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Desk Investigator – Counter Fraud \n The Role: \n The Fraud investigator role is an integral part of Technical Claims at Marley Risk Consultancy’s (MRC), responsible for identifying, investigating, and mitigating fraudulent insurance claims. Through raising fraud awareness and delivering high-quality, intelligence-led investigations, you will support the development of a strong anti-fraud culture, helping to protect the business, its clients, and honest customers from the financial and reputational harm caused by insurance fraud. \n As an experienced investigative professional, you will apply intelligence-led methodologies to enhance fraud detection, conduct robust and evidence-based investigations, and support fair, consistent, and transparent claims outcomes, ensuring compliance with all legal, regulatory, and ethical standards. \n You will work collaboratively with Claims, Underwriting, Legal, and external stakeholders, and will also support wider investigative activity across the business, including Major Loss and Recovery functions, where your investigative skills and analytical capability can add value. \n \n Job Type: This role will be a full-time permanent contract (Mon-Fri). \n Job Location: This role will be associated with MRC headquarters in Cheltenham but can be a fully remote, hybrid or office based. A presence at site locations will be required with occasional travel. \n \n Key Activities: \n Fraud Detection & Investigation \n\n • Identify potentially fraudulent claims through referrals, data analysis, intelligence gathering and fraud indicators.\n, • Conduct end-to-end investigations into suspected claims fraud, including policy application fraud,exaggerated loss, staged incidents, and non-disclosure.\n, • Gather, analyse, and evaluate evidence from multiple sources (claim files, policy documentation, statements, databases, surveillance, financial and open source intelligence).\n, • Conduct investigative interviews with claimants, witnesses, and relevant third parties in line with legal and procedural standards.\n, • Obtain evidential statements\n, • Maintain clear, auditable investigation records and case files.\n\n Decision-Making & Outcomes \n\n • Make balanced, evidence-based recommendations on claim repudiation, settlement, recovery, or escalation to civil or criminal action.\n, • Prepare concise, well-structured investigation reports to support claims decisions and legal proceedings where required.\n, • Support the recovery of fraudulent payments and prevention of further loss.\n\n Intelligence & Prevention \n\n • Interrogation of Open Source and third party systems to produce intelligence reports\n, • Contribute to intelligence gathering, fraud trend analysis, and the development of fraud indicators and profiles.\n, • Share insights with Claims and Fraud teams to improve detection and prevention strategies.\n, • Support continuous improvement of fraud controls, processes, and referral pathways.\n, • Conduct fraud health checks across Major Loss claims to provide assurance\n, • Provide investigative research reports to support claims and recovery opportunities\n\n Stakeholder & External Engagement \n\n • Work collaboratively with Claims Handlers, Legal, Compliance, and Underwriting teams.\n, • Liaise with external parties such as law enforcement, solicitors, insurers, loss adjusters, and industry bodies where appropriate.\n, • Represent the organisation professionally in meetings, interviews, and external forums.\n\n Governance, Compliance & Professional Standards \n\n • Ensure investigations comply with relevant legislation, regulatory requirements, and industry best practice (e.g. FCA, Data Protection, CPIA where applicable).\n, • Act with integrity, fairness, and impartiality, ensuring customers are treated consistently and ethically.\n, • Maintain confidentiality and data security at all times.\n\n ·Other Duties \n ·Perform additional tasks as reasonably required by the business. \n \n Experience required: \n\n • Proven experience in insurance claims fraud investigation or a related investigative role.\n, • Strong understanding of insurance claims processes and common fraud typologies.\n, • Excellent investigative, analytical, and critical-thinking skills.\n, • Ability to assess evidence objectively and make defensible recommendations.\n, • Strong written and verbal communication skills, including report writing and interviewing.\n, • Conversation management interviews.\n, • Obtaining evidential witness statements.\n, • High level of integrity and attention to detail.\n, • Ability to manage a caseload effectively and meet deadlines.\n, • Use of using fraud detection tools, intelligence systems or data analytics.\n, • Knowledge of industry databases and information- sharing arrangements.\n, • Intelligence gathering and reports working to National Intelligence Model (NIM)\n\n Desired Skills and Competencies: \n ·Ethics, integrity, and professionalism \n ·Strategic leadership and commercial acumen \n ·Technical authority and judgement \n ·Risk management and quality assurance \n ·Client focus and stakeholder confidence \n ·People leadership and talent development \n ·Driving value for money and sustainable growth \n ·Attention to detail \n ·Expert verbal and written communication skills \n \n Qualifications required: \n ·Degree or equivalent \n ·Professional qualifications or certification e.g. CII, CILA, ACFS \n \n Benefits: \n ·Enhanced company pension \n ·Cycle to work scheme \n ·Tech scheme \n ·Life insurance (following successful completion of probationary period) \n ·Private medical insurance (following successful completion of probationary period) \n ·Flexible working \n ·Employee assistance programme \n ·Free gym membership

Trainee Data Scientist - No Experience Required \n Are you looking to kick-start a new career as a Data Scientist? \n We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. \n Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. \n The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: \n Step 1 - Full Data Science Career Training \n You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. \n Step 2 - CompTIA Data+ \n CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. \n Step 3 - Official Exam \n The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. \n Step 4 - Practical Projects \n Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. \n Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. \n Your Data Science Role \n Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. \n We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. \n We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories. \n Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.

