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At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the team: As part of the Forensics & Integrity Services, our Forensic Data Analytics team provides advanced analytics services to support high profile and sensitive client matters such as real time fraud detection / prevention, fraud investigations, financial crime, disputes, and litigations. Our work involves developing data and analytics solutions to regularly ingest and monitor data to detect regulatory and compliance risks such as fraud, bribery and corruption, money laundering, sanctions breaches, know your customer failings (KYC), price fixing, mis-selling of financial products, employee misconduct, trader, and market abuse (surveillance), and much more. This is achieved by combining deep forensic investigation knowledge with advanced data engineering and data science techniques such as investigative data linking, social network analysis, statistics, machine learning and large language models. Your key responsibilities: • Work with financial services clients, fraud strategy, fraud analytics, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive situations, • Communicate with clients to scope projects and gather requirements, • Highlight and explain the outputs of our analytics to clients in the context of their business, • Be responsible for end-to-end delivery of projects across the full lifecycle - Data extraction, transformation, loading (ETL), analysis, visualisation, deployment and client delivery, • Handle a large amount of structured and unstructured data from a variety of data sources, • Carry out reactive and proactive data analysis of large datasets using a wide range of technologies such as Python, SQL and Power BI., • Supervise the work of junior team members and be responsible for quality control of work products from the team, • Develop algorithms and solutions to detect, respond, prevent, continually monitor and investigate areas of fraud, bribery & corruption, misconduct and financial crime, • Apply analytic techniques to prevent, detect, monitor or investigate potentially improper transactions, events or patterns of behaviour related to misconduct, fraud and non-compliance issues, • Develop supporting material using a suite of visualisation software to clearly present the benefits of the analysis to clients, • Align to various strategic teams in the areas of technology, innovation and business development To qualify for the role, you must have: • Strong academic qualifications with a degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience, • Fraud experience, • Demonstrable proficiency in SQL, Python, Azure data factory and/or Databricks, and Visualization techniques and awareness across other programming languages such as R, C#, JavaScript, • Ability to work independently, manage work products and mentor junior team members, • Strong critical thinking, problem-solving skills, understanding of algorithms and appreciation of working with data, • Excellent communication skills and ability to explain complex analytical concepts to stakeholders from different backgrounds Ideally, you’ll also have: • Domain knowledge of Financial Crime, Market Abuse, Mis-selling remediations, accounting, fraud, bribery and corruption or sector specific knowledge or experience, • Organisational ability, people skills and project management potential, • Previous consulting experience and experience with:, • Relational databases, e.g. SQL Server, PostgreSQL, Oracle, MySQL;, • Data visualisation software: Spotfire, Tableau, or Power BI;, • Azure cloud computing platform;, • Big data technologies such as Spark, Elasticsearch, Hadoop;, • Statistical techniques (regression, clustering etc.);, • Machine learning and pattern recognition;, • Front-end web development e.g. HTML, JavaScript; We are looking for tenacious and curious individuals with a desire to ‘get to the bottom’ of things. You will be intellectually rigorous, with extremely strong analytical skills, have a passion for data, be adaptable and show an ability to build strong relationships. What working at EY offers: We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: • Support and coaching from some of the most engaging colleagues around, • Opportunities to develop new skills and progress your career, • The freedom and flexibility to handle your role in a way that’s right for you About EY: As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we_ are dedicated to making EY the best employer. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Make your mark. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Management Accountant - Content Agency and Publisher \n Fast-growing, medium-sized content agency and publisher are looking for a 1 to 2 years post qualified (ACA, ACCA, CIMA) Management Accountant. Reporting to the Chief Financial Officer, the role is responsible for maintaining an accurate general ledger within the finance system (Sage 200 Cloud) and supporting a robust month-end close process. The role plays a key part in ensuring high-quality financial reporting, strong financial controls, and reliable data across the business. \n The role also supports ongoing finance process and systems improvements, working closely with the CFO and Financial Controller to enhance reporting, efficiency, and control. In addition, the Management Accountant will provide financial insight to support decision-making and help develop junior team members within the finance function. \n Key Responsibilities: \n Financial Reporting & Month-End Close \n\n • Maintain an accurate general ledger in accordance with UK GAAP.\n, • Prepare monthly management accounts, including P&L, balance sheet, and cash flow reporting, and commentary.\n, • Perform balance sheet reconciliations and supporting schedules with analysis, to ensure accuracy and completeness.\n, • Provide P&L variance analysis (actual vs budget/forecast) with clear commentary and insight into key business drivers.\n, • Support the monthly, quarterly, and year-end close processes to ensure timely and accurate reporting. This includes posting journals such as accruals, prepayments, deferrals, banking, and other month-end adjustments.\n, • Maintain the daily cash flow forecast schedule with the support of the wider team.\n, • Assist the Financial Controller and sub-team leaders with reporting on monthly key metrics across the department.\n, • Maintain integrity of the finance system, including chart of accounts, FX processes, subledgers, and reporting structures.\n, • Review and analyse monthly sales commission calculations for accuracy and consistency ahead of payroll processing.\n\n Business Partnering \n\n • Act as a finance partner to the Sales, Marketing, and Operational teams, ensuring accurate and timely financial data flow across the business.\n, • Support stakeholders in understanding financial performance and improving data quality, completeness, and timeliness.\n, • Provide ad hoc analysis, forecasting input, and financial insights to support decision-making.\n\n Tax, Compliance & External Reporting: \n\n • Ensure accuracy and timeliness of VAT returns, corporation tax provisions, and National Statistics submissions.\n, • Support the year end accounts and annual audit process through preparation of schedules, supporting documentation, and resolution of auditor queries.\n\n Financial Controls & Process Improvements: \n\n • Contribute to continuous improvement of finance processes, controls, and systems.\n, • Support enhancements to Sage 200 and wider finance processes to improve efficiency, accuracy, and reporting capability.\n, • Promote best practice and support embedding improved ways of working across the finance function.\n\n Operational Finance Support: \n\n • Support the Accounts Payable, Accounts Receivable, and Credit Control teams to ensure subledgers are accurately maintained and reconciled to control accounts.\n, • Ensure proper allocation of receipts, payments, and transactions, and support cash flow forecasting.\n, • Assist with payroll review and related finance inputs where required.\n, • Undertake ad hoc analysis, reporting, and finance tasks as required by the CFO and Financial Controller.\n\n Skills & Experience: \n Essential: \n\n • Newly qualified accountant (ACA/ACCA/CIMA) or finalist with relevant industry experience in a fast-paced, project-driven environment\n, • Solid working knowledge of UK best practice for core finance processes (AP, AR, GL accounting, banking), compliance, reporting, and systems\n, • Strong analytical ability and commercial awareness\n, • Strong technical accounting expertise, including UK GAAP, VAT, and taxation\n, • Excel skills at intermediate level or above; proficient with vlookups or index match functions and pivot tables as a minimum, and laying out clear working files\n\n Desirable: \n\n • Big-4 accounting firm trained\n, • Creative industry experience - e.g. media, entertainment or travel\n, • Experience with improving finance systems, controls and processes\n, • Systems implementation exposure is a plus\n\n Attributes: \n\n • Enthusiastic and results-driven with a can-do attitude, and calm under pressure\n, • Organised and detail-oriented, with high accuracy and a conscientious approach\n, • Ability to manage deadlines, prioritise workload, and operate effectively in a fast-paced environment\n, • Collaborative team player with a positive and solution-focused mindset\n, • Strong communicator with the ability to engage effectively across all levels of the business\n\n Handle actively welcomes applicants from under-represented backgrounds - we pride ourselves on attracting the best talent for every opportunity through a commitment to equality, diversity and inclusion.

