaches, modelling trauma‑informed, relational practice shaped by PACE values and reflective supervision. Alongside direct delivery, you will play a key role in developing the Hub’s reach and effectiveness, working collaboratively with TLG, the partner church and local referrers. Safeguarding, quality and professional excellence are central to the role, with responsibility for ensuring the hub is a safe, welcoming and effective space for children and families from diverse backgrounds to find healing and hope. Due to the pioneering nature of this role, its scope may initially feel broad, as a key focus in the Hub’s early stages will be on shaping and developing the service with the church and central TLG team. TLG has a clear and realistic understanding of time and capacity, allowing the role to grow at a manageable and sustainable pace. As the Hub becomes more established, you will have the opportunity to work collaboratively with the team to refine and focus the role in line with emerging needs and capacity. You will be supported throughout by a strong central team, working alongside you to ensure the role remains both manageable and impactful as it evolves. If you are a skilled clinician with a heart for children, families and the local church, and you’re excited to help shape an innovative model of care, we would love to hear from you. TLG is a Christian charity and, as a team, we want to bring our faith to the work we do; as such, we are recruiting an individual with a strong and vibrant Christian faith. We would welcome applications from candidates from diverse backgrounds to enable us to better reflect the needs of the communities we serve. Hours: Part-time, 2.5 days (18.75 hrs) per week (0.5 FTE) Closing Date: Thursday 18th June Initial Interviews: Tuesday 23rd June – Online Final Interviews: TBC – at Emmanuel Church London

Senior Machine Learning Engineer London, Hybrid (Twice Per Week) Up to £110,000 + 20% BonusThis is an opportunity to take ownership of end to end machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team.The Company They are a specialist, data led organisation applying advanced analytics and machine learning to solve complex commercial problems. Their work spans the full lifecycle of data products, from discovery through to deployment, with a strong focus on building robust, scalable solutions. The environment is delivery focused, technically ambitious, and designed for people who want their work to make a measurable difference.The Role You will play a key role in designing, building, and productionising machine learning solutions across a range of use cases. Working closely with data scientists, data engineers, and delivery colleagues, you will help set technical standards and ensure solutions are production ready. Key responsibilities include: • Building and deploying machine learning models into live production environments, • Designing and maintaining MLOps workflows, including model lifecycle management, • Developing APIs and containerised services to support ML products, • Implementing DevOps best practices across development and production, • Collaborating cross functionally to align data, modelling, and business requirementsYour Skills and Experience, • Strong commercial experience developing machine learning solutions in Python, • Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow, • Experience building and deploying containerised services and APIs, • Working knowledge of SQL and data driven application development, • Hands on experience with at least one major cloud platform such as AWS, GCP, or Azure, • Familiarity with MLOps tooling, workflow orchestration, or feature stores is highly beneficialWhat They Offer, • Salary up to £110,000 plus a 20% bonus, • Hybrid working with two days per week in the London office, • Exposure to varied, high impact machine learning projects, • Clear scope for technical ownership and career progression, • A collaborative culture with strong investment in data and AI capability

Solutions Architect - London Job Title: Solutions ArchitectSalary: Paying up to £85,000 per annum Location: Wembley London - 5 days on-site Are you a hands-on technical leader with a passion for creating innovative technology solutions? Our client, a well-established and diversified multinational organisation, is seeking a Solutions Architect to join their team. Skills • Experience: Solution Architecture with a clear focus on E-commerce platforms or API/Middleware ecosystems., • Technical Stack: Expert-level knowledge of Node.js, Java (Spring Boot), and PostgreSQL - able to read and critique vendor code, not just high-level diagrams., • Integration Expert: Deep proficiency in API management patterns, Webhook integrations, and Event-Driven Architecture using Kafka or Azure Event Hubs., • Legacy-to-Cloud: Demonstrable experience migrating legacy monolithic systems into containerised microservices architectures., • Tooling: Proficient in Visio or LucidChart for architectural modelling; disciplined in Confluence for documentation practices. Duties • Blueprint Delivery: Develop high-quality High-Level Designs (HLDs) and Low-Level Designs (LLDs) for DTS, EPOS, and other strategic workstreams - to a standard that external vendors are contractually required to match., • Vendor Governance: Conduct structured audits of vendor-submitted code and architecture. Enforce 'Stable-by-Design' framework, ensuring external deliverables meet internal quality, security, and scalability thresholds., • Data Integration Leadership: Orchestrate complex data mapping between legacy IBM iSeries (DB2/RPG) systems and modern API middleware - a technically demanding challenge requiring deep integration expertise., • Systemic Remediation: Lead deep-dive investigations into recurring platform failures error surges, latency anomalies, and data inconsistencies - and deliver long-term structural remediation, not tactical patches., • Technical Documentation: Maintain high-quality architecture documentation in Confluence, ensuring designs are versioned, accessible, and transferable to operational teams.

DVSA are looking for a Senior Data Architect to help shape how data is managed, governed and used across the agency. This is a varied role where you will support the delivery of DVSA's data strategy, working across data architecture, governance, standards, quality and maturity to help improve services and support better decision-making. Hybrid working with 60% office-based in your designated office in either Bristol, Birmingham, Leeds, Nottingham, Oldham, Newcastle, Swansea or Yeading. Salary up to £82,340 (base pay of £57,515 plus an additional Digital and Data Profession allowance up to £% employer pension contribution per annum and excellent Civil Service benefits. OPEN SESSION Would you like to find out more about the role, the digital team and what it's like to work at DVSA? If so, we are organising a familiarisation session where you can virtually 'meet the team' and an opportunity to ask questions on Tuesday 2 June at 12:30PM. Please follow applicaiton link to reserve your virtual seat. Highly recommend attending! About role DVSA are looking for a Senior Data Architect to join their growing Data Management team, helping to improve how data is captured, managed, governed and used across the agency. This is a varied role where you will support the delivery of DVSA's data strategy, working across areas such as data governance, data quality, data maturity, metadata management, data standards and data modelling. You will act as a point of contact for a key service area, building strong relationships with stakeholders across the business and helping teams understand the value of good data management. The role will involve working with data owners, data stewards, technical teams and wider digital colleagues to improve data processes, support better decision-making and ensure data is treated as a strategic asset. This is a good opportunity for someone who enjoys combining data expertise with stakeholder engagement. DVSA have made strong progress in building their internal data capability and there is still scope to influence how data architecture is embedded across the organisation and help shape future ways of working. Responsibilities • Define DVSA's data architecture framework, including models, standards, patterns and principles., • Develop and maintain a data catalogue, documenting data usage, requirements and flows across the agency., • Support the DVSA data strategy and roadmap, including data governance and data management artefacts., • Develop data measurement initiatives to assess data condition, identify issues and support remediation., • Work closely with EA leadership, Security Architects, Dynamics Architects, Business Architects and wider colleagues to shape data architecture and embed strong governance. Essential skills • Experience and expertise in data architecture concepts ( i.e data modelling, model management, metadata management, data governance, data standards or data requirements), • Experience translating business and service needs into clear data requirements, data flows, processes and practical architecture outputs., • Experience improving how data is managed, governed, accessed or used, including developing and embedding data systems, processes or standards., • Experience contributing to data strategy, roadmaps or associated policies, with strong stakeholder engagement skills and the ability to influence across a complex organisation. Benefits In return, you can expect a flexible working culture, including: • Salary up to £82,340 (base pay of £57,515 plus an additional Digital and Data Profession allowance up to £24,915), • Employer pension contribution of 28.97% of your salary, • 25 days annual leave, increasing by 1 day each year of service, up to a maximum of 30 days annual leave., • 8 Bank Holidays plus an additional Privilege Day to mark the King's birthday., • Access to the staff discount portal., • Excellent career development opportunities and the potential to undertake professional qualifications relevant to your role paid for by the department, such as CIPD, Prince2, apprenticeships, etc., • 24-hour Employee Assistance Programme providing free confidential help and advice for staff. Location 60% Office based from a choice of 7 locations: Birmingham, Swansea, Leeds, Newcastle-upon-Tyne, Nottingham, Oldham or Yeading (West London) Why join DVSA? DVSA's work has a direct impact on road safety across Great Britain, helping to make sure drivers, vehicles and operators meet the standards needed to keep people safe. As a Senior Data Architect, you will help improve how data is managed, governed and used across the agency, supporting better decisions and more effective services for the public. You will work across important areas such as data governance, quality, maturity, standards, modelling and the responsible use of data and AI. You're joining a growing data team at an exciting stage, with the opportunity to influence how data is treated as a strategic asset across a complex, public-facing organisation. Apply now or contact Inspire People in complete confidence.

Lead Data Scientist England£450-£480 Outside IR35RemoteThe Company They are a specialist organisation working at the forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors.The Role and Deliverables You will take ownership of end-to-end data science delivery, from problem definition through to deployment in live environments. Design, build, and deploy machine learning models within Pega-based decisioning platforms. Lead model development across feature engineering, training, validation, and ongoing performance monitoring. Work closely with application and logic developers to embed models into operational decision workflows. Develop statistical and machine learning models for personalisation, propensity scoring, and next-best-action use cases. Design and run experiments, including A/B testing, to quantify business impact. Provide technical leadership and mentoring to other data scientists, while engaging confidently with client stakeholders.Your Skills and Experience Strong experience delivering data science solutions in client-facing or consulting environments. Advanced capability in Python and or R, with hands-on use of modern machine learning libraries. Deep understanding of statistical modelling, experimentation, and model evaluation techniques. Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure. Proven ability to communicate complex technical concepts to non-technical audiences. Experience with Pega Customer Decision Hub and Adaptive Decision Manager in production environments is highly desirable. Exposure to real-time decisioning, customer engagement, or personalisation use cases is advantageous. Familiarity with MLOps practices and model monitoring frameworks is beneficial.How to Apply If you are looking for a senior data science role where you can combine technical depth with real client impact, apply now to learn more.

Senior Data Scientist - Contract £700-£850 per day | Inside IR35 | Hybrid (1 day per week London) We're looking for a Senior Data Scientist to design and deliver advanced risk and predictive models within complex, highly regulated environments. This role sits at the intersection of analytics, risk, and decision science, focusing on building models that enable organisations to identify emerging threats, quantify risk exposure, and make informed, evidence-based decisions. You'll work across large, complex, and often sensitive data sets to develop modelling frameworks that support real-world, high-impact outcomes. Key responsibilities: • Design and develop advanced risk models, including predictive, probabilistic, and scenario-based modelling approaches, • Apply data science techniques to risk scoring, anomaly detection, and threat assessment across complex datasets, • Build and deploy machine learning models into production, ensuring scalability and robustness, • Develop scenario simulations to model potential risks, behaviours, and outcomes under uncertainty, • Analyse patterns, trends, and outliers to identify emerging threats and risk indicators, • Translate business and regulatory requirements into practical analytical frameworks, • Communicate complex findings clearly to technical and non-technical stakeholdersEssential experience:, • Strong Python data science stack (pandas, NumPy, scikit-learn), • Proven delivery of complex models (predictive, probabilistic, simulation-based) in real environments, • Deep experience in risk modelling, including risk scoring frameworks, predictive risk analytics, and scenario modelling, • Experience in threat detection / anomaly detection, such as fraud, compliance, safety, or security use cases, • Strong grounding in statistics, hypothesis testing, and experimental design, • Experience working with large, complex, and messy data sets, • Experience in life sciences, healthcare, or other highly regulated sectors This is a high-impact contract for a hands-on data scientist who thrives on solving complex risk problems, building sophisticated models, and helping organisations stay ahead of emerging threats in regulated environments.