Are you an experienced paid media marketer who values an inclusive and collaborative working environment? If so, then this might be a role for you! We’re working with an established digital agency as they look to hire a Senior Paid Media Specialist. \n \n The Role \n \n This is a genuinely hands-on position, combining campaign strategy and execution across a varied portfolio of eCommerce and lead-generation clients. You’ll manage campaigns with budgets ranging up to six figures a month, so you’ll need to be comfortable adapting your approach to different levels of investment, commercial objectives and account complexity. \n \n Google Ads will sit at the heart of the role. You’ll take ownership of campaign planning, builds, optimisation and testing across Search and Performance Max, using data to improve return, reduce acquisition costs and identify opportunities for growth. You’ll also work across paid-social platforms including Meta and LinkedIn. While experience across both search and social would be ideal, the business is open to someone whose strongest expertise sits within Google Ads and who is keen to develop further across paid social. \n \n You’ll work closely with the agency’s Account Managers, who lead the overall client relationships, while acting as the paid-media specialist during client calls. You’ll present results, explain performance clearly, recommend next steps and help clients understand how their campaigns support their wider commercial and marketing objectives. \n \n There is also the potential for this person to mentor, develop or lead members of the PPC team. The exact scope will depend on the experience and strengths of the individual appointed, so the business is open to both an established people manager and a highly credible senior specialist ready to take their first step into leadership. \n \n The agency has ambitious plans to grow its paid-media offering, so this is an opportunity to influence how the channel develops. You’ll be encouraged to bring ideas, challenge existing approaches, experiment with new tools and help the wider team continually improve its work. \n \n Skills and Experience \n \n\n • Several years’ hands-on paid-media experience, ideally within an agency environment.\n, • Strong Google Ads knowledge, including campaign structure, keyword research, bidding strategies, budget management and optimisation.\n, • Experience across paid-social platforms such as Meta and LinkedIn, or a genuine interest in developing this area.\n, • Strong analytical skills and the ability to translate campaign data into useful commercial recommendations.\n, • Experience managing multiple client accounts, objectives and budgets.\n, • Confidence contributing to client meetings as the technical paid-media specialist.\n, • Experience with campaign reporting, A/B testing and ongoing performance optimisation.\n, • Google Analytics knowledge would be beneficial.\n, • Performance Max experience would be advantageous.\n, • An interest in AI and how it can be used to improve the quality and efficiency of paid-media work.\n, • A collaborative, low-ego approach and a willingness to share your knowledge with others.\n, • Agency experience is preferred, although strong in-house candidates will also be considered.\n\n \n Benefits \n \n Depending on your level of experience and breadth of platform knowledge, there is a salary on offer here of up to £50k. Alongside that, you will be entitled to an annual bonus of up to 10% of your basic salary which is based on company and individual performance. Holiday entitlement starts at 23 days but increases up to 30 days. There’s huge opportunity here for progression, as well as a genuinely inclusive and collaborative working culture. This is a hybrid role and you will be expected to work in the office in Cheltenham 3 days a week. \n \n Sound Good? \n \n If you’re an experienced paid-media specialist who enjoys combining hands-on campaign delivery with strategy and client collaboration, we’d love to hear from you. Get in touch with Stacey for the finer details.