Marketing Executive \n Hunter Hughes Recruitment Services London Area, United Kingdom (On-site) \n \n Marketing Executive - Events & Communication \n £37,000 - £42,000 \n £5,000 bonus per annum \n 25 days holiday plus stats \n Career development opportunity \n \n Our client is a central London based 19-year-old company specialising in the Business of Sport sector. There is an immediate need for a candidate with no less than 3 years hands on experience of involvement in Event delivery which will be supported by graphic design type skills which are subsequently deployed and managed by the candidate within a communications and marketing campaign. They support is for 3 communities: This includes Summits and other event formats ranging in complexity but with the aim of bringing them together to network and access interesting content within a programme of Panels and Workshops. · Commercial Companies: Outreach to companies of all sizes and sectors to recruit them to attend events, to encourage them to join our Membership scheme or use publications. · Sports Property owners: This is in support of team members who are tasked to raise awareness and support them achieve their objectives via the production and distribution of interesting content to raise awareness of their opportunities. · Destinations (Countries, Cities and Venues) they have 800 international destinations who require regular communication in support of the lead for this area. \n Marketing Executive Role \n Communications and Marketing \n The primary aspect of the role is to design supporting content ranging from Web site updates, design of supporting LinkedIn and or Flier type content, simple newsletters and regular email campaigns. Other social media ideas welcome but not typically a main driver. \n \n Leadership of the production of an Annual Journal requires project management of contributors recruited by other team members ready for June 2027. For the interviews, AI was a powerful approach which requires this role to “edit down” and send back for verification. Basic formatting is needed. Post production of this content, it is to be monitored for effectiveness and statistics reported to the team to continuously refine and improve ways of working. \n \n Operation Delivery: they currently run 2 x annual Summits as major milestones to bring their community together. One is in Switzerland and one is in UK. They are complex multi-component tasks requiring significant planning, detailed coordination and liaison prior to delivery. At a pace of every 6 to 8 weeks, they run informal networking and briefings on different themes. Small and more straightforward in nature, they are nonetheless important for market profile and connectivity. \n \n If you are looking for an exciting career as a Marketing Executive and a long term opportunity please get in touch!

We are seeking a Human Resources Manager to contribute to the provision of a comprehensive and high-quality HR service to managers and staff across the group. You will provide advice and guidance to managers, whilst supporting the delivery of service plans and assisting with the achievement of operational targets and objectives. Assisting the Head of HR (Operations), you will provide support with employee relations, including handling grievances, disciplinaries, capability and absence management, ensuring processes are delivered in a supportive and consistent manner, with specific regard to matters that relate to statutory safeguarding. \n Undertaking job evaluations, ensuring adherence with the Group’s job evaluation arrangements, you will support the HR Advisors in conducting induction sessions for new members of staff and co-ordinating the arrangements as necessary. Keeping abreast of changes in legislation, working practices and other external initiatives that may affect the Group, you will assist with the monitoring and review of costs associated with HR functions to ensure that services are provided within the allocated budgets. \n This role would suit someone who has significant experience in an operational HR role, leading an HR team, developing and implementing HR Policies and procedures, and experience of Employee relation casework, including negotiating with ACAS Conciliators and preparing Employment Tribunals. We would like you to ideally have UK and relevant European legislation and associated case law experience. You will hold CIPD or will be working towards gaining your CIPD Level 7. \n With a person-centred approach leading to successful leadership and management of change, you will have an overview of organisation systems and procedures and able to act as adviser to managers and assist them with resolving staffing issues/conduct, absence and sickness management. Able to solve problems and make decisions, you will understand numerical information relating to staff and calculate key statistics and salary costs. \n This post is predominantly based at Merton College but the successful candidate will be required to travel to and work from all South Thames Colleges Group’s sites. \n Closing date for the return of completed applications is 19th October 2026. \n The benefits package includes generous annual leave of 37 days plus up to 8 additional days over Christmas/New Year as well as an additional 5 days Wellbeing leave to enhance employees’ physical and mental health. There is an excellent pension scheme that receives a significant financial contribution from the employer (Teachers Pensions or Local Government Pension Scheme), subsidised sports facilities and professional development and training plus a salary sacrifice cycle to work scheme. \n As part of our due diligence checks on prospective employees, successful candidates will be subject to an enhanced DBS check, satisfactory references, an online search and proof of eligibility to work in the UK. \n As outlined in the Public Sector Equality Duty of the Equality Act 2010, we are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. \n The South Thames Colleges Group is made up of Carshalton College, Kingston College, Merton College and South Thames College, which merged on 1 August 2017. South Thames Colleges Group is one of London’s largest providers of post-16 education and training and is an ongoing and significant contributor to its local communities. We aim to put students’ success at the heart of everything we do. \n We are looking for hard-working and collaborative people who can join our team and help challenge our students to achieve and progress.

Hotel Duty Manager \n The shifts are 630am - 330pm and 3pm to 11pm / 5 out of 7 days including evenings and weekends \n Based in Uxbridge \n £18.57 per hour \n 6 - 12 months \n Main accountabilities: \n\n • Leading by example to develop and motivate the team.\n, • Operate the Opera Hotel Property Management System to effectively manage all guest reservations.\n, • Support completion of month end financial submission.\n, • Recruiting, training and actively managing in house staff to ensure a satisfactory performance is achieved on time.\n, • Ensuring that staff whilst on duty, are working to the standards expected by management and that accurate records on time sheets are recorded for payment purposes.\n, • Must be able to arrange cover or step in should there be a staff shortage on shift\n, • Observe and monitor workers' performance to make sure that company rules and procedures are being followed.\n, • Confer and co-operate with other department managers to co-ordinate hotel activities\n, • Answer questions about hotel policies and services, and resolve customers complaints.\n, • Purchase supplies or services from outside vendors\n, • Inspect hotel for cleanliness and appearance.\n, • Co-ordinate front-office duties and resolve problems.\n, • Greet and register guests.\n, • Collect payment and cash up and record money earned and spent.\n, • Assign duties to workers and schedule shifts to suit the needs of the business\n, • Analyse financial information, create reports to meet the requirements of the business as requested.\n, • Coach colleagues on how to do undertake the duties of their role and motivate them to finish projects, and meet deadlines.\n\n \n Additional Duties & Responsibilities \n\n • Ensuring that customers receive the correct standard of service delivery to the specified standard on time and in a pleasant and polite manner\n, • Be able to advise dissatisfied customers on Customer Complaints procedure and try to rectify problems\n, • Be visible and available to guests in the restaurant, lounge and bar areas during peak service times.\n, • Whilst on duty, ensure that all standard checklists are implemented, used as prescribed and guidance is followed across all areas.\n, • To ensure the cleanliness and checking of public areas and back of house and hotel surrounds are carried out efficiently and that it is clean according to the hotel operating standards\n, • Ensuring that expenditure is kept within budget by careful monitoring and seeking approval for additional expenditure prior to ordering.\n, • Ensuring that the University and hotel's financial procedures are followed.\n, • Ensuring that staff provide you with correct and accurate information to enable payments to be processed.\n, • Aim to achieve maximum occupancy levels in order to maximise income potential and to record the appropriate statistics accurately.\n, • Ensuring that procedures are in place and followed for banking and keeping all takings and monies securely.\n, • Presents a weekly business update to the Head of Hotel and attend a formal monthly financial review.\n\n Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer. \n By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.