Integration Architect | £90,000 | London Hybrid | 12 Month FTCLocation: London / HybridSalary: £90,000Overview:An exciting opportunity has arisen for an experienced Integration Architect to join a global Financial Services organisation undergoing major technology transformation. This role will be responsible for shaping and governing the enterprise integration landscape, ensuring systems, applications, and data flows are scalable, secure, and aligned with business objectives.The successful candidate will work closely with technology, operations, and senior business stakeholders to design integration solutions that support complex operational environments. This is a highly visible role with significant influence across enterprise architecture and strategic technology initiatives.Role & Responsibilities: • Own and govern the end-to-end integration landscape across enterprise systems., • Design scalable integration patterns including REST APIs, event-driven messaging, SOAP, and file-based integrations., • Define API standards, data contracts, and integration governance processes., • Support the evolution of Azure Integration Services and API management tooling., • Analyse existing integrations and develop roadmaps for future-state architecture., • Translate business requirements into functional and technical specifications., • Facilitate workshops with business and technical stakeholders to gather requirements and validate solutions., • Produce impact assessments and architecture documentation for proposed system changes., • Support vendor onboarding and integration delivery across project lifecycles.Skills & ExperienceEssential:, • 7+ years’ experience in Integration Architecture, Enterprise Architecture, or Senior Systems Analysis., • Strong experience integrating enterprise platforms including Microsoft Dynamics 365, WMS, or TMS solutions., • Expertise in REST APIs, GraphQL, Azure Service Bus, Logic Apps, Event Grid, and file-based integrations., • Strong understanding of data modelling, JSON, XML, and OData., • Experience creating architecture diagrams, data flow maps, and technical documentation., • Excellent communication skills with the ability to engage both technical and non-technical stakeholders.Desirable:, • Experience with Azure Integration Services and API Management., • Familiarity with C#, Power Platform, and Azure certifications., • Knowledge of supply chain integration standards and large-scale transformation programmes.Integration Architect | £90,000 | London Hybrid | 12 Month FTC

Enterprise Architect - Divestment - Manufacturing London / Hybrid Salary - £85,000 - £95,000 plus benefits Enterprise Architect needed for a leading company based in London to be responsible for leading the IT's Design Authority, analyse the current state of the company's technology, processes, and services to identify areas of improvement and create a plan for future development. Proven experience of divestment / separation is necessary for this role. Manufacturing experience would be highly advantageous. Key Skills and Responsibilities • Significant, in-depth professional experience in relevant architecture design of business views and processes, information, applications, IT security and infrastructure, • Providing technical design leadership in large or complex projects in an industrial environment., • Experience must be acquired in a comparable enterprise architecture position and design authority, with enterprise-wide responsibilities, • Strong business analysis skills and experience, including development of business vision and strategies, functional decomposition, requirements capture, process modelling, • Proven experience in enterprise architecture blueprint development, governance and management, • Strong leadership and change management skills with practical experience of transformation in large organisations and/or in international context; ideally within the manufacturing sector, • Software Development Life-Cycle (SDLC) and Project Management Methods, • Knowledge of SAP and MS technologies Interested? Please share your CV with Claire Ingram at Harvey Nash.

Lead Product AnalystLondon - hybrid 3x a week Up to £100,000 + equity This is a high impact Lead Product Analyst role where you will shape how data drives product and customer experiences within a fast-paced, product-led technology business. With a strong focus on personalisation and experimentation, this role offers the chance to influence core commercial outcomes while working on a rapidly scaling international portfolio. The Company They are a well-established, data driven fintech operating a multi-product consumer app across lending and financial services. Known for their strong analytical culture, they have been profitable for several years and continue to grow at pace, including significant expansion into the US market. Data sits at the centre of decision making, with analytics embedded closely alongside product, engineering and growth teams. The Role You will operate as a senior individual contributor within the product analytics function, owning insight across key customer journeys and driving measurable impact. • Lead product analytics for a consumer app, focusing on personalisation and customer relevance, • Use data to determine the right product, message or experience to show each user at the right time, • Partner closely with product managers, engineers and data scientists in a cross functional, pod based environment, • Drive experimentation through robust AB testing and funnel analysis to improve conversion and engagement, • Support recommendation systems and propensity models to predict customer behaviour and purchase likelihood, • Analyse customer journeys, drop offs and lifecycle behaviour to optimise in app and push notification experiences, • Translate complex analysis into clear commercial recommendations for senior stakeholders Your Skills and Experience • Strong experience in product or growth analytics within consumer facing digital products, • Advanced SQL and strong Python skills, with Python central to day to day analysis, • Proven experience with experimentation, AB testing and causal analysis, • Exposure to propensity modelling or recommendation based use cases, • A commercial mindset with the ability to link analysis to business outcomes, • Experience working closely with product and engineering teams in agile environments, • Familiarity with complex, multi step customer journeys, ideally within apps or large scale consumer platforms What They Offer • Salary up to £100,000, • Equity participation, • Hybrid working with three days per week in the London office, • A highly visible role with real ownership and influence over product direction, • Strong opportunities for growth within a scaling analytics function How to Apply Apply now to learn more about this Lead Product Analyst opportunity and how it could fit your next career move.

Excellent opportunity for a Quantitative Analyst who is passionate about sports to join an excellent client's team based in central London. The successful Quantitative Analyst will join a very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial.This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment. Skills required: • Proficient in several of the following: Python, C#, C++, Java, • Mathematical Modelling, • Mathematical skills, particularly a keen understanding of probabilities and statistics, • Analytic mindset, • Strong communication skills, • Accuracy and attention to detail, • Experience in data science, • An interest in sports data/trading If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Senior Technical Business Analyst - FOTA | London | Hybrid | £700-£800 | 6 months (initial) We're looking for a Senior Technical Business Analyst to join a Front Office Analytics environment focused on Gas, LNG, and Power markets. Sitting between trading, quantitative modelling, data science, and engineering, this role will support the evolution of a sophisticated FOTA Analytics & Modelling platform used for forecasting, scenario analysis, and commercial decision-making across markets including TTF and JKM. You'll work closely with Quants, Analysts, and Engineers to translate complex modelling and analytical requirements into scalable technical solutions, leveraging large volumes of market, pricing, storage, flow, and weather data. Key requirements: • Experience within Gas, LNG, and Power trading environments, • Previous FOTA / analytics platform experience, • Strong Technical Business Analysis background within Agile teams, • Knowledge of forecasting, supply-demand modelling, and market fundamentals, • Exposure to Python analytics tools, • Strong stakeholder engagement and delivery skills This is an opportunity to work at the centre of trading, analytics, and technology in a highly analytical, fast-moving environment. Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Senior Data Scientist (Growth / GTM / Analytics) - Global Software Business - London Rate: £407 per day (Inside of IR35) Duration: 12 months Overview • We are looking for a commercially minded Senior Data Scientist to drive data-led growth across a global, subscription-based business., • This role focuses on identifying untapped market opportunities, improving customer targeting, and enabling data-driven go-to-market strategies., • You'll work at the intersection of Data Science, Sales, Marketing, and Strategy, translating complex data into actionable insights that directly impact revenue growth. Key Responsibilities Market Opportunity & Revenue Modelling • Develop models to quantify market opportunity (e.g. TAM/SAM) and identify whitespace across global segments, • Analyse customer and market data to uncover untapped revenue potential, • Deliver insights to support strategic planning and growth initiatives Customer & Growth Analytics • Build and deploy propensity models to improve acquisition, upsell, and retention, • Develop customer segmentation frameworks to enhance targeting and campaign effectiveness, • Partner with commercial teams to optimise go-to-market strategies and sales performance Data Science & Modelling • Design, develop, and iterate on predictive models that drive measurable business impact, • Apply statistical and machine learning techniques to large, complex datasets, • Ensure models are scalable, interpretable, and aligned with business needs Data Collaboration & Enablement • Work closely with Data Engineering teams to productionise models and analytics workflows, • Leverage internal and external datasets to build rich customer intelligence, • Contribute to best practices in data quality, governance, and model monitoring Stakeholder Engagement • Translate complex analyses into clear, actionable insights for senior stakeholders, • Present recommendations to influence commercial strategy, pricing, and product decisions, • Act as a trusted partner across technical and business teams Skills & Experience • Strong experience in data science or advanced analytics roles (typically 5+ years), • Advanced SQL skills with experience working on large-scale datasets (e.g. Databricks, Snowflake, BigQuery), • Proficiency in Python for data analysis, modelling, and experimentation, • Experience building predictive models (e.g. propensity modelling, segmentation, forecasting), • Demonstrated ability to deliver data-driven solutions that impact revenue or growth, • Strong communication skills with the ability to influence non-technical stakeholders, • Experience working cross-functionally with Sales, Marketing, Product, or Strategy teams Nice to Have • Experience in SaaS, subscription-based, or platform businesses, • Exposure to pricing strategy, go-to-market planning, or commercial analytics, • Familiarity with market sizing methodologies, • Experience integrating third-party datasets What We're Looking For • A commercially focused data scientist who prioritises business impact, • Someone comfortable working in ambiguous, fast-paced environments, • A strong communicator who can bridge data, technology, and business strategy Why Join • High-impact role with direct influence on revenue growth and strategic decisions, • Opportunity to work on complex, global data challenges, • Collaborative environment across data, product, and commercial teams Please do send across an up to date CV to *Rates depend on experience and client requirements

Senior Scientific Data Scientist / Pipeline EngineerFully remote but can be hybrid upon request.6 Month Contract likely to extendOutside IR35£450 to £500 per dayThis is a chance to work on scientifically meaningful software that directly supports real-world discovery. You will take ownership of analytical pipelines that sit at the heart of a data-driven research platform, collaborating closely with scientists to turn complex experimental data into reliable, scalable insights.The Company They are a technology-led life sciences organisation operating at the intersection of biology, automation, and data. The business builds platforms that generate high-quality experimental data at scale and uses advanced analytics to accelerate scientific discovery. With a strong emphasis on rigour, reproducibility, and collaboration, they bring together engineers and scientists to solve complex research challenges.The Role and Deliverables • Design, build, and maintain Python-based analytical pipelines for a range of experimental and bioassay data., • Implement robust statistical and modelling workflows, including quality control, normalisation, and curve fitting., • Translate scientific workflows into reproducible, automated analysis processes., • Partner closely with laboratory-based scientists to understand experimental design and data requirements., • Improve data structures and analysis readiness across the platform., • Contribute to clear documentation and well-engineered, production-ready code.Your Skills & Experience, • Strong experience using Python for scientific or analytical software development., • Proven capability analysing complex, structured experimental or assay-style datasets., • Solid understanding of statistical modelling, curve fitting, and data quality control., • Experience building end-to-end data or analysis pipelines with a focus on reproducibility., • Comfortable using version control and applying sound software engineering practices., • Able to communicate clearly with both technical and scientific stakeholders.How to ApplyIf you feel this role aligns with your skillset and would like to apply, please click the link below