RWE Supply & Trading GmbHTo start as soon as possible, full time / part time, permanent Functional area: IT / Digital Remuneration: tariff/non-tariffDepartment InsightsIt’s an exciting time to join us! The RWEST Data Platform Team is looking for a Senior Data Engineer to help shape the future of data, AI and analytics across our organisation, using modern cloud, Databricks and AI technologies to deliver scalable, trusted and business-critical data solutions.Our Lead in Data (LiD) platform is the primary data analytics platform within the group and continues to transform how data is discovered, shared, onboarded and governed. By combining cloud-native data engineering with Databricks, advanced analytics and emerging AI capabilities, we are enabling faster access to high-quality market data and creating a stronger foundation for intelligent decision-making across trading, analysis and support functions.We are looking for a curious, motivated technology enthusiast to join us as a Senior Data Engineer. You will work closely with business stakeholders, Data engineers, DevOps engineers and internal squads to define the future direction of our platform, explore innovative AI-enabled use cases, and help build robust data products that deliver measurable value.If you are passionate about data formats, Databricks, engineering and the practical application of AI technologies, then apply now or contact me for an informal chat!Your future responsibilities Take ownership of the technical design and evolution of our data analytics platform, integrating new use cases and data sources while ensuring strong performance, scalability, robustness, availability, maintainability and appropriate data latency.Explore and apply AI-enabled engineering tools and technologies, including code assistants, intelligent automation, data quality accelerators and emerging AI use cases that improve developer productivity, platform operations and user outcomes.Design and implement high-quality data pipelines and data products using strong SQL skills, modern data engineering patterns, cloud-native services, Spark and Databricks capabilities including notebooks, jobs, workflows and Delta Lake.Work confidently with common data formats and storage patterns such as Parquet, Delta, CSV, JSON and structured/semi-structured datasets, ensuring data is modelled, curated, documented and made available in a reliable and reusable way.Act as the interface between key business stakeholders, Product Owners, Data Engineers and DevOps Engineers, translating business requirements into clear technical backlog items, architecture decisions and delivery roadmaps.Shape and influence the technical delivery backlog with innovation ideas, platform enhancements, automation opportunities and technical requirements gathered from users, engineers, vendors and operational insights.Contribute as a senior technical problem solver in a multidisciplinary team, creating pragmatic solutions for complex data platform requirements with a strong focus on engineering quality, observability, security and operational excellence.Keep up to date with trends in data analytics, Lakehouse architecture, Databricks, AI/ML tooling, data governance and modern engineering practices, identifying where new technologies can solve real business and platform problems.Engage with platform vendors prioritising fixes, understanding product roadmaps, assessing technical and commercial impact, and managing usage, billing and adoption considerations.Your powerful skillsExtensive hands on experience developing large-scale data engineering solutions using Python, SQL, AWS Lambda and Terraform.Proven expertise in working with AI agents, LLM-powered applications, automation frameworks, and cloud-native data platforms.Able to translate business requirements into clear technical designs and improve existing solutions.Strong understanding of cloud architecture, production systems and resilient platform design.Collaborative mindset with a strong focus on delivering value to users.Good grasp of operational excellence, including availability, monitoring, security and robustness.Experience with DevOps practices, automation and reliable delivery processes.Confident communicator with customers, stakeholders and IT colleagues at all levels.Builds strong working relationships and collaborates effectively with peers.Clear, structured and proactive communication style.Able to manage differing views constructively and professionally.Inspires trust and confidence through ownership, clarity and reliability.Motivated self-starter who is independent, reliable and team-oriented.Fluent English communication skills, both verbal and written.What we value most is passion, willingness to learn and a determined and resilient work ethic. So, if you can’t display all of the skills above then we would still love to hear from you!Advantageous, but not a mustExperience of coaching and / or mentoring colleaguesCollaboration and sharing of expertise to others across the organisationBenefits you can rely onWorking in one of the most interesting business contexts; a mixture of energy supply, trading and of course IT!Working in an large agile team on things which matterEvolve your skills together with us – we offer comprehensive on the job learning as well as support from internal experts to develop your existing skills even furtherCompetitive salary plus annual discretionary bonusOpen and diverse company culturerwe.com/careerApply now with just a few clicks: ad code 93071,Any questions? Vince Manning (Recruiting), +44 7585 981083, We look forward to meeting you!We value diversity and therefore welcome all applications, irrespective of gender, disability, nationality, ethnic and social background, religion and beliefs, age or sexual orientation and identity. #inclusionmattersOf course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too.RWE represents change, innovation and sustainability. As one of the world’s leading generators of electricity from renewable energy sources, we aim to be carbon-neutral by 2040 and to enable a sustainable life for people around the world. To achieve this, we are looking for dynamic and motivated people to join us in creating a sustainable and secure energy future.About RWE Supply & Trading GmbHRWE Supply & Trading is the interface between RWE and the energy markets around the world. Around 2,000 employees from over 70 different countries trade electricity, gas, commodities and CO2 emission allowances. The trading entity also ensures the commercial optimisation of RWE’s power plant dispatch and markets electricity from RWE.