As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data & Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing. \n You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands-on role - ideal for someone who thrives on translating data into actionable insight and producing high-quality outcomes. \n Responsibilities \n\n • Deliver data science projects, from problem definition through to actionable insights and presentation of results\n, • Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes\n, • Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formats\n, • Translate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholders\n, • Work with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-making\n, • Support pre-sales and client engagement, helping to demonstrate the value of data insight\n, • Follow best practices in data science, reproducible research, and ethical AI\n, • Collaborate cross-functionally to enhance the company’s products and marketing data solutions\n\n What Success Looks Like in the Role \n\n • Delivery of impactful, high-quality analytics that directly inform and improve client marketing outcomes\n, • Building trust and credibility with clients as an analytical consultant\n, • Regular iteration on our machine learning methodologies, tools, and frameworks\n, • Consistent demonstration of technical excellence and commercial insight in all project deliverables\n, • Measurable contribution to the enhancement of Sagacity’s data science and analytics product suite\n\n Competencies and Experience \n\n • 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy\n, • Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar\n, • Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP\n, • Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering\n, • Strong command of SQL and familiarity with data engineering environments such as Databricks or similar\n, • Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma\n, • Demonstrated ability to translate technical findings into strategic recommendations for non-technical audiences\n, • Commercially aware, with proven success in applying analytics to solve business problems\n, • Strong communicator; able to engage stakeholders and present findings with clarity and confidence\n, • Self-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environment\n, • Willing to travel across the UK for client engagements\n, • Must have the right to work in the UK and a commitment to ongoing professional development\n

\n Director of Data ResearchRemote | £100,000 - £150,000This is a rare opportunity to shape and lead a high-impact Data Research function within a growing data and analytics business. Sitting at the intersection of data science, commercial strategy, and research, you will play a key role in identifying new data opportunities, validating their value, and helping drive the development of innovative data products.The CompanyThey are a fast-growing data and analytics organisation that delivers actionable business insights through sophisticated data products. Working with a range of commercial and investment-focused customers, they combine proprietary methodologies with diverse datasets to uncover meaningful trends and performance indicators.Their success is built on finding unique sources of information and transforming them into valuable insights. As they continue to grow, they are looking for a Director of Data Research to provide technical leadership, enhance research capabilities, and drive innovation across the function.The RoleAs Director of Data Research, you will lead the strategy, execution, and development of the Data Research team. You will work closely with stakeholders across data partnerships, technology, and leadership to evaluate new datasets and identify opportunities for new products and KPIs.Responsibilities include: \n\n • Defining and executing the Data Research strategy in line with business objectives\n, • Leading research initiatives to identify new data sources, metrics, and commercial opportunities\n, • Evaluating new datasets and assessing their quality, reliability, and business value\n, • Applying statistical techniques including time series analysis, hypothesis testing, correlation analysis, and data validation\n, • Developing frameworks and standards for dataset evaluation and valuation\n, • Improving the speed, consistency, and quality of research delivery\n, • Managing and developing team members while fostering technical excellence\n, • Partnering with senior stakeholders to support data acquisition and investment decisions\n, • Driving innovation through the application of data science techniques and emerging technologies\n\n Your Skills & Experience \n\n • Strong experience in Data Research, Data Science, Statistics, or a closely related field\n, • Proven ability to lead complex research projects from hypothesis generation through to actionable recommendations\n, • Expertise in analysing large, complex, and imperfect datasets\n, • Strong statistical knowledge with experience validating data and assessing relationships between datasets and business outcomes\n, • Commercial awareness and the ability to evaluate the value of data investments\n, • Experience leading technical teams and setting high standards for research quality\n, • Proficiency in Python and the ability to review technical work effectively\n, • Excellent stakeholder management and communication skills\n, • Experience within alternative data, investment research, financial data, or similar environments would be beneficial\n\n What They Offer \n\n • Salary of £100,000 - £150,000\n, • Fully remote working environment\n, • Opportunity to shape and scale a growing research function\n, • High levels of ownership and influence across the business\n, • Exposure to complex data challenges and commercially focused research projects\n, • Collaborative environment with strong opportunities for career progression and leadership development\n\n How to ApplyTo find out more about this Director of Data Research opportunity, please submit your application today. \n

Interim Reward Specialist — boutique investment firm. 6 - 8 Month FTC \n C&C Search are working with a boutique investment firm on an interim reward specialist mandate reporting directly into the Head of Reward. Pay review cycles are the core focus, alongside market benchmarking, benefits administration, and shaping a more flexible reward offering. \n Hybrid: 3 days/ 2 days at Home. Completion Bonus \n The brief: \n\n • Pay review cycle delivery\n, • Annual market benchmarking\n, • Benefits administration\n, • Evolving the flexible reward offering\n\n This role will report directly into the Head of Reward. \n Key Responsibilities: \n\n • Annual Reward Cycle\n, • Market Benchmarking - McLagan experience would be beneficial\n, • Benefits and Pensions \n\n Regulatory & Governance: \n\n • Assist with preparation of remuneration governance documentation for Executive Committee and Remuneration Committee (RemCo) meetings.\n, • Support the Head of Reward in maintaining alignment with the MIFIDPRU Remuneration Code, including collation of data and evidence for internal audit and regulatory reporting\n\n Job Architecture: \n\n • Support the firm's activity around job architecture, incorporating pay data into job levels, and supporting the refinement of our corporate title structure.\n, • Maintain relationships with third party suppliers of consultancy, pay benchmarking and benefits.\n, • Support with the production of diversity statistics\n\n Stakeholder Management \n\n • Advise HR Business Partners on reward related activities – transfers, recruitment (including valuation of buyouts), policy\n\n Experience Required \n Workday experience beneficial \n Excellent numerical and quantitative skill \n Similar experience in a financial services environment \n Please reach out to Cathrine McCarroll - for more information.

Our award-winning global SaaS client is seeking an experienced, hands-on Senior Data Scientist covering International (UK and CA) run-the-business analytics and data science. You will be the sole senior owner, keeping revenue visibility, regulatory reporting, and the current model suite running. This role is a 6 Month contract, Hybrid working – potential to extend. \n You will work closely with product, marketing, engineering, business development, compliance, and member support. This role suits an operator who takes over existing BAU and runs it end to end with minimal hands-on support, staying reliable under real deadlines. \n Responsibilities \n\n • Monitor the International revenue baseline across the UK and CA. Investigate anomalies and give early warning on revenue movement\n, • Support partner monitoring and escalations: new offer setup, lookalike and recommender admin, partner click-report fixes, and partner ranking changes\n, • Run email campaign and performance monitoring: anomaly investigation, re-targeting, send-failure triage, and churn-driver analysis\n, • Support experimentation and testing: experiment monitoring, reads, and promotion calls\n, • Represent analytics in forums and business reviews, and translate technical detail for business partners\n, • Maintain the current suite of production models: scheduled refreshes, retraining, and redeploys. Keep models healthy without rebuilding them\n, • Hand over models, pipelines, and reporting with monitoring and documentation to the permanent team at contract close\n\n Skills \n\n • 5+ years of experience in data science and analytics, including running production models and BAU analytics\n, • Strong SQL and Python or R. Comfortable reading and maintaining an existing codebase and pipelines\n, • Hands-on experience maintaining production ML models: refresh, retrain, monitor, and troubleshoot, rather than building from scratch\n, • Working knowledge of Looker, Airflow and Google Cloud\n, • Advanced degree in a quantitative discipline (Computer Science, Mathematics, Statistics, Physics, or similar), or equivalent experience\n\n Benefits \n\n • Hybrid working (3 days in the office)\n, • Award winning work environment\n, • Global Organisation\n, • Free breakfast\n\n