Data Architect – Azure, Databricks & Snowflake Remote First (UK) | Monthly London Meetups | £100,000–£110,000 A fast-growing international fintech organisation is seeking an experienced Data Architect to lead the design and evolution of a modern cloud-native data platform. This is a senior-level opportunity to shape enterprise-wide data strategy and architecture across a highly scalable Azure and Snowflake ecosystem, supporting advanced analytics, AI/ML, business intelligence, and data-driven product innovation. You will take ownership of the organisation’s modern data architecture roadmap, designing secure, scalable, and high-performing platforms that enable analytics and engineering teams to deliver at pace. This role combines strategic architecture leadership with hands-on technical expertise across Azure, Databricks, and Snowflake technologies. Key Responsibilities • Define and maintain the enterprise data architecture strategy and roadmap, • Design scalable, secure, cloud-native data platforms using Azure and Snowflake, • Architect modern lakehouse and enterprise analytics solutions, • Lead the design of conceptual, logical, and physical data models, • Support batch, streaming, and real-time data processing capabilities, • Drive best practice across governance, metadata, lineage, and data quality, • Optimise platform performance, scalability, reliability, and cost, • Collaborate closely with engineering, analytics, architecture, and data science teams, • Provide technical leadership and architectural guidance across delivery teams, • Promote automation, CI/CD, and Infrastructure as Code practices, • Evaluate emerging technologies and contribute to long-term platform innovation Required Experience • Strong experience designing enterprise data platforms within Microsoft Azure environments, • Deep expertise with Azure Databricks, Spark (PySpark/Scala), Delta Lake, and Lakehouse architecture, • Strong hands-on experience with Snowflake architecture and optimisation, • Experience with Azure Data Factory, ADLS Gen2, Synapse Analytics, and/or Microsoft Fabric, • Excellent understanding of modern data modelling approaches including Kimball, Inmon, and Data Vault, • Strong SQL, Python, Spark, and Snowflake SQL skills, • Experience with CI/CD and Infrastructure as Code tools such as Terraform, ARM, or Bicep, • Knowledge of governance and cataloguing tools such as Microsoft Purview, • Proven ability to operate in senior technical leadership or architecture roles Desirable certifications include: • Microsoft Certified: Azure Data Engineer Associate, • Azure Solutions Architect Expert, • Databricks Certified Associate/Professional, • SnowPro Core Certification If you are passionate about modern data architecture and want to play a key role in building scalable cloud data platforms within a technology-driven organisation, we’d love to hear from you. Salary: £100,000–£110,000 Remote / London

Data Modeler£600 - £700 per dayLondon (1 day onsite) This is a high-impact freelance opportunity to shape the data foundations of a large, complex organisation as it consolidates fragmented platforms and enables self-service analytics and AI at scale. You will play a pivotal role in defining how enterprise data is structured, governed, and consumed, working at the intersection of business, engineering, and governance.The Company They are a large, asset-rich organisation operating across multiple European markets within the commercial real estate and infrastructure space. The business manages complex financial, operational, and customer data across a diverse portfolio and is investing heavily in modern data capabilities. With strong cash generation and long-term growth initiatives, data quality and modelling are central to their future strategy.The Role and Deliverables • Lead the design of enterprise logical and physical data models aligned to a single core ERP and wider business domains., • Work through a defined backlog, breaking down high-level requirements into clear modelling deliverables and standards., • Partner closely with data engineers to translate logical models into scalable physical implementations across the SQL, Databricks, and Fabric ecosystem., • Define a repeatable, "cookie-cutter" approach to data modelling that can be extended across additional business areas., • Collaborate with business analysts, governance, and data teams to establish modelling standards and best practices., • Deliver a robust, extensible data model within the first six months that supports current reporting needs and future AI enablement.Your Skills & Experience, • Strong experience designing enterprise-level logical and physical data models within complex organisations., • Ability to operate in early-stage or evolving data environments without heavy modelling tools, using pragmatic approaches., • Experience working closely with data engineers, governance teams, and business stakeholders to align models to real-world use cases., • Confident, proactive communicator who can challenge constructively, stand their ground when needed, and remain sensitive to different stakeholder perspectives., • Self-starter mindset, able to take ownership of ambiguous problems and drive them through to delivery.How to Apply Apply now to explore this contract opportunity and discuss how you could help shape a scalable, future-ready data platform.

Group FP&A Manager | £500 per day (Umbrella) | Hybrid | London | 6-months + For a large international organisation, we are recruiting an Interim Group FP&A Manager who will coordinate and produce consolidated financial plans, budgets, and forecasts. The Group FP&A Manager will contribute to planning activity and data across Finance, working closely with Regional Finance Directors to ensure consistency of all planning and forecasting. This role will report to the Director of Group Planning and Reporting and will lead, manage, and motivate a Financial Planning Analyst. This role is for a minimum of 6-months and could be extended. Main Duties: • Provide a financial planning, forecasting and management reporting service in the UK, Regions, and international business units across Group level., • Deliver monthly MI reports, • Coordination and delivery of annual budget, quarterly forecasts and monthly re-forecasts, • Support multi-year planning, • Tracking and forecasting of financial KPIs, • Support the Director of Group Planning and Reporting in preparing reports for Exec on reporting and planning deliverables, • Lead continuous improvement of processes across monthly close, financial commentary and analysis and cash-flow forecasting, • Ensure the MI and forecasts are fit-for-purpose during a period of transformation and change, • Play a key role in the implementation of a new planning and reporting tool as part of a global finance transformation programme, • Set planning and forecasting timetables for the organisation, • Work closely with the Head of Strategic Planning and coordinate with the UK and Regional finance teams to ensure alignment of all financial planning activity, • Support strategy in the collation and consolidation of 5-year planning, • Development and rollout of multi-year planning workbooks and processes, • Work closely with Shared Service Centre in India, supporting the FP&A team in-country, • Lead, manage and motivate one Financial Planning Analyst Person Specification: • Qualified Accountant with proven Group-level FP&A experience including MI reporting, • Experience managing the annual planning and reporting calendar, • Ability to build budgets, forecasts, and annual plans at Group level, • Annual planning and reporting at Group-level, • International and multi-cultural company experience, • SAP experience, financial modelling, and advanced Excel, • Shared Services experience As an employer, we are committed to ensuring the representation of people from all backgrounds regardless of their gender identity or expression, sexual orientation, race, religion, ethnicity, age, neurodiversity, disability status, or any other aspect which makes them unique. We welcome applicants from all backgrounds to apply and would encourage you to let us know if there are steps, we can take to ensure that your recruitment process enables you to present yourself in a way that makes you comfortable.

Senior Data Modeller Role Overview: We are seeking an expert Senior Data Modeller to lead our modelling strategy across complex biomedical and scientific domains. You will be responsible for translating ambiguous scientific requirements into robust canonical data models and driving schema review, approval, and publication processes. Key Details: • Experience Level: 10+ years overall (with 4+ years strong Data Modelling), • Availability: 0-1 weeks (plus 1-2 week onboarding), • Location: UKMandatory Skills & Responsibilities:, • Leadership & Strategy: Lead modelling strategy across data harmonisation, pipeline validation, knowledge graph, and FAIR data product requirements., • Requirements Translation: Translate ambiguous scientific requirements into clear canonical data models., • Ontology Management: Make ontology reuse, extension, and mapping decisions (with documented rationale), and define persistent identifiers and consistent provenance fields., • Risk Mitigation: Identify modelling risks early, including metadata gaps, ontology conflicts, source data quality issues, lineage gaps, and downstream compatibility risks., • Design & Architecture: Design modular, reusable, and future-proof models aligned to FAIR principles (findability, accessibility, interoperability, reusability) and enterprise standards., • Technical Implementation: Apply practical experience with LinkML (or equivalent), including classes, slots, ranges, identifiers, constraints, and ontology bindings., • Lifecycle Management: Manage schema lifecycles via GitHub-based repositories, semantic versioning, tagged releases, and metadata catalogues., • Stakeholder Collaboration: Partner with Scientific Knowledge Engineering, Causal Biology SMEs, Data Engineering, and Platform teams.

The Company This market-leading real estate investment business is a major player across the UK and Europe, managing a high-value portfolio of logistics and industrial assets. With a strong focus on leasing, operational efficiency, and long-term asset performance, data is at the heart of how they optimise their portfolio. As they continue to scale, they are investing heavily in modern data platforms (Databricks + Microsoft Fabric) to unlock deeper insight across leasing, asset performance, and financial reporting. The Role They are looking for a Data Modeller to play a critical role in transforming a currently fragmented and complex data landscape into a scalable, structured, and reusable data foundation. This is a highly business-facing role, ideal for someone who understands real estate or property data and can translate that into clear, structured data models. You will define and implement logical and physical data models, helping to create a standardised "cookie-cutter" modelling approach that can be reused across multiple use cases, from core financial reporting to operational leasing insights. A key part of the role will involve working with complex, legacy datasets and bringing structure and consistency, ensuring data is properly categorised (for example leasing costs and asset-level data) and usable across the business. Key Responsibilities • Design and develop conceptual, logical, and physical data models, • Create a standardised and reusable modelling framework across the business, • Translate real estate and leasing business requirements into structured data models, • Work closely with data engineers to enable scalable implementation, • Partner with stakeholders to define how data should be modelled and consumed, • Support use cases across financial reporting, leasing analysis, and asset performance, • Bring clarity and structure to legacy and complex datasets, • Contribute to building a centralised data modelling function Your Skills & Experience • Strong experience in data modelling (logical and physical), • Proven ability to work with complex or legacy datasets, • Strong SQL-based modelling experience, • Experience working in Azure environments (Databricks and Fabric preferred), • Ability to engage with both technical and business stakeholders, • Experience creating reusable, scalable data models Desirable • Background in real estate, property, or other asset-heavy industries, • Experience working with leasing data, asset management, or property portfolios, • Understanding of financial data in a real estate context Why Apply • Work with a high-profile real estate investment business, • Play a key role in shaping a modern, centralised data function, • Influence how data is structured across a large-scale asset portfolio, • Join a highly collaborative and communicative team, • Opportunity to leave a lasting impact through reusable data architecture Interview Process • 45-minute initial discussion If you're a Data Modeller with real estate experience looking to step into a role where you can genuinely shape data foundations, this is a strong opportunity to make an impact.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Analysts - £60,000, • Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. • Microsoft excel - to expert level., • Learn SQL - the programming language used for extracting data from more complex databases., • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts., • Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Cyber Security Engineer London | Hybrid (4 days onsite)About the CompanyA fast-growing, technology-led financial services business is looking for a Cyber Security Engineer to join its expanding security function.Operating within a highly regulated environment, the organisation combines the pace and innovation of a modern tech company with the complexity of enterprise-scale infrastructure. Security is a major investment area for the business, with a strong focus on cloud security, cyber resilience, automation, and intelligent threat detection.This is an opportunity to join a collaborative team where security is seen as a business enabler — not a blocker.The RoleThis is a hands-on engineering position suited to someone who enjoys solving complex security challenges across modern cloud and enterprise environments.You’ll play a key role in strengthening detection capabilities, improving visibility across systems, enhancing incident response processes, and driving automation initiatives within a mature but evolving cyber function.The role offers broad exposure across security engineering, detection engineering, cloud security, incident response, vulnerability management, and security architecture.Key Responsibilities • Design, implement, and improve security controls across cloud and enterprise infrastructure, • Enhance SIEM, SOAR, and EDR/XDR capabilities including alerting, tuning, and integrations, • Build intelligent detection and response workflows, • Develop automation solutions using scripting and AI-assisted tooling, • Lead technical investigations and incident response activities, • Improve threat visibility and reduce false positives through detection engineering, • Conduct vulnerability management and remediation initiatives, • Partner with engineering, infrastructure, and DevOps teams to embed security into operational processes and CI/CD pipelines, • Perform threat modelling, security reviews, and risk assessments, • Support compliance and audit initiatives across regulated environments, • Contribute to security standards, documentation, and operational best practices, • Monitor emerging threats and recommend improvements to security postureTechnical EnvironmentThe team works across a modern cloud-first stack with exposure to:, • SIEM / SOAR platforms, • EDR/XDR tooling, • AWS cloud environments, • Identity & Access Management, • Vulnerability Management, • Security Automation & Scripting, • CSPM tooling, • AI-assisted security operationsWhat We’re Looking For, • 5+ years’ experience within Cyber Security Engineering, Security Operations, or Detection Engineering, • Strong understanding of cloud security and modern enterprise environments, • Hands-on experience with SIEM, EDR/XDR, and incident response workflows, • Experience with scripting or automation using Python, PowerShell, or similar, • Knowledge of security frameworks such as NIST, ISO 27001, SOC 2, or CIS, • Strong problem-solving mindset with the ability to operate across multiple security domains, • Experience within regulated or financial environments is beneficial but not essentialDesirable certifications include CISSP, CCSP, CEH, or AWS Security Specialty.Why Apply?, • High-impact role within a growing cyber security team, • Strong investment in modern security tooling and automation, • Broad technical exposure across cloud, infrastructure, and security operations, • Opportunity to influence security strategy and engineering direction, • Collaborative and technically progressive environment, • Competitive package and long-term growth opportunities London-based role with hybrid working (4 days onsite / 1 day remote)Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity.