About Columbia Threadneedle InvestmentsWorking at Columbia Threadneedle Investments you'll find growth and career opportunities across all of our businesses.We're intentionally built to help you succeed. Our reach is expansive with a global team of 2,300 people working together. Our capability is diverse with more than 550 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies, and we have the capability to create bespoke solutions matched to clients' specific requirements. Our unwavering focus on our clients and strong financial foundation connects each of our enterprise businesses — Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities.Job DescriptionWhere you’ll fit in & what our team goals are…We are looking for someone with a strong technology background and inclination to join our team, playing a key part in transforming our function through the use of technology, automation, data analytics, and process improvement. You will be part of Columbia Threadneedle Investments where the role sits within the Controllership function within Finance. The team is around 70 globally across UK, Luxembourg, India, Apac and North America. The function is responsible for "record to report" comprising revenue and expense accruals and billing through to the preparation of statutory accounts, regulatory and statistical submissions, and financial board reporting.How you'll spend your time...The role will help shape the Controllership and Finance functions of the future and our journey to achieve these.The individual will contribute to and lead the identification, design, and implementation of automation opportunities across the Controllership function. Develop Python-based solutions to automate data collection, reconciliation, reporting, validation, and control activities.Build and maintain Power BI dashboards and reporting solutions to improve management insight and operational transparency.Support the adoption and development of new tools such as Microsoft Fabric including data integration, analytics, and reporting solutions and evaluate emerging technologies, including AI and Copilot capabilities, and identify practical use cases within Finance..Partner with teams across the business to design scalable reporting and data solutions. Establish and promote best practices around automation, documentation, governance, and change management.The individual will drive continuous improvement initiatives to simplify reporting processes and reduce manual effort. Enhance controls through automation and exception-based monitoring. Support and lead implementation of strategic finance transformation initiatives. Document solutions and maintain appropriate governance over key processes and tools.Stakeholder management is an important part of the role. They will need to build strong relationships with stakeholders across Finance, Risk, Compliance, Technology, and Data teams. Translate complex finance requirements into practical technology solutions. Provide training and support to finance colleagues to encourage broader adoption of technology and automation tools. Act as a technology champion within the Controllership organization.To be successful in this role you will have...Experience coding in python or using AI tools to code in pythonExperience developing dashboards in business intelligence tools such as Power BI or TableauExperience working in a Finance function.The individual must be inquisitive and a self starter with a proven ability to deliver change and a desire for continuous improvement.If you also had this, it would be great...Experience in financial services would be beneficial. Has a flexible attitude to work and can work well in a multi-tasking environment;Ability to manage multiple deliverables under tight deadlines.Familiarity with technologies such as Microsoft Fabric, Workday, Copilot, Power Automate (or alternate robotics), VBA and Alteryx, is advantageous, though not essential.In-Office CollaborationWe are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.Full-Time/Part-TimeFull timeWorker Sub TypePermanentJob Family GroupFinanceColumbia Threadneedle is a people business, and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities. We are committed to fostering an inclusive and performance-based culture where everyone can belong, grow, contribute and realise their potential.We appreciate that work-life balance is an important factor for many when considering their next move so please discuss any flexible working requirements directly with your recruiter.Columbia Threadneedle Investments is an equal opportunity employer. We consider all qualified applicants without regard to racial or ethnic background, religion or belief, sex or gender, nationality, genetic information, age, sexual orientation, gender identity, disability, marital status, pregnancy or maternity or any other basis prohibited by law.We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to aid your participation in the application or interview process, speak to your recruiter to discuss how we can support you.SummaryLocation: London, United Kingdom; Edinburgh, Scotland; Swindon, United KingdomType: Full time