Introduction\n \n \n\n At Gallagher Benefit Services, you’re a trusted partner to organizations navigating some of their most important people decisions. We help clients build better workplaces, where people feel supported, empowered, and inspired to thrive. Whether it’s shaping benefit strategies, designing wellbeing programs, or advising on workforce challenges, the work you do here creates meaningful change for businesses and the people who power them. We’re a community of bold explorers, trusted experts, and compassionate partners; working side by side to solve problems, and shape the future of work. Here, curiosity is encouraged, collaboration is second nature, and your ideas have room to grow. If you’re looking for a place where your contribution matters and where you can help build a better world of work; think of Gallagher.\n\n\n \n\n Overview\n \n \n Are you a seasoned benefits technology professional ready to take your career to the next level? At Arthur J. Gallagher, the world’s third-largest insurance brokerage, we’re on the lookout for a Senior Flexible & Online Benefits Consultant to join our innovative Client Technology team. This is your chance to make a real impact, working with a diverse portfolio of clients while driving new business opportunities. Why Join Us?\n At Gallagher, we pride ourselves on delivering tailored insurance and risk management solutions, and our Client Technology team is at the forefront of transforming employee benefits. This role offers a unique blend of client management (75%) and service delivery (25%), giving you the opportunity to build strong relationships while showcasing your expertise in flexible benefits technology. \n How you'll make an impact\n \n \n As a key member of our team, you’ll: \n\n • Lead Client Relationships: Act as the primary client manager for a portfolio of Gallagher Guide clients, delivering expert advice on flexible benefits scheme design and ongoing management.\n, • Drive New Business: Identify opportunities, attend pitches, and manage the delivery of new propositions and services to expand our client base.\n, • Deliver Excellence: Oversee the production of reports, documents, and communications, ensuring clients receive top-tier advice and support.\n, • Stay Ahead of the Curve: Provide guidance on legislative changes and employee benefit trends, sharing your technical knowledge with the wider team.\n, • Collaborate Across Teams: Build strong relationships with internal teams, offering support and ensuring seamless service delivery.\n, • Enhance Client Systems: Advise on system functionality, suggest improvements, and manage change requests to ensure clients’ needs are met.\n, • Lead Post-Enrolment Reviews: Present take-up statistics, survey results, and lessons learned to continuously improve our services.\n\n About You\n \n \n We’re seeking a proactive, commercially minded professional with: \n\n • Extensive Experience: A strong background in benefits technology and flexible benefits solutions.\n, • Industry Knowledge: In-depth understanding of provider benefit propositions and wider employee benefits services.\n, • Client-Focused Expertise: Proven ability to advise clients on flexible benefits technology and identify cross-selling opportunities.\n, • Exceptional Communication Skills: The ability to build relationships, present ideas clearly, and collaborate effectively.\n, • Attention to Detail: A meticulous approach to managing tasks, meeting deadlines, and delivering high-quality work.\n, • Technical Proficiency: Strong computer literacy and the ability to manage system functionality and testing processes.\n, • Leadership Skills: A proactive mindset and the ability to inspire and support your team.\nWhy Gallagher?\n At Gallagher, we’re committed to investing in our people. You’ll join a supportive, forward-thinking team where your expertise will be valued, and your career will thrive. We offer a dynamic work environment, opportunities for growth, and the chance to work with some of the best in the industry. \n \n If you’re ready to make a difference and take on an exciting new challenge, we’d love to hear from you. \n Compensation and benefits\n \n \n At Gallagher, we believe supporting our colleagues goes far beyond the role itself. For more information, visit our Benefits page. \n\n • Competitive compensation\n, • Comprehensive benefits programs designed to support your well-being \n, • Career development opportunities and ongoing learning \n, • A collaborative, people-first culture with accessible leadership \n, • The opportunity to do meaningful work with global reach and local impact \n\n At Gallagher, we are dedicated to building an inclusive and authentic workplace. If your past experience doesn’t align perfectly, we encourage you to join our Talent Community to stay connected to additional career opportunities. Although this role is listed as full-time, if you’re in a job-share partnership, work reduced hours, or have any other flexible arrangement, please still get in touch. We will also offer reasonable adjustments to the recruitment process if required, so please let us know. \n Gallagher is an affirmative action/equal opportunity employer (Minorities/Females/Veterans/Disabled)

Introduction\n \n \n\n At Gallagher, we help clients face risk with confidence because we believe that when businesses are protected, they’re free to grow, lead, and innovate. You’ll be backed by our digital ecosystem: a client-centric suite of consulting tools making it easier for you to meet your clients where they want to be met. Advanced data and analytics providing a comprehensive overview of the risk landscape is at your fingertips. Here, you’re not just improving clients' risk profiles, you’re building trust. You’ll find a culture grounded in teamwork, guided by integrity, and fueled by a shared commitment to do the right thing. We value curiosity, celebrate new ideas, and empower you to take ownership of your career while making a meaningful impact for the businesses we serve. If you’re ready to bring your unique perspective to a place where your work truly matters; think of Gallagher.\n\n\n \n\n Overview\n \n \n Gallagher Specialty is the brand name for the wholesale broking division of Arthur J. Gallagher & Co. – a division that is headquartered in London and covers territories outside of the United States stretching from the UK to Australia, from Canada to the Caribbean, and from Latin America to Asia, employing more than 6500 staff. \n \n Founded by Arthur J. Gallagher in Chicago in 1927, Gallagher has grown to be one of the leading insurance brokerage, risk management, and HR & benefits consulting companies in the world. With significant reach internationally, our organization employs over 71,000 people and our global network provides services in more than 130 countries. \n \n Gallagher Specialty delivers industry insurance solutions through Lloyd's of London and international markets, creating programs for complex risks. With nearly a century of family-run integrity, our employees prioritise client needs, offering risk management, consulting, and analytics to multinational clients worldwide. \n \n Whether we are addressing the needs of individuals, small businesses or international conglomerates, our people, our technical expertise and our global reach deliver first-class coverage, risk management advice and placement expertise \n \n Exposure Management is a high profile and continuously growing area of the Gallagher Specialty business. The team works closely with the various Gallagher Specialty business units, which includes US Property, International property, Facilities, Natural Resources, Marine, Construction, Financial Lines, along with the Gallagher US Retail as well as various Gallagher retail offices globally, to assist clients in managing their exposure data, using RMS and AIR catastrophe models to ensure clients have the correct cover in the correct locations. The role also involves the visualisation of data and facility catastrophe modelling. \n \n We also work closely with Lloyds and London Market Insurers to provide exposure data and modelled losses on singular and at a portfolio level, which includes binders and facilities \n How you'll make an impact\n \n \n\n • Play a key role in growing the Exposure Analytics and Catastrophe Modelling function within Gallagher Specialty which will involve taking responsibility for delivering Exposure Analytics & Catastrophe Modelling reports (both Moody’s RMS and AIR) for the various business units we work with\n, • Take co-ownership of the flagship multiclass Specialty facility “Evolve”\n, • Present Catastrophe Modelling, Exposure Management and Event response analytics to clients and brokers\n, • Help create new opportunities for the business through the expansion of client and carrier analytics\n, • Perform quality control checks as required on all policies entered the Catastrophe Models across multiple lines of business to ensure data accuracy\n, • Ensure any errors found are rectified and correct before delivery of analytics to stakeholders\n, • Ensure standard operating procedures and minimum data quality standards are adhered to\n, • Ensure internal and external KPI’s and SLAs are met\n, • Develop new initiatives in this exciting, fast-growing and high-profile area of the business\n, • Help train, mentor and develop junior members of staff both in the UK and in India\n, • Manage a team of Catastrophe Analysts in India ensuring modelling best practices are adhered to as well as ensuring quality and time SLAs are adhered to\n\n About You\n \n \n\n • Previous Catastrophe Modelling experience gained at either an Insurer or Broker\n, • Experience should include Property Catastrophe Modelling ideally using RMS Risk Modeler or Risk Link\n, • Excellent knowledge of LMP slips & the Lloyds and London Insurance Market\n, • Educated to degree level in a subject such as Mathematics, Statistics, Geography, Engineering or Meteorology\n, • Professional qualifications such as a DIP CII or ACII or a desire to take them\n, • CCRA qualification is desirable but not essential\n, • A keen interest in data and Natural Catastrophes\n, • Self-Motivated\n, • Good communication and presentation skills\n, • Proactive in finding solutions to problems without waiting to be prompted by others\n, • Good MS office skills particularly Microsoft Excel and ideally Power BI\n, • Knowledge of GIS software such as Arc GIS\n, • Advanced SQL coding knowledge is essential for this role\n, • Python or R programming knowledge is desirable but not essential\n\n Compensation and benefits\n \n \n At Gallagher, we believe supporting our colleagues goes far beyond the role itself. For more information, visit our Benefits page. \n\n • Competitive compensation\n, • Comprehensive benefits programs designed to support your well-being \n, • Career development opportunities and ongoing learning \n, • A collaborative, people-first culture with accessible leadership \n, • The opportunity to do meaningful work with global reach and local impact \n\n At Gallagher, we are dedicated to building an inclusive and authentic workplace. If your past experience doesn’t align perfectly, we encourage you to join our Talent Community to stay connected to additional career opportunities. Although this role is listed as full-time, if you’re in a job-share partnership, work reduced hours, or have any other flexible arrangement, please still get in touch. We will also offer reasonable adjustments to the recruitment process if required, so please let us know. \n Gallagher is an affirmative action/equal opportunity employer (Minorities/Females/Veterans/Disabled)