SENIOR DATA ENGINEER £90-£120K LONDON This is an opportunity to join a high-growth applied data and machine learning team focused on tangible commercial impact. You will work on varied, high-visibility projects where your work directly influences business performance and value creation. THE COMPANY Our Client is a specialist technology firm operating within the investment and private equity ecosystem. The business partners closely with leading investment firms and their portfolio companies to deliver post-deal value through data and AI. Following recent investment, they are in a strong growth phase with a clear focus on collaboration and pragmatism THE ROLE • Work within the deployment team, embedding into portfolio companies to deliver data science and machine learning initiatives., • Partner closely with C-suite and senior stakeholders to define problems that drive measurable commercial value., • Design, build and deploy machine learning solutions across use cases such as pricing, sales optimisation and fraud reduction., • Take ownership of projects end to end, from discovery and modelling through to deployment and scaling., • Balance technical sophistication with practicality, selecting the right approach to maximise impact., • Contribute to best practice across applied data science, engineering and delivery. YOUR SKILLS AND EXPERIENCE • Strong experience delivering data science or machine learning solutions in production environments., • Proven capability deploying and scaling models using appropriate engineering and MLOps practices., • Advanced Python and SQL skills, with experience working in cloud environments such as AWS, GCP or Azure., • Familiarity with modern tooling such as Databricks, version control and containerisation., • Strong commercial awareness, with the ability to articulate impact in business terms., • Confident communication skills and experience working in client-facing or stakeholder-heavy environments. SALARY AND BENEFITS • £90-£120k Base salary, • 10% bonus, • 7% Pension HOW TO APPLY Please register your interest by sending your CV to Nihal Singh through the 'Apply' link

Become part of a mission-driven digital organisation shaping national services used by millions across the UK. The Driver and Vehicle Standards Agency (DVSA) is working with Inspire People to recruit a Lead Enterprise Architect with strong enterprise architecture expertise, strategic roadmap development, governance and large-scale digital transformation capability. 60% office-based in your designated office in either Bristol, Birmingham, Leeds, Nottingham, Oldham, Newcastle, Swansea or Yeading. Salary up to £82,340 (base pay of £57,515 plus an additional Digital and Data Profession allowance up to £% employer pension contribution per annum and excellent Civil Service benefits. Shape the Future of Digital Services at DVSA. As Lead Enterprise Architect you will: • Work with business and DDaT stakeholders to deliver enterprise solutions across Business, Data, Application and Technology domains, • Support digital transformation initiatives, including shaping business cases and enterprise-level change, • Define and communicate high-level architecture designs aligned to current and future organisational needs, • Assess industry and societal trends and translate them into strategic architectural direction, • Communicate effectively across technical and non-technical stakeholder groups, mediating complex discussions, • Build support for architectural initiatives with high impact, risk and complexity, • Collaborate across teams and communities to drive continuous improvement and strong delivery outcomes, • Identify and evaluate supplier approaches, supporting commercial and procurement decisions, • Create and maintain enterprise architecture models, assets, roadmaps and repositories, • Maintain a view of current and future state architecture across defined domains (1-5 years), • Assure alignment of architecture across all domains with business goals, objectives and KPIs, • Define, maintain and promote architectural principles, standards and patterns, • Provide governance and assurance across enterprise initiatives and solutions, • Identify and manage architectural risks across teams and domains, • Lead the definition and shaping of complex problems and guide solution development, • Contribute to organisational and cross-government strategy design and implementation Essential skills for the Lead Enterprise Architect include: • Demonstrated expertise in establishing and executing enterprise architecture principles, standards, blueprints, roadmaps and patterns that drive business value, • Extensive experience delivering transformation initiatives involving cloud environments and integrated technology ecosystems, • Practical experience applying enterprise architecture frameworks (e.g. TOGAF, Zachman) in real-world transformation contexts, • Strong capability in developing strategic vision and translating complexity into clear, actionable roadmaps, • Experience delivering architecture governance and assurance, • Strong strategic thinking and planning capability, • Robust analytical skills to support evidence-based decision-making, • Strong leadership, stakeholder engagement, communication and influencing skills at senior level Desirable skills for the Lead Enterprise Architect include: • Degree in a Digital Development and Technology discipline (or equivalent experience), • Formal enterprise architecture certification (e.g. TOGAF, Zachman), • Experience with architecture modelling approaches (e.g. Archimate, UML, BPMN) In return, you can expect a flexible working culture, including: • Salary up to £82,340 (base pay of £57,515 plus an additional Digital and Data Profession allowance up to £24,915), • 28.97% employer pension contribution per annum, • Excellent Civil Service benefits, • Hybrid working with flexible arrangements, • Access to learning, development and career progression opportunities, • The opportunity to shape national digital services at scale Why Join DVSA?This is a pivotal role within DVSA's Architecture Management Office where you will lead the enablement of enterprise architecture strategy, influence senior stakeholders across government, and shape digital and business capabilities at scale, driving sustainable, secure and cost-effective technology transformation across services that impact millions of UK citizens. Apply now through Inspire People to play a leading role in shaping enterprise architecture at DVSA.

SAS Model Developer Location: London (Hybrid - 2 days onsite per week) Rate: £400/day Inside IR35 Duration: 3-month rolling contract Overview: We're looking for an experienced SAS Model Developer to support model development, enhancement, and deployment across a large-scale data and analytics environment. This role will focus on building and optimising SAS-based models, supporting the full model development lifecycle from data preparation and feature engineering through to testing, validation, and production deployment. Key Responsibilities • Design, develop, and enhance statistical, predictive, and pricing models using SAS, • Build modelling datasets, feature engineering pipelines, and variable transformations, • Develop SAS programs using: o Base SAS o SAS Macros o Data Step o SAS SQL, • Support automated model execution, scoring, and monitoring processes, • Conduct model testing, validation, back-testing, and performance analysis, • Analyse large datasets to identify trends, patterns, and business insights, • Produce technical documentation, model artefacts, and governance outputs, • Support deployment and productionisation of models within controlled environments, • Work closely with data engineering and technology teams to support implementation What We're Looking For • Strong hands-on SAS programming experience, • Experience across: o SAS Base o SAS Macros o SAS SQL o SAS Enterprise Guide / SAS Studio, • Experience developing and deploying predictive or statistical models, • Strong understanding of: Regression models , Forecasting, Segmentation , Risk or pricing models, • Experience working across the full model development lifecycle, • Strong data analysis, transformation, and feature engineering capability, • Comfortable working with large and complex datasets

Are you a Senior Data Scientist who's moved beyond traditional modelling into LLMs, GenAI, and production AI systems? I'm hiring for a Senior Data Scientist to join a high-impact AI team within a leading consumer-focused organisation. This is a hands-on, end-to-end AI role working on large, complex, unstructured problems - building real products, not proof-of-concepts. The company A well-established organisation in the consumer health / insurance space, offering products that combine financial services with incentives for healthier living (including subscription-led rewards models). Data and AI are central to how the business operates, with strong investment and leadership visibility - giving this team real ownership over innovative, business-critical solutions. Where you fit You'll sit within a specialist AI team, working alongside both classical data scientists and AI engineers. This team focuses on: • LLMs, GenAI, and agentic workflows, • Solving unstructured, complex problems, • Building AI products used across underwriting, claims, customer experience, and more Expect to work on 1-2 major projects, with high-impact, end-to-end ownership. What you'll be doing • Build and deploy LLM-based applications, including RAG systems, chatbots, and agentic workflows, • Apply traditional ML techniques (e.g. regression, classification, gradient boosting) where appropriate, • Design and deliver end-to-end AI systems from discovery to production, • Develop agentic workflows across areas like underwriting and claims, • Work closely with business stakeholders to define requirements and shape solutions, • Deploy models using modern MLOps practices (APIs, microservices, CI/CD, containers), • Collaborate with engineers, product teams, and senior stakeholders across the businessTech stack, • Python & SQL (essential), • GCP (preferred, but flexible depending on experience), • LLMs / GenAI / RAG / agentic frameworks (LangChain, LlamaIndex etc.), • MLOps tools: Git, CI/CD, Docker, Kubernetes, APIsWhat you bringCore requirements, • 5+ years in data science / machine learning, • Strong foundation in traditional ML (e.g. XGBoost, regression, statistical modelling), • Hands-on experience with LLMs / GenAI / NLP / AI systems, • Experience deploying models into production (not just experimentation), • Familiarity with MLOps, CI/CD, and containerisation, • Strong stakeholder skills - comfortable working with department heads and leading projectsNice to have, • Experience in regulated industries (insurance, finance, etc.), • Customer-focused product experience, • Strong academic background in a quantitative field, • Exposure to building agentic workflows or RAG systems in productionWhy this role, • Work on real AI products, not just experimentation, • End-to-end ownership across modelling, deployment, and impact, • Exposure to cutting-edge GenAI and agentic systems, • Highly collaborative, cross-functional environment, • Strong visibility across the businessInterview process, • 30-minute culture fit interview, • Technical interview (solution design + deployment / ML discussion), • Final interview with senior leadership (CDO)Working style, • 2 days per week in London (flexible for Midlands candidates), • Ideally Tues/Weds in office, • Cross-functional, collaborative environment with strong stakeholder interaction

Senior Engagement ManagerLondon - hybrid 2x in office a week Up to £120,000 This is a senior consulting leadership role with real influence. You will shape and deliver high impact analytics and data led consulting engagements for complex organisations, while helping to build and scale a growing advisory capability. The role combines strategic problem solving, senior stakeholder engagement and commercial ownership, offering strong visibility and long-term career progression. The Company They are a well-established data and analytics organisation with a strong reputation for supporting complex decision making across regulated industries. Their consulting arm is expanding to deliver end-to-end analytics advisory, independent of product-led solutions. The business brings together deep domain expertise, modern data capabilities, and a collaborative global delivery model. The Role • Lead end to end analytics consulting engagements, from problem definition through to measurable business impact., • Act as the primary point of contact for senior client stakeholders, building trusted advisor relationships., • Shape analytical approaches across data extraction, modelling, experimentation and insight activation., • Translate analytics into commercial outcomes across growth, risk, pricing and customer experience., • Drive commercial activity including opportunity development, proposals, scoping and account growth., • Build delivery excellence by setting standards, managing multi workstream teams and embedding best practice., • Contribute to practice growth through intellectual property, reusable assets and mentoring consultants. Your Skills and Experience • Strong commercial experience leading analytics or data consulting engagements within financial services or similarly complex environments., • Proven ability to own senior stakeholder relationships and influence decision making at executive level., • Deep understanding of how data and analytics drive business value and P&L impact., • Experience shaping and overseeing analytical solutions, working closely with technical teams., • Commercial acumen across pricing, delivery quality, margin and long term client growth., • Confident communicator with a consultative mindset and strong executive presence. What They Offer • Salary up to £120,000 plus a competitive benefits package., • Hybrid working with two days per week in the London office., • High visibility role with genuine influence over a growing consulting practice., • Clear progression opportunities into senior leadership within analytics consulting., • Access to learning, development and global collaboration with data and analytics specialists. How to Apply If you are looking for a senior analytics consulting role where you can shape strategy, lead delivery and build lasting client partnerships, apply today.