Your roleWhat you'll be doingWhat we needFollowing the UK Launch of Corpay Complete, we are seeking a proactive and strategic Sales Enablement Manager to join our UK team. In this role, you’ll be responsible for equipping our sales organization with the tools, training, content, and insights needed to accelerate revenue growth and improve productivity.You will serve as a bridge between Sales, Marketing, Implementation and Customer Support – ensuring our go-to-market teams have consistent messaging, clear product positioning, and the resources they need to deliver value to prospects and customers. This role is central to aligning departments and driving a seamless customer journey.How We WorkAs a Sales Enablement Manager, Corpay will set you up for success by providing:Assigned workspace in Brighton or Swindon office.Company-issued equipment.Formal, hands-on training.Role ResponsibilitiesDesigning and delivering onboarding, training, and coaching programmes to ramp new hires quickly and upskill existing sales teams.Working with Marketing to develop and maintain sales playbooks, pitch decks, battle cards, case studies, and objection-handling guides.Acting as the connector between Sales, Marketing, and Customer Support, ensuring consistent messaging, coordinated campaigns, and feedback loops that improve the customer journey.Partnering with Customer Support to capture client insights, success stories, and common challenges to better equip Sales and inform Marketing campaigns.Driving adoption and optimisation of sales technology (CRM, sales engagement tools, enablement platforms) to streamline workflows and improve pipeline visibility.Analysing sales and customer support data to identify gaps in knowledge, skills, or process; recommending and implementing solutions.Building and executing a scalable sales enablement framework that evolves with business growth in the UK and internationally.Qualifications & Skills3+ years of experience in sales enablement, training, or revenue operations within a SaaS sales environment (ideally fintech, payments, or spend management)Strong understanding of B2B sales cycles, methodologies (e.g., MEDDIC, Challenger, SPIN), and pipeline management.Experience collaborating across Sales, Marketing, and Customer Support to create alignment and drive growth.Excellent facilitation, coaching, and presentation skills – able to engage and motivate sales teams.Proficient with CRM systems (Salesforce preferred), sales enablement platforms, and analytics tools.Ability to create compelling content and resources tailored to different stages of the sales cycle.Strong business acumen and understanding of finance processes (AP automation, expense management, payments).Collaborative mindset with the ability to influence across functions.Benefits & Perks4 x Life insurance.Pension scheme with 5% employer contribution.Private healthcare.25 days holiday (plus holiday buy/sell)Summer socials, team activities and Christmas parties.Access to benefits portal.Employee fuel card.#LI-LM1 #INDPRO-INTAbout CorpayAbout CorpayCorpay is a global technology organization that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments.At Corpay, we are committed to fostering an inclusive and respectful workplace where employees are valued for their diverse perspectives, experiences, and contributions. We believe that diversity, equity, and inclusion strengthen our teams, drive innovation, and support our continued success globally.As part of our hiring process, offers of employment may be subject to the successful completion of pre-employment screening conducted by an authorized third-party provider, in accordance with applicable laws and Corpay policies. Screening requirements may include employment references, identity verification, criminal record checks, financial or sanctions screening, and other background checks relevant to the role and permitted by local law.Notice to Recruitment Agencies and Search Firms: Corpay does not accept unsolicited resumes from agencies or search firms without a valid written agreement in place. Any unsolicited candidate submissions will become the property of Corpay, and no fees will be paid related to such submissions.Learn more about Corpay: Transparency & ComplianceEqual Opportunity EmployerCorpay is committed to providing equal employment opportunities to all applicants and employees. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), gender, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, marital status, genetic information, military or veteran status, or any other characteristic protected by applicable law. Corpay is committed to fostering an inclusive workplace where individuals are respected and valued for their diverse perspectives, experiences, and contributions. If you require reasonable accommodation during any part of the application or interview process, please notify a representative of the Human Resources Department.Use of Artificial Intelligence in HiringCorpay may use artificial intelligence (AI) and other technology-enabled tools to support certain aspects of the recruitment process, such as application screening, candidate assessment, or interview scheduling. These tools are designed to enhance efficiency, consistency, and fairness throughout the hiring process. AI tools do not make final hiring decisions. All employment decisions involve human review. Corpay is committed to the responsible use of AI, including appropriate oversight and safeguards designed to support fair and unbiased outcomes.Candidate Privacy NoticeFor information about how Corpay processes personal information during the recruitment process, please review our Candidate Privacy Notice: .Pay PhilosophyCorpay is committed to fair, equitable, and transparent compensation practices. Compensation decisions are based on objective, job-related factors including skills, experience, qualifications, and market benchmarks. Where required by applicable law, salary or compensation ranges will be included in the job posting or provided prior to the interview process, where required by applicable law. Additional compensation elements such as bonuses, incentives, benefits, or variable pay may apply where applicable.SummaryLocation: SwindonType: Full time

Job Description Developer Have you got what it takes to succeed The following information should be read carefully by all candidates. - Analytics Platform Engineer Up to £95k DOE OR £500-600 Inside IR35 Principal and Senior Level Gloucestershire Onsite Full-time, 37.5 hours per week Active eDV Clearance RequiredWe are seeking an Analytics Platform Engineer to join our team, where you will play a key role in designing, building, and evolving robust analytics hosting platform that supports mission-critical solutions.In this role, you will develop, test, deploy, and enhance platform capabilities, resolve issues within existing analytics services, and provide hands-on engineering support to Data Scientists and MLOps teams working across a range of technologies. You will operate in a dynamic environment with varied and sometimes unfamiliar technical challenges, requiring strong problem-solving skills, adaptability, and a practical engineering mindset to deliver reliable, scalable, and secure solutions that enable data-driven outcomes for our client.The following is a headline list of the type of tasking that the person in this role may be expected to lead / facilitate / support. This list is not exhaustive; rather an outline of responsibilities that may need ownership.In this role, you will: Work on high impact projects focused on cloud migration and data management. Build scalable, secure systems and contributing to the full software development lifecycle. Design, develop, test, and deployment of a new analytic hosting platform. Bugfixes and feature requests for existing mission facing analytics. Engineering support to MLOps engineers and Data Scientists. These are unpredictable and highly variable requirements, potentially using unfamiliar technology, so a flexible style is required.In this role, we are looking for a mixture of the following skills: Python Kubernetes Docker CI/CD basics (Gitlab pipelines) Data science and MLOps knowledge (highly desirable) Spark (highly desirable) Scala (highly desirable) S3 (highly desirable) Graph databases (highly desirable) Elasticsearch (highly desirable) Vector stores (highly desirable) OIDC/OAuth (highly desirable) NodeJS (highly desirable) React (highly desirable) Will be required to hold a higher level of clearance. xsngvjr What we offer: Competitive salary with personal & company bonus scheme, plus business development commission Life Assurance and Private Medical Insurance 28 days holiday (plus option to buy up to 2 extra weeks) Generous pension contributions with access to a personal financial advisor Available Car scheme with Octopus Energy Hybrid and flexible working arrangements Beautiful central Cheltenham offices with parking, flexible workspaces, and comfy lounge areas Always-stocked fridge with drinks and snacks Fun, collaborative team culture with regular social events and parties Opportunities to grow with a generous annual training budget Amazing long-service benefits, including extra holiday, higher pension contributions, retention bonuses, and charitable contributions.