\n Facilities & Operations Administrator \n \n Job Description \n About the role \n We are seeking an organised and proactive Facilities & Operations Administrator to play a central \n role in the day-to-day operation of our busy parish. Working closely with the Parish Administrator, \n Churchwardens, clergy, volunteers, hirers and contractors, you will help ensure that our buildings \n are safe, welcoming and well-managed, while providing high-quality administrative support that \n enables the worship, mission and community life of the parish to flourish. \n \n This role would suit someone who is highly organised, service-oriented, and comfortable managing \n multiple priorities across administration, facilities, events, compliance, and stakeholder relationships. \n \n The Facilities & Operations Administrator will work collaboratively within the team, while also being able to operate independently, identifying issues, taking initiative and following tasks through to completion with minimal supervision. \n \n Success in the Role \n The successful candidate will: \n • Demonstrate respect for the values, mission and worship life of the Church, with an \n understanding of the importance of supporting ministry and community activities. \n • Ensure church buildings and parish facilities are safe, compliant and well maintained. \n • Deliver a professional, efficient and welcoming experience for parishioners, visitors and \n hirers. \n • Maintain accurate and reliable records, systems and administrative processes. \n • Support the smooth delivery of worship services, pastoral activities and community events. \n • Build positive working relationships with the Parish Administrator, Churchwardens, clergy, \n volunteers, contractors and users of the church's facilities. \n \n Role responsibilities \n Key responsibilities include: \n • Manage the day-to-day operation of church buildings and facilities, coordinating \n maintenance, repairs, contractors, cleaning, and ensuring compliance with statutory \n requirements. \n • Support health and safety management by maintaining compliance records, assisting with \n risk assessments, and coordinating required inspections and certifications. \n • Oversee the letting of church premises, managing bookings, contracts, invoicing, hirer \n relationships, and promotion of facilities to maximise income opportunities. \n • Act as the first point of contact for Parish Office enquiries, maintaining diaries, records, \n databases, and ensuring GDPR compliance. \n • Provide comprehensive administrative support to the Churchwardens and clergy, as \n requested. \n • Coordinate clergy and volunteer rotas, with timely communication to help ensure effective \n delivery of church activities. \n • Provide administrative support for occasional offices, including funerals, memorial services, \n cremations and interments, liaising with families, clergy, funeral directors, the Trustees of \n the Additional Burial Ground and other service providers. \n • Maintain accurate parish records and databases, including attendance statistics, contacts, \n registers, compliance documentation and financial records. \n • Produce and coordinate parish communications, including notices, posters and information \n displays, ensuring consistency with parish policies. \n • Build and maintain positive relationships with colleagues, clergy and volunteers; wider church \n contacts; hirers and potential hirers; and contractors and external service providers, to \n support the effective operation of the parish. \n \n Role requirements \n Essential \n • Excellent organisational and time management skills, with the ability to manage multiple \n priorities and deadlines. \n • Strong administrative skills and attention to detail. \n • Proven written and verbal communication skills. \n • Strong customer service and relationship-building skills. \n • Confidence using Microsoft Office and cloud-based administrative systems. \n • Ability to maintain confidentiality and exercise sound judgement. \n • Ability to work independently while contributing effectively to a small team. \n \n The following experience would be desirable, but not essential: \n • Experience of facilities, premises or building management. \n • Experience coordinating contractors or external suppliers. \n • Experience administering lettings, bookings or venue hire arrangements. \n • Experience working in a church, charity or community organisation. \n • Familiarity with GDPR and records management requirements. \n \n Hours of work \n • 28 hours per week. \n • The role can be worked with some flexibility, although an office presence is required in order \n to fulfil the role requirements. We are open to discussing different flexible working \n arrangements, however – so please ask us if this is important for you. \n • Occasional attendance at Sunday services, funerals or other parish events (including \n evenings/weekends) may be required. Time off in lieu will be provided where appropriate. \n \n About us \n The Parish Church of St John-at-Hampstead (also known as ‘Hampstead Parish Church’) is an active and inclusive Church of England community in north-west London with regular Sunday and weekday services. Our church building and parish rooms are available for hire throughout the week and we regularly welcome clubs, societies, community support groups, and music and drama groups from the local Hampstead community and beyond. \n We have a small and collaborative staff team, including the Facilities & Operations Administrator (this role), the Parish Administrator, the Director of Music and the Director of the Junior Choir. The position of Vicar is currently vacant, and during this period the Churchwardens, Angela Gardner and Nicholas Walser, are responsible for the church’s day-to-day operations, including the staff team \n management, with the support of the Parochial Church Council (‘PCC’). This role offers a unique \n opportunity to help support the parish during an important period of transition as we prepare to \n welcome a new Vicar. The successful candidate will play a key role in ensuring continuity of operations and supporting the life of the parish during this exciting chapter. \n \n Our offer \n • A FTE salary of £30k-£35k per annum, dependent on qualifications and experience \n • A 10% pension contribution, in addition to the salary \n • The pro rata equivalent of 25 days of annual leave, plus public holidays \n \n The offer will be subject to successful completion of necessary safeguarding procedures. \n \n Diversity, equity and inclusion \n We welcome applications from people of all backgrounds and are committed to creating an inclusive and supportive working environment. We seek to ensure that all applicants are treated fairly and with respect throughout the recruitment process. \n \n To apply click "Fast Apply" with a covering letter and a copy of your CV by 25 October 2026. \n \n If you require any additional information or support before applying for this role, please email us and we shall be happy to help. \n \n

Employer Relations Advisor - Onsite - Wembley - Monday to Friday- Our client, based in Wembley is recruiting for a permanent employee to be welcomed into their team ER Advisor is a pivotal role in our People and Culture team where you will play a key role in providing support and administration to managers on P&C related matters across the business along with supporting the People and Culture Generalist and People and Culture Manager. To provide guidance, support, and coordination in the consistent and effective application of HR policies, procedures and practices of the People and Culture department in line with employment legislation and British Security standards (BS7858). Managing sensitive and confidential matters and protecting the security of information, data and files. Duties and Responsibilities Lead on any ER related correspondence Lead on Transfer of Undertakings (TUPE) process for all sites Support with note taking at ER meetings for example, investigations, probations, disciplinary, grievance meetings, etc. Processing and ordering uniform allowance requests Dealing and processing employee portal queries Responding and supporting to queries within the People and Culture mailbox Making sure all employee change of details are processed Administering the leaver process for all employees SIA chasing and updates – ensuring all individuals renew their SIA licences in a timely manner Supporting and processing all types of family leave (maternity, paternity, adoption) Following and administering the absence process Supporting the Long-Term Sick employees through welfare calls and Occupational Health referrals Ensuring all Return to Works meetings are completed and filed correctly Maintaining electronic filing system for company personnel files Monitor and action employee’s visa/work permits on a regular basis using the applicable HR tracker Carry out Home Office checks where applicable Arranging DBS (CRB) checks as and when required by Clients Support the department with any Audits (ACS, ISO, NSI) Sending reminders and following up with all interim and full-term probation reviews Support with the Advice & Counselling process Support with maintaining all Training ensuring this is administered through iHASCO portal, First Aid courses are booked, and everything is tracked correctly Administer the SIA reimbursement process Ensure all employees hold an ID card, and reissuing expired cards Process all loans/advance requests, ensuring the correct approvals are sought before processing Administering eye care vouchers for DSE users Processing CVF’s (pay increases) and EVFs (contract variations) Processing and supporting with the SIA watchlist on Fridays Accountable for monthly payroll process for all employees Statistical Information Provide insights and compile relevant ER statistics for monthly Board reports (for example: TUPE, redundancy and restructures, investigation, disciplinary, appeals, grievances, client removals, absence, etc) Maintaining statistical information including accuracy of information On-boarding/ Recruitment/ Audits Support the People and Culture Assistant and People and Culture Manager with security screening and recruitment as and when required Understand the BS7858 standard and screen in line with this Customer Relations create and maintain a sound working relationship with colleagues, the management/operations team and across the Company as a whole Liaising with other departments and with Company clients as and when needed Ensure adherence to the Company’s HR policies and procedures and providing guidance where necessary Experience/Knowledge Previous ER experience * intermediate Microsoft Office knowledge: Word, Excel, PowerPoint, Email