Solution Data Architect (Confluent Flink) Location: London (2 days onsite)Contract Length: 3 monthsRate: Up to £428.75 per day (Inside IR35)Clearance: Not required Overview We're working with a leading organisation within the financial services / insurance sector who are seeking an experienced Solution Data Architect to support a large-scale data transformation programme. This role will play a key part in shaping enterprise-wide data architecture, driving consistency across systems, and enabling scalable, governed data flows across core platforms. Key Responsibilities • Define and design end-to-end data flows across multiple systems, • Develop and maintain canonical and system-level data models, • Design integration mappings aligned to enterprise data architecture standards, • Collaborate with Solution Architects, Engineering teams, and Data Governance functions, • Ensure data quality, governance, and consistency across business-critical domains, • Support delivery teams with best practice data architecture guidance, • Contribute to data ownership, standards, and lifecycle management Key Skills & Experience • Proven experience as a Solution Data Architect, • Strong knowledge of:, • Data modelling, • Integration patterns, • Enterprise data architecture design, • Confluent Flink experience (highly desirable), • Experience with event-driven architectures / data streaming, • Exposure to tools such as Erwin, Power Apps, or Dataverse (desirable), • Strong stakeholder engagement skills across technical and non-technical teams, • Background in insurance or financial services preferred

Data Mapping Engineer - IBM Maximo£350/day (Inside IR35) | UK Based | Mostly Remote (Expensed Travel) We're supporting a key client on a large-scale data migration programme and are looking for a Data Mapping Engineer to play a critical role in shaping how data is translated, transformed, and integrated across complex systems. This is a fantastic opportunity for someone who enjoys working at the intersection of data, systems, and business logic-ensuring that information flows accurately and efficiently between platforms. The Role You'll be responsible for designing and delivering robust data mapping solutions, helping to bridge gaps between legacy and target systems as part of a wider transformation. Working closely with technical and functional stakeholders, you'll ensure that data structures are aligned, consistent, and fit for purpose. What You'll Be Doing • Examine and interpret source and target data models to define clear mapping requirements, • Produce and maintain detailed mapping documentation, transformation logic, and integration rules, • Work closely with architects, analysts, and SMEs to ensure consistency in data meaning and usage, • Support data migration and integration activities, ensuring accuracy and completeness, • Identify and resolve data discrepancies and mapping issues, • Maintain strong governance, including metadata documentation and traceability, • Uphold high standards of data quality, security, and compliance, • Contribute to best practices and continuous improvement across the data functionWhat We're Looking For, • Essential: Experience working with IBM Maximo Asset Management, • Proven background in data mapping, data integration, or similar roles (e.g., Technical BA, Data Analyst, Data Engineer), • Strong understanding of data structures and modelling (conceptual/logical levels), • Hands-on experience working with formats such as XML, JSON, CSV, EDI, Excel, • Excellent stakeholder engagement and communication skills, • Ability to work in a collaborative, delivery-focused environmentNice to Have, • Experience with ETL or integration tools (e.g. DataStage, Palantir), • Familiarity with mapping documentation techniques (Excel mappings, UML, BPMN), • Knowledge of XSLT or XML transformation tools, • Exposure to IBM DataStage DesignerAdditional Requirements, • Must be a UK National with at least 5 years continuous residency, • Comfortable working in a mostly remote setup, with occasional travel (fully expensed)

Senior Marketing AnalystLondon - hybrid 3x a week Up to £85,000 + equity This is a high impact Senior Marketing Analyst role sitting at the centre of growth and commercial decision making within a fast paced, product led fintech. You will take ownership of marketing analytics across a complex, multi-product environment, with a particular focus on attribution, experimentation, and driving efficient growth in a key international market. The Company They are a highly data driven fintech operating a consumer app across lending and financial products. Known for strong analytical standards and commercial focus, they have been profitable for several years and continue to scale at pace, including significant expansion into the US. Data is deeply embedded across product and growth teams, with analytics playing a critical role in shaping strategy. The Role • Partner closely with growth and marketing teams to support performance analysis and commercial decision making, • Analyse marketing spend across digital channels including paid social and search, assessing efficiency and ROI, • Own attribution analysis to understand where customer applications originate, including multi touch attribution models, • Optimise end to end customer funnels, identifying drop offs and conversion opportunities, • Analyse complex customer journeys across financial products and recommend alternative pathways for rejected users, • Build models to answer commercial questions such as incrementality, uplift and new channel effectiveness, • Apply statistical techniques to support experimentation, testing and investment decisions, • Work closely with senior stakeholders including the Head of Growth and CMO to translate insight into action Your Skills and Experience • Strong commercial marketing analytics experience within consumer technology or digital products, • Advanced SQL and Python skills, with Python central to analytical work, • Proven experience with attribution modelling and complex channel analysis, • Hands on experience with experimentation, AB testing and statistical analysis, • Ability to structure ambiguous problems and deliver clear, actionable insight, • Confident communicator with experience influencing non technical stakeholders What They Offer • Salary up to £85,000, • Equity participation, • Hybrid working with three fixed days per week in the London office, • High visibility role with clear ownership and impact, • Opportunity to work on international growth within a mature, data led organisation How to Apply To apply, please send your CV to Izzi, including your contact details and salary expectations.

Microsoft Fabric Data Engineer - P&C Insurance - 6-12 months London (1 day per week onsite) £400-£500 per day (Outside IR35) Contract We're working with a forward-thinking company supporting major insurance clients, who are looking to bring in a Microsoft Fabric Data Engineer to help deliver modern data and analytics solutions across the P&C domain. This is a great opportunity to work at the cutting edge of Microsoft's data ecosystem, helping insurers unlock value from complex datasets across underwriting, claims, and portfolio performance. The Role You'll play a key role in designing and building scalable data platforms within Microsoft Fabric, taking ownership from ingestion through to insight delivery. Working closely with technical and business stakeholders, you'll help shape solutions that drive smarter decision-making across the insurance lifecycle. Key responsibilities will include: • Delivering end-to-end data solutions within Microsoft Fabric, from ingestion through to reporting and visualisation, • Building and optimising data pipelines using Fabric tools (Data Factory, Dataflows Gen2, Notebooks/Spark), • Developing robust lakehouse and warehouse architectures within OneLake, • Creating Power BI datasets and dashboards to support core insurance use cases, • Integrating Fabric platforms with policy, claims, and other core insurance systems, • Applying best practices around data modelling, performance optimisation, and governance, • Ensuring compliance with regulatory and data privacy standards, • Supporting the use of AI and advanced analytics within the Fabric ecosystemWhat We're Looking For, • Proven experience in data engineering or analytics development (circa 4+ years), • Hands-on expertise with Microsoft Fabric or closely related technologies (Synapse, ADF, Power BI Premium), • Strong Python or PySpark skills for large-scale data processing, • Solid SQL/T-SQL capabilities and experience working with data warehouses, • Good understanding of P&C insurance data (e.g. policy, claims, exposure, premiums), • Experience building Power BI models and dashboards (including DAX), • Knowledge of modern data architecture approaches, particularly lakehouse patterns, • Familiarity with DevOps and CI/CD practices in a data environment, • Understanding of data governance and regulatory frameworks within financial services Desirable: Microsoft certifications such as DP-600 or PL-300

Azure and On-prem Infrastructure Architect London, City | Hybrid Competitive base with bonus and excellent Benefits Azure and On-prem Infrastructure Architect is sought by prestigious and leading city based global financial services organisation. This is a unique opportunity to play a key role in shaping and evolving the hybrid on-prem/Azure environment. This role focuses on platform architecture rather than application design. You will help define and implement the core Azure infrastructure foundations that support enterprise workloads across the organisation. The position involves designing secure, scalable and well-governed cloud environments across hybrid infrastructure, working closely with engineering, security and DevOps teams to ensure architecture is delivered in practice. Key responsibilities: • Designing Azure Landing Zones and platform architecture, • Defining Azure networking architecture (hub-spoke, segmentation, private connectivity), • Designing hybrid connectivity between on-premises environments and Azure, • Develop comprehensive cloud and infrastructure solutions, including hybrid and multi-cloud environments, in line with organisational goals., • Lead the deployment and configuration of infrastructure platforms (eg, Azure, VMware, Cisco), ensuring seamless integration with existing systems., • Monitor and analyse infrastructure performance, recommending improvements and proactively resolving issues., • Optimise resource utilisation to control costs, including budgeting, forecasting, and vendor management., • Work closely with the DevOps, security, and operations teams to support deployments and ongoing infrastructure projects., • Evaluate emerging technologies, driving adoption where beneficial to the organisation. Key requirements: • Significant experience designing distributed enterprise Cloud Native systems in hybrid environments., • Both Cloud (Azure) and currently on-prem experience, • VMWare, Cisco, Asure, • Expertise in Azure IaaS and PaaS services, and virtualisation technologies., • Strong understanding of networking, storage, security, and disaster recovery., • Proven track record in using Infrastructure as Code (IaC) tools such as Ansible and Terraform, • Experience with Configuration as Code, Policy as Code and Architecture as Code., • Proven ability in strategic planning and cloud transformation initiatives., • Desirable: Diagrams as code, ie C4 Modelling and Structurizr, Mermaid, Plantuml,, • Desirable: Threat Modelling and Secure by design principles., • Desirable: Understanding of ZTNA. This opportunity offers the chance to influence the design and evolution of large-scale Azure infrastructure platforms within a prestigious, global organisation.