HR & AI Systems Architect UK Remote £85,000 We are looking for an experienced HR & AI Systems Architect to lead the design, integration, and evolution of a global HR technology ecosystem. This is a senior individual contributor position at the intersection of HR technology, enterprise architecture, systems integration, and AI innovation. You'll be responsible for defining architecture strategy, driving modern integration approaches, and helping shape how AI enhances HR processes and employee experiences across a complex global organisation. This role would suit an experienced HR Technology Architect, HRIS Architect, Oracle HCM Architect, or Enterprise Systems Architect with deep expertise in HR platforms and integrations. Role You'll take ownership of the end-to-end HR technology architecture, ensuring systems are scalable, secure, and future-ready. Working closely with HR, IT, Enterprise Architecture, and external partners, you'll influence strategic technology decisions while remaining close to solution design and delivery. Key responsibilities include: • Leading architecture across a complex HR technology landscape, • Defining integration strategies and API-first approaches, • Designing scalable and reusable enterprise integrations, • Establishing architecture standards, governance, and best practices, • Driving HR technology modernisation initiatives, • Identifying and delivering AI-driven solutions and automation opportunities, • Supporting HR data architecture, governance, and analytics capabilities, • Acting as a trusted technical advisor to business and technology stakeholders Skills and Experience • Significant experience in HR Technology, HRIS, Solution Architecture, or Enterprise Architecture roles, • Deep expertise in Oracle HCM Cloud, including architecture, integrations, security, HCM Extracts, Fast Formulas, and configuration, • Strong experience designing and delivering enterprise integrations, • Experience with Boomi or another enterprise integration platform, • Excellent understanding of REST and SOAP APIs, middleware, and integration patterns, • Experience defining architecture roadmaps and technology standards, • Strong stakeholder engagement skills with the ability to influence senior leaders, • Experience working within large, complex enterprise environments Desirable • ServiceNow HRSD, • Eightfold AI or other talent intelligence platforms, • Learning Management Systems (Cornerstone, Absorb, etc.), • Azure cloud technologies, • AI and automation solutions within HR environments, • Power BI or enterprise analytics platforms, • DevOps, CI/CD, Agile or SAFe delivery approaches, • HR data architecture and governance If you have the relevant skills and experience for this role, please apply using the link provided. JBRP1_UKTJ

SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base. The company has a worldwide impact in the marine sector by leading the next generation of maritime domain awareness technologies "MDA", products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners. SRT is an exciting company where high-quality results are rewarded. We are ambitious and constantly seek to innovate in order to deliver better products and services to our customers. We strive to make SRT a rewarding and challenging place to work, where talented, hard-working individuals have the opportunity to make a real impact across the marine industry. This is an exciting opportunity for a Data Visualisation Designer with specialist experience in geospatial data visualisation to help design the next generation of maritime domain surveillance products. This person will create visually striking, highly usable 2D and 3D visualisations that help customers explore large maritime datasets, understand activity patterns, identify trends, and interpret intelligence derived from our data. This is a product design role for custom software, not a business intelligence or dashboard reporting role. The ideal candidate for the role of Data Visualisation Designer combines strong UI craft with cartographic thinking, data visualisation expertise, and an ability to work closely with engineers to turn complex geospatial concepts into elegant,performant, operationally useful product experiences. *Please note - the role of Data Visualisation Designer is a hybrid working role with your office being Bristol. Key Responsibilities - Data Visualisation Designer (not exhaustive): • Design high-quality 2D and 3D geospatial visualisations for maritime surveillance, intelligence analysis and operational decision-making., • Turn complex maritime datasets into clear visual patterns, trends, anomalies, behaviours and insight-led user journeys., • Create wireframes, prototypes, interaction models and polished UI designs for map-led product experiences., • Design visual treatments for vessel tracks, movement histories, density maps, heatmaps, clusters, routes, zones, alerts, sensor coverage and analytical overlays., • Work with product managers, engineers, data scientists and maritime domain experts to understand customer workflows and mission needs., • Define visual systems for geospatial data, including colour, symbology, hierarchy, confidence, uncertainty, severity and temporal change., • Prototype advanced visualisation concepts using tools such as Figma, Kepler.gl, deck.gl, Mapbox, Cesium, D3, QGIS or similar., • Partner with front-end engineers to ensure designs can be implemented effectively in custom web software at large data scale., • Test and refine designs with internal experts and customer users, balancing visual impact, analytical clarity and operational usability. Skills & Experience - Data Visualisation Designer (not exhaustive): • Strong portfolio showing advanced data visualisation, geospatial interfaces, map-based products or complex analytical software., • Proven UX/UI design experience in custom software products, ideally B2B, SaaS, defence, maritime, intelligence, logistics, GIS or another complex domain., • Excellent visual design craft, with strong judgement around