In Work Support Worker \n Pay: £15 p/h \n Hours: Casual contract with varied hours \n Contract Period: Various - Dependant on role \n Location: Various locations in London \n About the Employer \n The organisation was founded in 1979, and is one of London’s leading Disabled People’s Organisations (DPOs). As they believe in the Social Model of Disability, their values and principles embrace inclusive and accessible ways of working, seeking co-production and co-design from their Disabled members and encouraging and respecting diversity. \n They are a medium sized charity with a Board of Trustees, 24 staff, a strong pool of casual staff and volunteers, including many with lived experience of disability – all of whom are passionate about removing the barriers faced by Disabled people. \n The charity provides four key services: Youth, Employment, Welfare Benefits, and Independent Living. \n The Employment Service \n This charity's Employment Service is setting the agenda for disability employment across London with great results. They are at the forefront of setting up and delivering supported internships for Disabled young people. They provide an holistic service from management and employer engagement to hands-on, supervised support work across all sites. \n This Employment Service welcomes external referrals and offers support for Disabled people via their in-work support service. \n They are now looking to recruit several support workers to expand their pool. \n The Post \n The purpose of the job is to provide face to face support work and guidance to Disabled people within their workplaces. The post holder will provide the necessary support and encouragement to enable them to be successful, which will lead, eventually, to independence. The post holder will also work closely with, and take guidance from, their supervisor within the organisation. They will work closely with the employer of the Disabled person to ensure the employer has the skills and confidence to manage and train their intern/employee. \n Main duties and responsibilities \n\n • To work face-to-face with individual Disabled people, under the guidance of their Supervisor, in accordance with their personalised support plans\n, • To be fully cognitive of the workplace of the Disabled person to identify the requirements of key tasks\n, • To follow bespoke Support Plans plans which will enable the Disabled person to fulfil their role to meet the requirements of the employer\n, • To provide weekly feedback to their Supervisor to ensure continued progression, identifying new areas in need of support, and advising on the amendment of support plans accordingly\n, • Together with their Supervisor, to plan, discuss and implement a timely reduction of support as and when the Disabled individual becomes familiar and competent with their role\n, • To negotiate note disability-related reasonable adjustments required for individuals and feedback to their Supervisor\n, • To liaise with managers to discuss individual progress, respond to issues and implement next steps\n\n Organisational responsibilities \n\n • To work in accordance with the charity's Aims, Objectives and Values\n, • To comply with all organisational and departmental procedures\n, • To ensure safe, fair and responsible working practices, specifically Health & Safety, Equal Opportunities, Safeguarding and Confidentiality policies\n, • To promote the work of the charity and the Social Model of Disability\n, • To keep accurate records and provide monitoring statistics and evaluation information as required for internal and external purposes\n, • To participate in, and actively contribute to, individual Supervision, training, team and organisational meetings\n, • To work flexibly, being prepared to perform other duties commensurate with the role, which may include new areas of operation\n, • Any other task as directed by management\n\n Person Specification \n Successful applicants must be: \n\n • Professional\n, • Positive\n, • Motivated\n, • Dependable\n, • Flexible\n, • Patient\n, • Empathetic\n\n Essential \n\n • Successful applicants must have:\n, • Experience of disability\n, • Experience of training, education or employment support delivery\n, • Maths and English to GCSE Grade C or equivalent\n, • Be willing and able to undertake any specific training required for the role\n, • An understanding of the needs of employers and ability to articulate the benefits of having a diverse workforce in businesses\n, • An understanding of the Social Model of Disability and its practical application\n, • Ability and willingness to learn and carry out a variety of employment tasks to support the Disabled person\n, • Evidenced experience of success in building strong and positive relationships with a variety of people and organisations\n, • Demonstrable problem-solving skills and experience\n, • Excellent interpersonal skills with a diverse population\n, • Good organisational skills with an ability to keep accurate records\n, • Good IT skills, including Microsoft Word, Excel, Outlook, Powerpoint and the internet\n, • Be willing and able to travel easily within London\n, • To be available for work at unsocial hours according to the demands of the work (occasionally)\n\n Desirable \n\n • Support Work qualification or equivalent is preferred but not mandatory\n, • An understanding of pan disability and employment\n\n Deadline: Ongoing. This employer recruits for this role on a rolling basis with regular interview days. \n Interested? \n To find out more information, please click the apply button. You will be taken to a simple CHM Recruit form and then redirected to complete your application for this position. \n As a Disability Confident Employer, this employer actively encourages applications from Disabled people and people with long term health and mental conditions. \n This charity is a Living Wage Foundation registered employer and all of their employees, casual workers and contractors are paid above the London Living Wage. \n N.B: This employer is not able to offer sponsorship for this role. \n No agencies please.

Cover Coordinator Barnet School ASAP until Summer 2027 PURPOSE OF JOB To be responsible for the management of the school's cover on a daily basis. This includes the deployment of the school cover supervisors, supply teachers and agency teachers. To lead on and be responsible for the duty rotas for school breaks and lunch to ensure the safety and well being of pupils, visitors and staff. To ensure administrative duties to include typing of documentation, inputting and extraction of statistics from the school's databases, and all communications are carried out to a high standard and where necessary meet set deadlines. Staff Cover To deploy the cover supervisors to ensure lessons for absent teachers are covered throughout the school day. Respond to queries including the need for emergency cover throughout the school day To manage the recruitment process for cover supervisors, supply staff and agency staff Update and maintain the sessional tab in the school's SCR (Single Central Record), reporting any concerns to the HR Manager To organise cover for absent teaching staff using SIMS/NOVA T, including sourcing external supply staff where necessary to ensure sufficient classroom staffing. This will include authorising agency invoices and completing online agency timesheets if necessary and/or signing supply timesheet forms To maintain a teaching supply list, including sourcing new staff to ensure sufficient, quality staff are available when required To monitor the 'report' systems for absences of staff (i.e. phone line and absence request forms) on a daily basis and the diary of events, planning cover in advance, wherever possible, to ensure sufficient cover is enlisted To manage the cover rota (teaching staff) to ensure that 'extra' cover duties for absent colleagues are apportioned fairly across all teaching staff To take a primary role in the recording and notifications of records regarding absence and cover. Recording all absence on the Schools Management Information System (SIMS), coordinating the electronic school diary and producing reports on absence for school management and Governance To be responsible for emergency cover throughout the day including room changes if required To make decisions regarding the most appropriate person to cover particular absences On a daily basis to liaise with the SLT member responsible for the curriculum to ensure communications with the Senior Leadership Team on matters regarding cover, thus allowing the curriculum needs to be met To maintain the school's cover board spreadsheet on a daily basis To be responsible for administrating and managing the schools internal room booking system, to include managing staff accounts Adding sickness absences onto Access and SIMS Duty Rotas To devise, co-ordinate and manage a staff rota for duty staff ensuring that all lunch, breaks and other duties are adequately covered in the event of staff absence Update and manage the School Duty Calendar Send calendar invites to staff for duties Administration Update and manage the School Outlook Calendar Develop and maintain manual and computerised records / management information systems for all aspects of cover, duties and absence Ensure that all administrative activities are carried out in accordance with school policy and procedures Provide detailed analysis and evaluation of data and produce reports / information as required relating to absence, cover and duties Provide reports to monitor staff attendance via the schools Inventory system Provide administration support to the HR/Office manager to include updating centralised documents, assisting with the staff recruitment process Provide cover for reception duties to cover lunch times, ill health and other absences Approving trips on Evolve and adding to the diary Monitor and logging orange forms for trainings onto the diary Access HR - gatekeeper of absences and logging them onto the diary. Making sure there is not a lot and no more than 3 teachers out Room bookings (yellow forms) - to add room bookings onto SIMS or room bookings Timesheets - to complete at the end of each week one for agency staff and separate spreadsheet for supply staff that may have come in which includes information such as days they came in, daily rate and their agency. SP index - social media check for new staff Responsibilities Comply with and assist in the development of related policies and procedures relating to child protection, health, safety and security, confidentiality and data protection, reporting all concerns to an appropriate person Be aware of and support difference and equal opportunities for all Contribute to the overall ethos / work / aims of the school Develop constructive relationships and communicate with external agencies/professionals Share expertise and skills with others Attend and participate in meetings as and when required