Job Title: Solutions Architect / Software Engineer Salary: £80,000 - £103,000 DOE + Benefits + Hybrid Working Location: London We are currently looking for Solution Architects to join our clients collaborative team, driving business transformations through strategic insights to enable lasting change through pragmatic use of technology. Contribute to innovation and a mission for a more positive human future in a tech-driven world. Work with clients to design and deliver their most complex business and technical solutions. Working through the full delivery lifecycle, our Solution Architects bring a hands-on, delivery focus across all domains and leading technologies to our clients. Qualifications As a Solution Architect and technology leader in our Clients Digital & Data team, you will: • Work directly with client colleagues to define robust technology solutions based upon our clients’ needs. Sometimes you’ll even need to help clients understand what those needs are as they start their digital transformation journey. Many clients are FTSE 100 companies, large government departments or critical national infrastructure providers and you can expect to get involved in projects that have genuine impact from day 1., • Own, create and assure key architecture artefacts such as: Key Design Decision, Technical Options Paper, High Level Design, Low Level Design, Reference Architecture and Roadmap. To do this, you’ll need to deploy a range of consulting and stakeholder management skills to inform, engage and influence colleagues and decision makers from across our client’s businesses., • Support client’s senior leaders to help shape their case for change, typically leading on cost estimation and supporting creation of detailed planning and benefits realisation for the technology solutions you design., • Work closely with Engineering teams, often taking a lead SME role helping to define the vision, establish Architectural Guardrails, Architecture Runways and Detailed Designs as well as unblocking the team as issues arise. Whilst operating as a Solution Architect, you will likely come from a hands-on Software Engineering background with experience leading engineering teams to deliver applications and services, enabling you to quickly build credibility., • Rapidly understand and effectively communicate complex technical ideas to board-level business leaders and their teams. You’ll use your technical writing and presentation skills to do this supported by productivity tools such as: PowerPoint, Word, Visio, • Be confident using your architecture skills and experience across the full range of architectural domains, with a specialism in at least one: Business, Data, Application, Technology and Security, • Bring to bear a clear understanding and practical application of architecture and delivery methodologies such as: TOGAF, Zachmann, MODAF or SAFe, • Use your understanding and application of architecture modelling tools and frameworks to communicate your ideas: UML, ArchiMate, Ardoq, and others., • Design and deliver architecture solutions within governance and target operating models, using a range of ways of working and delivery methodologies: Waterfall, SAFe, Scrum, Kanban, • Commit yourself to continuous improvement and professional development. Certifications in appropriate methodologies and cloud technologies are advantageous: AWS, Azure, GCP, TOGAF, SAFe, • Thrive in a trust-based, inclusive environment that values excellence, innovation and curiosity. To support you, our client will provide a number of career accelerators including training opportunities – both business and technical, focused mentoring and the variety of engagements needed to really invest in your consulting skills and take your work to the next level! You are required to be able to work in the UK full time without restriction and be eligible for SC Clearance. If you feel you have the relevant skills and experience required for this role, then please apply to Evolve Recruitment, Kingston upon Thames for more information. Due to the high volume of applications we receive it is not always possible to respond to unsuccessful applicants. Therefore, if we have not responded to your application within five days please assume that on this occasion your application has not been successful.

Your new companyThis role is working for Hays, a FTSE 250 recruitment leader with a global footprint, combining decades of expertise with a bold technology strategy focused on modernisation, digitalisation and innovation to power progress through people and market-leading tech. With deep specialism across STEM and digital domains, Hays leverages data-driven insight and a worldwide tech talent network to help organisations secure the skills they need today and for the future. Backed by significant investment in its technology transformation and strategic partnerships, Hays is shaping the future of tech recruitment and supporting businesses as they build tomorrow's workforce.Your new roleThe Demand & Capacity Manager ensures that Technology Operations has the resources, capacity, and performance headroom needed to deliver stable, predictable, and scalable services globally. The role is responsible for forecasting demand, analysing consumption trends, modelling capacity needs, and identifying risks related to saturation, seasonal patterns, and strategic growth. This includes coordinating with Finance, PMO, Service Performance Management, Engineering teams, and vendors to ensure that demand is understood, capacity is planned, and costs are optimised across infrastructure, platforms, cloud, and global operations. Core Responsibilities: • Own the global demand and capacity management framework across infrastructure, cloud, platforms, and operational delivery services., • Develop and maintain capacity models incorporating historic trends, business forecasts, and technology growth patterns., • Forecast demand for infrastructure resources, cloud consumption, platform usage, licensing, storage, workloads, and workforce/operational capacity., • Identify saturation risks, constraints, seasonal spikes, and capacity-related service vulnerabilities., • Provide capacity insights to PMO reprioritisation, investment planning, and readiness assessments., • Work with Service Performance Manager to correlate capacity with stability, recurrence patterns, and performance bottlenecks., • Partner with Vendor/Contract Manager to assess vendor capacity commitments, delivery models, and scalability., • Collaborate with EA to ensure capacity plans align with technology roadmaps and transformation initiatives., • Ensure appropriate capacity for major business events, releases, migrations, and peak periods., • Maintain regular reporting covering consumption, forecasts, risks, and recommended actions., • Accountable for the accuracy and quality of global demand and capacity forecasts., • Ensure capacity risks are identified early, documented, communicated, and mitigated with clear action plans., • Maintain a single source of truth for demand, consumption, and capacity insights., • Provide leadership with proactive recommendations for investment, optimisation, and scaling actions., • Drive alignment between capacity planning, financial forecasting, and platform/infrastructure strategies., • Prepare and run capacity governance routines including monthly capacity reviews., • Ensure readiness and capacity availability for major business or technology events., • Support cloud optimisation and FinOps activities with accurate consumption modelling., • Collaborate with operational teams to ensure capacity actions support service stability and avoid degradations. Global Delivery & Collaboration: • Work with Regional Service Managers to capture local demand patterns, constraints, and capacity needs., • Collaborate with EA to ensure strategic alignment with long-term architectural evolution., • Partner with Infrastructure and Platform teams to understand scaling limits, performance boundaries, and capacity signals., • Engage with PMO to validate capacity readiness for projects, migrations, and releases., • Coordinate globally with MSPs (incl. Cognizant) to validate vendor capacity and delivery throughput., • Work with Finance and Cost Management teams to validate budget impact, cost-to-serve models, and cloud consumption forecasts. Support Security and Compliance capacity requirements for logging, monitoring, DR, and backup workloads. Key Deliverable: • Global Demand & Capacity Forecast (rolling 12-36 months)., • Capacity Models & Dashboards (infrastructure, cloud, platform, operational workload)., • Monthly Consumption & Capacity Report including risks, hotspots, and future projections., • Quarterly Capacity Review Pack including investment proposals and optimisation insights., • Capacity inputs for PMO readiness assessments, budgeting, and prioritisation., • Documentation of mitigation actions for capacity-related risks. Cloud consumption models and cost-optimisation recommendations. KPIs & Success Measures: • Accuracy of demand and capacity forecasts., • Reduction of unplanned capacity-related incidents or outages., • Timeliness of capacity reporting and insights., • Optimisation impact (cloud savings, resource efficiency gains)., • Stakeholder satisfaction across Technology, Finance, Regions, and Vendors., • Alignment of capacity with business demand and technology roadmaps. What you'll need to succeed • Hands-on experience with automation platforms (ServiceNow Flow Designer, Power Automate, Rundeck, Ansible, Terraform, or similar)., • Scripting skills (PowerShell, Python, Bash, or equivalent)., • Understanding of monitoring and alerting systems (e.g., Dynatrace, Datadog, Splunk, Azure Monitor)., • Knowledge of ITSM processes (Incident, Problem, Change, Request) and workflow automation., • Experience integrating automation with CI/CD, APIs, and cloud-native services., • Strong understanding of identity models, RBAC, and secure automation practices., • Ability nonrepresentational issues and translate them into automation solutions., • Experience working with MSPs and global delivery models What you'll get in return Competitive base salary + bonus + benefits aligned to the seniority of the role.What you need to do nowIf you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

We're Hiring Associate Director – Specialist Modelling up to £100,000 plus bonus and benefits Join a fast-growing specialist modelling team within a leading professional services firm's Financial services practice, delivering advanced analytics solutions to top-tier banking and FinTech clients. • Lead high-impact modelling, model validation, and data analytics engagements, • Apply expertise in loan book ... ZIPC1_UKTJ

Lead Analyst, Pricing and Promotions London - hybrid 2x a week Up to £60,000 This is a high impact role within a newly formed pricing and promotions analytics team, created to meet growing demand for smarter, data led commercial decision making. You will sit at the centre of pricing strategy, combining hands on analytics with senior stakeholder influence and leadership responsibility. The Company They are a large, complex UK consumer business operating at significant scale, with millions of customers and high volumes of transactional data. The organisation is investing heavily in pricing capability, advanced analytics and AI driven commercial insight. This team has strong visibility across the business and works closely with senior commercial leaders on high profile initiatives. The Role You will play a key role in shaping pricing and promotions decisions across the business, balancing long term strategic projects with fast paced commercial requests. • Lead pricing and promotions analysis to support business wide commercial decisions, • Analyse competitor pricing and recommend data led responses, • Deliver clear, impactful pricing performance insight to senior stakeholders, • Support pricing resets, optimisation initiatives and test and learn activity, • Apply advanced analytics including regression modelling and incrementality analysis, • Translate commercial questions into robust analytical approaches and recommendations, • Contribute to the development of AI enabled pricing analytics capability, • Work closely with pricing leadership and SLT facing teams, • Use SQL and Python to interrogate data and generate commercial insight, • Line manage and develop a junior analyst Your Skills and Experience Strong commercial and pricing analytics experience within fast paced environments • Deep expertise in SQL and solid working knowledge of Python, • Experience with pricing analytics, pricing elasticity or promotional optimisation, • Confident working with senior stakeholders and influencing decision making, • Comfortable operating in visible teams where priorities can shift quickly What They Offer • Salary up to £60,000, • Hybrid working with one day per week in London, • Comprehensive benefits package, • Clear opportunity to shape a growing pricing analytics function and progress your career How to Apply Apply now to learn more about this opportunity and discuss how your experience could make an impact.