layout, hierarchy, typography, colour, interaction states andinformation density., • Good understanding of cartographic design principles, including layers, projections, scale, symbology, spatial relationships and map readability., • Experience designing for large or complex datasets, including aggregation, filtering, clustering, zoom-level behaviour and progressive disclosure., • Familiarity with geospatial and visualisation tools or libraries such as Kepler.gl, deck.gl, Mapbox GL JS, CesiumJS, D3, Three.js, QGIS or ArcGIS., • Ability to design 3D geospatial experiences such as globes, terrain, extruded data, sensor volumes, movement paths or layered operational scenes., • Comfortable working with technical teams and discussing APIs, data schemas, rendering constraints, front-end implementation and performance trade-offs., • Strong grasp of data storytelling and visual analytics: helping users move from raw data to interpretation, insight and action., • Interest in maritime domain awareness, vessel behaviour, earth observation, remote sensing, intelligence analysis or national security use cases. Benefits Package • Excellent salary and package, • Private health care, • Career Development opportunities SRT Marine Systems plc are an equal opportunity employer. We are committed to creating an inclusive working environment for all employees and actively encourage applications from all sectors of the community. JBRP1_UKTJ

Enterprise Information / Data Architect Location: Hybrid, 2-3 days per week onsite in London Rate: £650-£690 per day inside IR35 Clearance: BPSS Required UK Passport Holder We're seeking an experienced Enterprise Information / Data Architect to help shape and deliver the enterprise data strategy for a major transformation programme. This is a senior, enterprise-level architecture role focused on defining target-state data architecture, governance, information models, and data capabilities across a complex organisation. You'll work closely with business, technology, and architecture teams to ensure data is structured, governed, and leveraged effectively to support decision-making, regulatory requirements, and digital transformation initiatives. Key Responsibilities • Define and maintain current and target-state enterprise data architectures., • Develop conceptual, logical, and physical data models., • Establish enterprise data domains, canonical models, ontologies, semantic layers, and metadata frameworks., • Create data architecture roadmaps aligned to business and digital strategy., • Drive data governance, lineage, quality, observability, and master data management initiatives., • Ensure alignment between enterprise data models and solution architectures., • Partner with business and technology stakeholders to define requirements and data strategies., • Contribute to Architecture and Design Authority governance activities., • Act as a thought leader, mentoring architects, analysts, and data teams. Essential Skills & Experience • Strong enterprise-level Information or Data Architecture experience., • Expertise in data strategy, governance, metadata management, ontologies, knowledge graphs, and semantic modelling., • Experience designing end-to-end data architectures across complex organisations., • Strong Azure data platform experience, including Databricks., • Experience delivering large-scale transformation programmes., • Ability to influence and challenge senior stakeholders, including C-suite executives., • Experience within complex, asset-heavy, property, real estate, or similar environments., • Finance transformation experience., • Excellent communication and stakeholder management skills. Desirable Skills • TOGAF, DAMA-DMBOK, or similar architecture frameworks., • Experience supporting AI, advanced analytics, and machine learning initiatives., • Knowledge of SQL and/or Python., • LeanIX, ARIS, or other Enterprise Architecture tooling., • Geospatial data and digital twin experience., • Agile or hybrid delivery experience. This is an excellent opportunity for a senior data architecture professional looking to influence enterprise strategy and drive impactful data transformation across a complex business environment. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website. JBRP1_UKTJ

Oracle Fusion Intelligence (FDI) Architect 100% remote Start: ASAP Contract Inside IR35 Candidates must hold an active SC clearance to join this project. The Role As an Oracle FDI Architect, you will lead the design and delivery of FDI solutions, working closely with both business and technical stakeholders to deliver scalable, secure and effective analytics and reporting capabilities. Key Responsibilities • Lead the architecture, design and implementation of Oracle Fusion Data Intelligence (FDI) solutions., • Define reporting, analytics and data integration strategies across Oracle Fusion Cloud applications., • Work closely with business and technical stakeholders to shape solution design, governance, security and best-practice adoption., • Provide technical leadership across FDI deployments, data modelling and semantic layer configuration., • Lead the development and implementation of dashboard and enterprise reporting solutions., • Support the transformation of existing reporting and analytics capabilities into modern, scalable Oracle Cloud solutions., • Provide architectural guidance and technical expertise throughout the delivery lifecycle. Key Experience & Skills We are looking for candidates with strong experience in: • Oracle Fusion Data Intelligence (FDI), • Oracle Fusion Cloud Applications, • Oracle Analytics Cloud (OAC), • Data analytics and enterprise reporting, • Data modelling and semantic layer configuration, • Reporting and dashboard solutions, • Data integration strategies and architecture, • Enterprise reporting and analytics transformations, • Security, governance and Oracle Cloud best practices, • Working with both business and technical stakeholders at senior level JBRP1_UKTJ

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

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