Data Scientist (Fixed Term Contract) Contract Details: Contract Type: Fixed Term Contract Contract Length: 12 months Working Pattern: Full Time Daily Rate: £600 to £750Our client, a leading player in the retail industry, is seeking a talented Data Scientist to join their dynamic team on a fixed-term contract basis for 12 months. This is an exceptional opportunity to leverage your expertise in machine learning and statistics to drive impactful data science solutions that enhance customer experiences and optimise business operations. Role Overview: As a Data Scientist, you will be at the forefront of developing and deploying machine learning models that directly influence decision-making processes, customer service, and overall business performance. Your work will involve: Designing and implementing robust machine learning models and data pipelines. Experimenting with innovative approaches to translate complex business challenges into actionable data science solutions. Evaluating model performance through rigorous statistical analysis and assessing business impact. Collaborating closely with Machine Learning Engineers and Software Engineers to ensure seamless integration and adherence to best coding practises. Engaging with stakeholders across the organisation to communicate complex ideas in a clear and compelling manner, highlighting how data science can drive significant improvements.What Our Client Is Looking For: The ideal candidate will possess: A solid foundation in machine learning, statistics, and programming. A curious intellect, critical thinking skills, and a scientific mindset focused on achieving business impact. Proven experience in translating challenging business problems into effective data science solutions while communicating findings to both technical and non-technical audiences. Extensive proficiency in Python and experience working with large-scale data in distributed computing environments. Strong knowledge of coding practises, including version control and testing. The ability to thrive in an ambiguous environment, taking ownership from problem scoping through to delivery while effectively engaging stakeholders. Experience in marketing, personalisation, recommendation systems, optimisation, or adaptive experimentation would be advantageous. This is an exciting opportunity to make a significant impact within a vibrant team that is dedicated to pushing the boundaries of data science in the retail sector. If you are passionate about using data to transform customer experiences and drive business success, this role is perfect for you. How to Apply: Interested candidates are encouraged to apply promptly, as this role is expected to attract high interest. Please ensure your application highlights your relevant experience and showcases your passion for data science. Take the next step in your career and contribute to meaningful change in the retail landscape with our client! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. We use generative AI tools to support our candidate screening process. This helps us ensure fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention

Debt Recovery Officer Brent £26.44 per day Full Time – Hybrid Working Job Purpose: The post holder is required to recover and enforce collection for debts including Council Tax, Parking and Road Traffic, Housing Benefit Overpayments, Adult Social Care, Sundry Debt and/or any debt recovery portfolio managed within the Council. To recover all debts in an efficient and objective manner, giving absolute attention to the financial interests of the Council in terms of all revenue and debt streams, ethical debt recovery policy. Ensure that all debt is collected in accordance with prevailing legislation, case law and local policy To provide advice, information and assistance with enquiries, relating to the collection of debt, resolution of service requests, complaints, subject access requests, freedom of information and other complex or specialist areas of casework as required based on service priorities. Principal Accountabilities and Responsibilities: Use a variety of debt recovery techniques to enable successful recovery of all debts and minimise financial and/or subsidy loss to the Council, demonstrating sensitivity to the financial constraints clients may face balanced with the financial interests of the Council Take ownership of debt cases, making arrangements, pursuing payment, taking cases through the debt recovery process. Maintain debt cases and produce, interpret, maintain and analyse reports, spreadsheets to meet individual, team and council wide statistics. Acting as the first point of contact within the recovery and enforcement team, maintaining professional communications with internal and To find out more information please contact Recruitment is done in line with safe recruitment practices. We are an equal opportunity agency

SCIENCE TEACHER REQUIRED FOR SEPTEMBER 2026 TEMPORARY, FULL TIME SALARY: MPR + OUTER LONDON ALLOWANCE LONDON BOROUGH OF HARROW Experienced Science Teacher - Harrow - Sept - 2026 | Harrow, NW London Experienced Science Teacher | | Harrow, NW London | Sept 2026 start | Science Teacher Are you a knowledgeable Science Teacher, with great knowledge and experience working alongside the UK Curriculum this is the role for you. If you're looking for a new career move or start, this is the role for you. (Please read the statistics before applying) STATISTICS: * Harrow, NW London located, secondary school * MPS/ UPS * Full time, Long term Science Role * Local bus routes & overground station * Sept 2026 start THE SCHOOL: Surrounded by local transport, bus routes and local amenities this school is in the centre of Harrow, with access to the overground and other tube links into London. The chosen candidate will be joining a school with a lot to offer. * Strong department Lead * Bright classrooms with new modern facilities and high-tech science labs * opportunity to grow with CPD and internal promotions (Most staff have been promoted within 12months) * Parking on school grounds and local transport available WHATS NEEDED TO APPLY: * Minimum requirement, a QTS (Qualified Teacher Status) * Min 2 years' experience teaching the UK Curriculum * A commitment to the school and pupils is essential * A focused and results-driven teacher would fit well into this school

ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experienceProficiency in software engineering with Python, including experience with production ML infrastructure (model serving, data pipelines, evaluation frameworks)Familiarit

Required qualificationsMaster’s or PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience)Significant experience in data analysis, business intelligence, or analytics rolesProficiency in SQL and Python for large-scale data analysisAdvanced exper

Additional Preferred Qualifications: Bachelor's degree in Finance, Financial Engineering, Statistics, Quantitative Finance, Computer Science, Mathematics, Economics, or a related field Self-starter with the ability to work independently and collaborate effectively across diverse teams. About t

Basic qualifications- Master's degree or above in Math, Statistics, Computer Science, or related science field- Experience in a ML or data scientist role with a large technology company- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that aff

Collate and review Business / Contract Quality statistics in a timely manner and submit to the Quality Management and Quality function for reporting purposes. Establish and promote best practice in quality matters in conjunction with the Quality function. Your Profile4 years experience in a Quality/

Major in finance, statistics, quantitative economics or another degree emphasising data analysis preferredBonus points if you have:Familiarity with BI & Sales tools such as Nexus, Claude, Gemini, Tableau, Salesforce and Qlik products and development (QlikView and Qlik Sense)Experience working in onl