AI-Augmented Cyber Security Engineer We are seeking an experienced Cyber Security Engineer to join a growing security function within a confidential technology-focused organisation.This role is designed for an engineer who thrives at the intersection of cyber security, data, and emerging AI technologies. You will play a central role in designing, implementing, and continuously improving security capabilities that are increasingly enhanced by AI-driven detection, automation, and intelligent decision support.The position combines deep technical security engineering with forward-looking exploration of AI-enabled security systems, detection engineering, and autonomous or semi-autonomous security workflows. You will help shape how AI is used to improve security visibility, accelerate investigation, and continuously adapt to evolving threats.Working across multiple teams, you will be responsible for building scalable, intelligent, and adaptive security systems that evolve alongside both cyber threats and AI-enabled attack techniques.Core Skills • Strong foundation in modern cyber security engineering and detection engineering principles., • Experience with security monitoring platforms, SIEM systems, and alerting/detection pipelines., • Strong understanding of identity and access management, endpoint security, logging, network security, and vulnerability management., • Knowledge of security architecture principles and secure-by-design methodologies., • Experience building automation and security workflows using Python, PowerShell, or similar tooling., • Familiarity with AI-assisted security tools, machine learning concepts for detection, or data-driven security analytics., • Understanding of how AI can be applied to threat detection, anomaly detection, investigation support, and security operations automation., • Awareness of emerging AI-driven attack techniques, including adversarial AI and automated exploitation methods., • Familiarity with security frameworks and standards such as NIST, CIS, ISO 27001, and GDPR., • Strong analytical thinking with a structured, risk-based approach., • Excellent communication skills with the ability to translate technical and AI-driven insights into actionable decisions.Responsibilities, • Design, implement, and continuously improve AI-enhanced security controls across enterprise environments., • Design, implement, and continuously improve detection engineering pipelines, leveraging both traditional and AI-assisted approaches., • Build and evolve intelligent monitoring systems that combine rule-based detection with behavioural and AI-driven analytics., • Develop automation and AI-assisted workflows to improve alert triage, investigation speed, and operational efficiency., • Work closely with engineering and security teams to integrate AI-enabled security capabilities into operational processes., • Support incident investigations using advanced analytics, AI-assisted tooling, and structured threat analysis techniques., • Conduct threat modelling and security architecture reviews with a focus on emerging AI-enabled risks and system complexity., • Identify vulnerabilities and continuously improve remediation strategies using data-driven insights., • Evaluate emerging cyber threats, including AI-generated attacks, autonomous malware, and adversarial machine learning techniques., • Research, prototype, and implement AI-driven security capabilities to improve detection, response, and resilience., • Design and maintain security standards, engineering patterns, and documentation for AI-enabled security systems., • Support compliance and governance activities through automated evidence generation and control monitoring., • Contribute to the long-term strategy for AI-driven security transformation and intelligent security operations.Experience & Qualifications, • Minimum 5+ years of experience in cyber security engineering, detection engineering, security operations, or related technical security disciplines., • Proven experience designing, implementing, and continuously improving security controls in complex environments., • Bachelor's degree in Cyber Security, Computer Science, Information Technology, or equivalent practical experience., • Familiarity with AI/ML concepts applied to security use cases is highly desirable., • Experience working with or building automation, analytics, or data-driven security solutions is strongly preferred., • Relevant certifications are beneficial, such as CISSP, CCSP, GSEC, GIAC certifications, Security+, or equivalent., • Experience in regulated or high-assurance environments is advantageous., • Demonstrated curiosity and interest in AI, intelligent automation, and next-generation security technologies.The TeamThe Cyber Security team is responsible for protecting systems, digital assets, users, and data while enabling the organisation to operate securely at scale and speed.The team focuses on designing, implementing, and continuously improving intelligent security capabilities that integrate automation and AI to enhance visibility, detection quality, and response efficiency.Security is treated as an important and evolving system—continuously evolving through data, automation, and AI-assisted decision-making—rather than a static set of controls.We are a collaborative and forward-thinking organisation that values technical excellence, curiosity, and innovation.We believe the strongest security outcomes are achieved by combining human expertise with intelligent systems, automation, and AI-driven insights.What you'll be doing, • Designing and implementing AI-enhanced security and detection capabilities, • Continuously improving detection quality through data, automation, and machine intelligence, • Reducing manual effort through intelligent workflows and AI-assisted operations, • Strengthening visibility across complex environments using modern analytics approaches, • Building a security function that evolves alongside emerging AI-driven threats and technologiesInterested? Please apply now!Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity.

Senior Cloud Security Engineer (London or Bristol) We are HealthHero, Europe’s largest digital clinic. Join us at a pivotal moment as we scale our digital healthcare platform across Europe — giving you the chance to shape security at the heart of a fast-growing, AI-driven business. We are recruiting an exciting Senior Cloud Security Engineer on an initial 12 month fixed term contract, with a view to becoming permanent – based in either our London or Bristol office two days per week. About the role This role will form a fundamental part of a growing PlatformSecurity function, where the team covers application security, cloud security, security operations, culture and risk management. As a tech-centric organisation the Information Security team will play a critical part in embedding a security-first mindset into application development and continuous application monitoring. This role will co-own the cloud security posture and tooling across HealthHero’s AWS and Azure estates and have the opportunity to tackle cloud security with an international scope. The role will be supported by a multidisciplinary force of Infrastructure, Data Governance and Engineering team leads with a security focus as part of their remit. The role has a focus on infrastructure and cloud networking when it comes to security posture. As an experienced Cloud Security Engineer, your working day will include but not be limited to: DevSecOps & SDLC • Champion integration of security testing into CI/CD pipelines across all development teams and usage of automated security gates: SAST, DAST, dependency scanning, secrets detection, • Enable self-serve security tooling for development teams, • Ability to set up development environment Cloud Security • Own cloud security posture management using Wiz (or similar CSPM) Define and enforce cloud security baselines, guardrails, and policies in AWS, • Implement and maintain IaC security scanning for Terraform, • Manage IAM policies, network segmentation, and secrets management, • Configure and tune SIEM (or similar) for cloud-focused detection, • Establish logging, monitoring, and alerting requirements based on threat modelling, • Investigate and respond to cloud security events Risk & Compliance • Identify, articulate, and escalate security risks to senior leadership with mitigation plans, • Track and remediate vulnerabilities across infrastructure, • Manage customer initiatives related to due diligence when required to, • Support and develop annual programme of Penetration Testing and associated remediations Stakeholder Engagement • Partner with internal and stakeholder management to support any requirements from the security function - particularly governance and accreditation requirements across different countries, • Provide expertise on emerging threats and vulnerabilities, • Support response to customer/client due diligence requests with timely and accurate information regarding vulnerability exposure Key Skills and Experience Essential • Proven experience in application security, DevSecOps, or cloud security, • Strong understanding of cloud networking, • Experience securing cloud environments (AWS, Azure), • Ability to read and write IAC (Terraform) code, comfortable with IAC lifecycles, • Familiarity with container security and Kubernetes, • Understanding of secure coding, penetration testing techniques, SIEM, and vulnerability management, • Strong technical skills relevant to Information Security such as secure coding standards, ethical hacking techniques, network security and risk analysis, • Understanding of managing Secure Development Lifecycle and Vulnerability Management., • Understanding and practical experience of ISO27001:2022 controls and audit processes Desirable • AWS Security Specialty or similar certification, • Experience in regulated environments (healthcare, financial services), • Familiarity with NHS DSPT, • Technical knowledge of GDPR and data protection requirements, • Hands-on with CI/CD security tooling and pipeline integration, • Interest in learning other countries health and security regulations (France / UK / IR / DE) About us We exist to simplify healthcare and improve lives by making care feel instant, intelligent and human. HealthHero is Europe’s largest digital health provider, delivering 4 million consultations per year. But we’re just getting started. We’ve built a seamless digital clinic that brings body and mind together — from GP appointments and mental health support to long-term condition management. By sitting behind the world’s leading insurers and employers and supporting public health systems, we make it easier for millions of people to get the care they need, exactly when they need it. We are a high-growth, capital-backed business with a sophisticated scale strategy. Our team is a unique blend of those with strong digital experience, management consultants, creatives and industry-leading clinical experts. We aren’t just digitising appointments; we’re building the next generation of healthcare. We’re creating an AI-powered, always-on ecosystem that learns from every interaction to shift the needle from reactive treatment to proactive, sustainable health. At HealthHero, we are digital when it should be and human where it counts. Join us, and help build a next generation health system the world is waiting for. We’re proud to be recognised as a which reflects our commitment to creating a supportive and engaging culture. We have also been featured as the fastest growing digital healthcare company of scale in the first Sunday Times 100 Tech list. This recognition shows our impact in the digital health sector and our dedication to innovation and excellence. Committed to achieving excellence in the delivery of person-centred care, we invest in people, resources and technology to continuously improve the quality of its services and organisational culture.

A fantastic opportunity has arisen for a Finance and Operations Manager with a human rights charity on a full-time, 12-month FTC (maternity cover) basis. As Finance and Operations Manager, you will lead the charity’s finance and operations functions, ensuring strong financial stewardship, smooth organisational operations, and a supportive, compliant environment for staff and Fellows. You will work closely with the CEO, Treasurer and Board, bringing the charity’s values into action in a fast-moving organisation responding to global crises. There is hybrid working in place with this organisation with a minimum of 2 days per week required in their London office. As Finance and Operations Manager, you will: • Oversee budgeting, forecasting, cashflow and financial controls, • Lead audits, manage banking relationships and ensure transparent reporting, • Strengthen operational systems, compliance, data protection and digital tools, • Support recruitment, onboarding, HR policies and staff wellbeing, • Manage a small finance/operations team and key external providers The successful applicant will: • Have significant demonstrable experience in finance and operations within the charity sector, in a similar role, • Be part qualified (ACA, ACCA, CIMA etc) or equivalent, • Have experience of managing compliance areas such as data protection, cyber security, insurance and risk, • Have a proven track record in budgeting, forecasting, cashflow management, and financial modelling, • Have experience with managing or leading a small team, • Have excellent communication skills, both written and verbal If this sounds like you and you're keen to hear more, please do get in touch ASAP! Please note, only successful applicants will be contacted with further information. As leading charity recruitment specialists and a certified B Corp™, Harris Hill is committed to high and ever-improving standards of equitable and inclusive recruitment. We actively welcome applications from all sections of the community regardless of age, disability, gender, race, religion, sexuality and other protected characteristics.

Senior Data Science Consultant£60k - £70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing • Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle, • Working closely with clients to understand business challenges and deliver innovative, data-driven solutions, • Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements, • Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling, • Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment, • Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development, • Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities, • Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring • Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment, • Strong knowledge across the ML lifecycle and advanced analytical methodologies, • Passion for demonstrating how Agentic AI and GenAI can unlock business value, • Excellent stakeholder management, communication and presentation skills, • Experience helping clients derive actionable insights from complex data, • Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: • Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks, • Programming Languages: Python, R, PySpark, • Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

Job DescriptionJob Title Technical Architect Directorate / Department Digital Services / Technology Reports To Enterprise Architecture Lead Role Purpose The Technical Architect is responsible for defining, designing, and governing the technical architecture for new solutions and enhancements within a Microsoft Power Platform ecosystem. This role involves interpreting complex business and technical requirements and translating them into clear, scalable, and robust architectural designs aligned with organisational standards. The Technical Architect will ensure that all solutions meet both business objectives and technical governance requirements. Working collaboratively across Digital Services, the role engages with stakeholders at all levels as well as external implementation partners to ensure the successful delivery of integrated and sustainable technology solutions. Key Responsibilities • Analyse business and technical requirements, aligning them with the organisation's enterprise architecture to define appropriate solution approaches, • Design end-to-end solution architectures, breaking down complex initiatives into structured, deliverable components, • Produce high-quality architectural artefacts, including diagrams, technical documentation, and design specifications, • Assess and clearly communicate technical risks, constraints, and trade-offs to stakeholders, • Develop functional designs and prototype-level representations using appropriate modelling tools and techniques, • Ensure technical delivery aligns with agreed architectural standards and designs, escalating issues where necessary, • Troubleshoot and resolve architectural and integration issues across build, test, and live environments, • Collaborate with external vendors and delivery partners to ensure compliance with architectural principles and standardsPerson SpecificationBehaviours 1. Collaboration (Lead Behaviour) • Communicates clearly, adapting messaging to suit different audiences, • Presents ideas and technical concepts in a structured and persuasive way, • Builds trust through open, honest, and consistent communication, • Works effectively across teams, influencing stakeholders at all levels 1. Decision Making • Uses structured analysis and evidence to inform decisions, • Balances competing priorities such as cost, risk, urgency, and impact, • Engages stakeholders appropriately to support decision-making, • Applies proportionate and pragmatic risk management approaches 1. Delivery Focus • Takes ownership of delivering high-quality outcomes, • Plans and executes work in a structured, methodical manner, • Ensures delivery aligns with organisational goals and priorities, • Maintains focus and follows through on commitmentsTechnical Skills, • Degree (or equivalent experience) in IT, Computer Science, or a related discipline, • Strong understanding of Microsoft technologies, particularly Power Platform and Dynamics 365, and their integration with enterprise systems, • Knowledge of integration patterns across legacy and modern architectures, • Familiarity with technologies such as C#, JavaScript, SQL, and enterprise platforms (e.g. SAP, Oracle), • Experience designing and troubleshooting complex, distributed systems, • Ability to communicate complex technical concepts to non-technical audiencesExperience, • Significant experience (typically 5+ years) in a Technical Architect or similar role, • Proven track record of translating business requirements into effective technical and solution architectures, • Experience across key architecture domains, including integration, security, and transitional architecture, • Hands-on involvement in solution design, governance, and implementation oversightGeneral Responsibilities, • Comply with all health and safety requirements, • Adhere to organisational policies, including equality, diversity, and inclusion, • Maintain confidentiality and ensure compliance with data protection regulations, • Follow information security and acceptable use policies, • Apply risk management principles in day-to-day activities, • Demonstrate organisational values and behaviours in all work, • Remain flexible and adaptable to support additional duties as required

SENIOR DATA ARCHITECT£87,500 LONDON THE COMPANY Our client is a global management and technology consultancy specialising in financial services and energy. With a strong presence in the UK and globally, they are known for delivering end-to-end transformation projects across data, cloud, and analytics. They continue to experience high demand across their data function and are investing heavily in growing their Data Architecture capability. THE ROLE You will join as a Senior Data Architect, working closely with clients to design and deliver modern data platforms and architecture solutions. Key responsibilities include: • Designing and implementing scalable cloud-based data architectures, • Leading data architecture workstreams across transformation programmes, • Delivering hands-on data modelling and solution design, • Working closely with engineering and business teams across the full lifecycle, • Engaging with stakeholders to translate business requirements into technical solutions, • Supporting data migrations from legacy systems to modern cloud environments YOUR SKILLS AND EXPERIENCE • Proven experience as a Data Architect (not purely engineering-focused), • Strong Financial Services experience (banking, capital markets, insurance, or wealth), • Background in consulting or client-facing environments, • Experience with cloud platforms (Azure preferred, AWS/GCP also considered), • Strong data modelling and architecture design capability, • Experience delivering data migration or transformation programmes, • Strong communication and stakeholder management skills SALARY AND BENEFITS • £70,000 - £87,500 base salary, • Discretionary bonus, • Medical, • Hybrid working HOW TO APPLY Please apply via the link or send your CV to Harry Lack through the "Apply" link to be considered.

Our client, a leader in advanced composite manufacturing, automated lay-up systems, and next-generation materials engineering, is expanding its London engineering team. They are seeking talented Software Engineers with experience in composites, manufacturing automation, or materials-driven engineering environments. This role sits at the intersection of software, robotics, and high-performance composite structures, contributing to systems used across aerospace, automotive, defence, and clean-tech sectors. The Role You will develop control systems, automation software, simulation tools, and data-driven manufacturing platforms used in composite production. Working closely with mechanical, materials, and process engineers, you’ll deliver robust, high-performance software for real-world manufacturing environments. Key Responsibilities • Develop and maintain software for automated composite manufacturing systems, • Build control algorithms for robotic lay-up, curing, trimming, and inspection processes, • Integrate software with sensors, machine vision, PLCs, and industrial hardware, • Create simulation, modelling, and optimisation tools for composite structures, • Support R&D projects involving new materials, resins, and fibre-placement technologies, • Collaborate with cross-functional teams to deliver customer-specific solutions, • Contribute to testing, validation, and continuous improvement of production systemsSkills & ExperienceEssential, • Strong programming skills in C++, Python, or C#, • Experience in manufacturing systems, automation, robotics, or industrial software, • Understanding of composite materials, lay-up processes, or materials engineering, • Familiarity with control systems, real-time software, or embedded development, • Ability to work on customer-driven engineering projectsDesirable, • Experience with PLC programming, • Knowledge of finite element analysis, simulation, or optimisation tools, • Exposure to machine vision, sensor fusion, or data acquisition systems, • Background in aerospace, automotive, motorsport, or advanced manufacturingWhat Our Client Offers, • Work on cutting-edge composite manufacturing innovations, • A collaborative, engineering-focused culture, • Opportunities to influence next-generation production systems, • Career progression across software, automation, and R&D, • Competitive salary + benefits

Senior / Lead Machine Learning Engineer - Time-Series, Pricing, Customer Behaviour, Feature stores, MLOps London Hybrid | £100,000 – £120,000 + Equity This is a genuinely interesting opportunity for someone who enjoys solving large-scale, real-world machine learning problems rather than purely experimental work. The team is building forecasting, recommendation, pricing, and AI-driven decision systems that operate across a huge global dataset, with models directly influencing commercial decisions at scale. The role is heavily focused on machine learning engineering, particularly around time-series forecasting, scalable ML systems, feature stores, and MLOps. There’s also some exposure to generative AI and LLM-related work, but this is primarily a deeply technical ML engineering role rather than a pure GenAI position. What makes the opportunity stand out is the blend of scale, technical complexity, and visibility. You’d be joining a relatively small but high-calibre AI team with strong research and engineering backgrounds, helping shape systems that directly influence pricing, marketing, and customer experience across thousands of businesses globally. They’re looking for somebody who can stay hands-on technically while also helping guide more junior engineers and contribute to the wider technical direction of the team. The environment feels like a startup within a larger global business. There’s plenty of ownership, freedom to influence technical decisions, and the opportunity to work on genuinely impactful AI systems at scale. The setup is hybrid with two days per week onsite in London. Experience around forecasting, time-series modelling, recommendation systems, production ML infrastructure, or large-scale MLOps environments would all be highly relevant. Salary: £100,000 - £120,000 plus equity and benefits. APPLY NOW for immediate consideration. N.B. - They do not offer visa sponsorship

Job Title: Snowflake Data Architect Salary: Paying up to £90,000 per annum Location: Wembley London - 5 days on-site Our client, a well-established and diversified multinational organisation, is seeking a Snowflake / Data Architect to join their team. Skills • Solid experience in Data Engineering or Data Architecture, with a minimum of 4 years specialising in Snowflake platform design and governance., • Data Architecture: Mastery of Data Warehouse design methodologies - Inmon, Kimball, and Data Vault 2.0 - with the judgement to apply the right pattern for the right use case., • Technical Skills: Expert SQL and Python; hands-on experience with dbt (data build tool) or equivalent transformation frameworks., • AWS Integration: Solid understanding of AWS IAM, S3 data lake patterns, and PrivateLink for cross-cloud data connectivity., • AI Readiness: Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration., • Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical stakeholders. Duties • Data Modelling Standard: defining Star Schema patterns, Snowflake object hierarchies, and modelling conventions that serve as the Group-wide standard for all data products., • Cross-Cloud Orchestration: Design and implement secure, high-throughput data pipelines connecting AWS S3 and Azure APIs through Snowflake - ensuring data integrity, lineage tracking, and end-to-end auditability., • Snowflake Governance: Own the full security model for the Snowflake platform - RBAC policy design, dynamic data masking, row-level security, and comprehensive audit logging across all environments., • FinOps for Data: Monitor Snowflake credit consumption patterns, identify and remediate high-cost query anti-patterns, and implement warehouse scheduling strategies to reduce operational data spend., • AI Readiness: Architect data stores purpose-built for LLM consumption - including vector databases, embedding pipelines, and RAG-compatible data structures that will serve as the foundation for Bestway's AI product layer., • Data Contracts: Partner with Business Analysts to formally define and document 'Data Contracts' between systems - creating clear, agreed interfaces between producers and consumers across the data platform.

DATA SCIENTIST (PRICING) £480 - £530 PER DAY OUTSIDE IR35 HYBRID (1-2 DAYS PER MONTH IN THE OFFICE - LONDON) 7 MONTH CONTRACT THE COMPANY: Join a global media business with a key focus on improving commercial visibility, pricing strategy, and revenue management processes. THE ROLE: As a Data Scientist, you will work closely with commercial stakeholders across a specific European market to help shape and deliver revenue management and pricing analytics solutions. Each market is at a different stage of maturity, meaning this role will combine structured delivery work with more exploratory and discovery-led problem solving. You will be responsible for translating commercial questions into analytical requirements, building dashboards and reporting solutions, and supporting wider pricing and revenue optimisation initiatives. As a Data Scientist, your key responsibilities will include: • Building analytical solutions to support pricing and revenue management decisions, • Developing dashboards and reporting outputs in Tableau, • Writing complex SQL scripts and exploratory analyses, • Conducting advanced analysis around pricing, inventory demand, capacity forecasting, and commercial performance, • Working with stakeholders to understand business challenges and translate them into data requirements, • Supporting the creation of tools and frameworks that influence pricing decisions across multiple markets, • Collaborating within an agile squad environment alongside Data Scientists, Analytics Engineers, and commercial stakeholders, • Presenting findings to both technical and non-technical audiences YOUR SKILLS AND EXPERIENCE: The successful candidate will have: • Strong hands-on SQL experience, • Strong Tableau experience, • Python experience for advanced modelling, forecasting, optimisation, or exploratory analytics, • Experience working on pricing, revenue management, commercial analytics, or forecasting projects, • Strong stakeholder management and communication skills, • Experience working closely with commercial or operational teams, • The ability to translate business problems into analytical solutions, • Experience working within agile squads and cross-functional environments, • Comfort working with ambiguity and helping shape early-stage analytical initiatives, • Experience within media or advertising environments would be highly beneficial HOW TO APPLY: Please register your interest by sending your CV to Mojola Coker via the apply link on this page.

SENIOR ENGAGEMENT MANAGER LONDON/LEEDS/HYBRID UP TO £120,000 This is a senior, high impact role for an analytics consulting leader who wants to shape a growing advisory capability rather than step into a fixed, plug and play position. You will sit at the centre of complex client engagements, combining strategic problem solving, senior stakeholder leadership, and hands on delivery to drive measurable commercial outcomes. ROLES AND RESPONSIBILITIES: The Senior Engagement Manager will: • Lead complex, analytics driven consulting engagements from problem definition through to value realisation., • Act as the primary senior client contact, building trusted relationships and guiding executive decision making., • Shape analytical approaches across modelling, experimentation, business analytics, and insight activation., • Oversee multi workstream delivery teams, setting quality standards, governance, and delivery cadence., • Drive commercial growth through opportunity identification, proposal development, and account expansion., • Contribute to practice building through reusable assets, delivery frameworks, and thought leadership., • Mentor and develop consultants and analysts, supporting capability growth across the practice. YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: • Strong commercial experience leading analytics or data consulting engagements within financial services., • Proven ability to translate complex analysis into clear, actionable business outcomes., • Deep understanding of areas such as credit risk, portfolio management, fraud, pricing, or customer analytics., • Confidence operating with senior stakeholders, including executive and board level audiences., • Commercial acumen across scoping, pricing, and managing profitable consulting engagements., • Familiarity with modern data environments, analytical tools, and visualisation platforms. APPLY BELOW!