Entity: Technology Job Family Group: IT&S Group Job Description: Equal Opportunity Employer bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are essential to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. Role Summary We are looking for a Senior Data Scientist who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production-grade ML and AI systems. This role goes beyond traditional ML engineering. You will apply machine learning science as a core field — developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions that transition seamlessly from research to production and create measurable value. You will work as part of a cross-disciplinary team alongside data scientists, software engineers, data engineers, and domain authorities — translating complex scientific and business problems into deployable ML products. Key Responsibilities • Design, build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing, monitoring, observability)., • Apply machine learning science to develop novel algorithms and models that are deployed as reliable, scalable products — not limited to experimentation but extending through to production delivery and operational use., • Build impactful ML products demonstrating statistical modelling, deep learning, and AI techniques across operational, scientific, and R&D domains., • Translate complex scientific and business problems into well-scoped ML solutions, delivering actionable insights and deployable capabilities., • Architect and optimise ML systems for performance, scalability, and reliability in production environments., • Collaborate closely with data scientists, data engineers, software engineers, and domain authorities as part of cross-disciplinary teams., • Adhere to and advocate for engineering and data science guidelines (technical design, design reviews, unit testing, monitoring & alerting, code reviews, documentation)., • Present technical results, trade-offs, and product outcomes to peers and senior partners., • Actively supply to improving developer velocity, engineering standards, and shared tooling., • Mentor junior team members and chip in to the technical growth of the wider team. Qualifications Essential • MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline)., • Hands-on experience designing, prototyping, productionizing, maintaining, and scaling ML/data science products in complex environments., • Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques — with a track record of applying these to build production-grade solutions., • Applied knowledge of data science and ML tools across all stages of the data and model lifecycle., • Thorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing., • Strong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++)., • Advanced SQL knowledge., • Experience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring., • Knowledge of experimental design, analysis, and scientific methodology., • Customer-centric and pragmatic mentality with a focus on value delivery and swift execution, while maintaining rigour and attention to detail., • Strong partner management and ability to influence across teams and organisations., • Continuous learning and improvement mentality. Desired • Experience with big data technologies (e.g. Hadoop, Hive, Spark)., • Experience with generative AI, LLMs, or retrieval-augmented generation (RAG)., • Exposure to Agentic AI concepts, including autonomous agents, tool use, and orchestration frameworks., • Experience applying machine learning and AI to scientific or R&D workflows — with emphasis on building deployable ML products from scientific research (e.g. simulation, optimisation, physics-informed models)., • Familiarity with model interpretability, uncertainty quantification, and advanced experimental methodologies., • Consistent track record of publications, invention disclosures (IDFs), or patents in machine learning or AI., • No prior experience in the energy industry required. What We Offer • Competitive compensation and benefits package., • Opportunity to work on innovative ML and AI problems at global scale., • A culture that values scientific rigour, engineering excellence, and continuous learning., • Hybrid working arrangements and a commitment to work-life balance., • Career development pathways in a world-class technology organisation. Please note that the business title for this role, which will be reflected in the employment contract, is Senior Machine Learning Engineer. Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more} . Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Our Reinsurance Broking client is seeking an experienced Senior Reinsurance Technician to support a portfolio of complex Treaty Reinsurance business. Are you the right candidate for this opportunity Make sure to read the full description below. This is a Senior Technical position that combines specialist processing expertise with mentorship and exceptional client service. Working closely with Brokers, Clients and Reinsurers, you will process a complex portfolio of Treaty business while ensuring a high standard of service and technical accuracy throughout the transaction lifecycle. Also as a key referral point for less experienced colleagues, you will work alongside other Senior Technicians to support the development of the wider team while ensuring the delivery of a first-class service to clients and trading partners. Key Responsibilities of the Senior Treaty Technician role includes: Manage end-to-end technical processing activities across proportional and excess of loss business. Support Treaty accounts across complex reinsurance programmes. Process premiums, pro-rata settlements and claims transactions accurately and efficiently. Prepare and issue client and market documentation. Liaise with Brokers, Clients and Reinsurers on technical processing matters. Maintain account statistics and support portfolio reporting activities. xrnqpay Provide guidance and support to less experienced colleagues, acting as a trusted technical referral point. To be a successful Senior Treaty Technician you will have: Experience handling complex Treaty reinsurance business Excellent technical knowledge of London Market systems, including IMR, CLASS, ECF and LORS The ability to resolve complex or unusual technical issues and implement practical solutions Strong Excel skills, able to analyse and maintain account and portfolio data Ability to build and maintain excellent business relationships with colleagues, clients, reinsurers and other market partners

Maths Academic Mentor | Southwark Read the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required. Are you a high-achieving Maths graduate interested in helping secondary school pupils improve their academic performance? A secondary school in Southwark is seeking a Maths Academic Mentor to provide targeted support across KS3 and GCSE, helping pupils strengthen their subject knowledge and prepare for examinations. This role is particularly suited to a graduate considering Teacher Training or a future career in education. You will work alongside the Maths department to identify gaps in pupils' understanding, deliver focused interventions and help students become more confident when approaching mathematical problems. Maths Academic Mentor | Southwark What the school can offer a Maths Academic Mentor: £500–£550 per week. Experience supporting secondary pupils in Mathematics. Opportunities to deliver one-to-one and small-group interventions. Guidance from experienced Maths teachers. Exposure to GCSE teaching, assessment and revision strategies. The chance to develop classroom management and communication skills. Relevant experience for future Teacher Training applications. Your responsibilities will include: Supporting pupils across KS3 and GCSE Mathematics. Delivering targeted interventions to address gaps in understanding. Helping pupils develop confidence with algebra, number, geometry and statistics. Supporting examination preparation and revision. Breaking down complex mathematical concepts into manageable steps. Identifying areas where pupils need additional explanation or practice. Working with Maths teachers to monitor pupil progress. Encouraging pupils to develop problem-solving skills and independent learning habits. The successful Maths Academic Mentor will: Hold a 2:1 or above degree in Mathematics or a related subject . Have strong A-Level results, ideally including Mathematics. Have excellent numerical and analytical skills. Be confident explaining mathematical concepts clearly. Be able to motivate pupils who lack confidence in the subject. Have strong communication and interpersonal skills. Be interested in pursuing a career in teaching or education. If you are a Maths graduate looking to apply your subject knowledge in a school setting and gain practical experience before pursuing Teacher Training, this Southwark opportunity could be an excellent starting point. Ribbons & Reeves are London's leading Education Recruiters. We specialise in helping educators of all levels secure long-term and permanent roles, such as this 'Maths Academic Mentor' role, in Southwark. xrnqpay For other roles like this, check out our website, search 'Ribbons & Reeves' . We look forward to supporting you in your application to this Maths Academic Mentor role. Maths Academic Mentor | Southwark | INDSUP

This job is with S&P Global, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Grade Level (for internal use): 05 The Impact: At S&P Global, our values - Discovery, Integrity, and Partnership - shape how we work, how we collaborate, and how we earn trust with our customers and each other. We embrace AI as an enabler, guided by rigorous governance and risk management, to enhance what has always defined us: the intelligence of our people, deep relationships, and trusted insights. By leveraging technology with human expertise, we help our teams navigate complexity and deliver actionable, decision-ready intelligence without compromising quality, accountability, or integrity. What You Stand to Gain: At S&P Global Ratings, you will contribute to independent credit opinions the market relies on, strengthened by innovation that accelerates analysis. We are People Forward. When you join S&P Global, you'll benefit from: • Joining a diverse community where your growth and well-being come first-just like the 35,000+ colleagues who choose S&P Global every day., • Bringing your best self to work in an environment that values inclusion, collaboration, and authentic engagement., • Celebrating your achievements with us. We're committed to your continuous learning, offering education, training, and career coaching to help you grow and adapt in a changing world., • Connecting through our People Resource Groups, which foster awareness, engagement, and a sense of community-both within S&P Global and beyond. Program Overview: When you join S&P Global Ratings, you join one of the world's leading providers of independent credit risk research and benchmarks. You are part of a team that produces high quality fundamental research and ratings based on established criteria and benchmarks. The Business Practice Groups include: Corporates, Public Finance, Financial Institutions, Structured Finance, Sovereign and International Public Finance, and Infrastructure. The opportunity provides the chance to embark on a dynamic 10-week summer training and development journey that begins in June 2027. Our program offers unparalleled opportunities for growth, learning, and collaboration. • You will be offered the opportunity to assist S&P Global in achieving its mission of being a the leading provider of the high quality risk evaluations and analytical insights to the world's financial markets., • Summer interns will gain a thorough introduction into fundamental credit analysis, working with analytical teams within S&P Global Ratings (including ratings committees and management meetings)., • You will also complete a group project for the duration of the summer program and have the opportunity to collaborate with peers and present your research and conclusions to a group of senior leaders., • At the end of our internship program interns have the opportunity to be considered for our 2028 CREDit graduate program.To get a sense of what our CREDit graduate program entails, please see a video _ providing an overview of one of our current CREDit graduate's experience. Laura made this video in conjunction with her university; IE University. Responsibilities: Team Contribution & Capability Building • Support the team in deal execution and various analytical projects, contributing resourceful ideas in collaborative discussions., • Build capability by working with assigned summer intern project teams to successfully complete and present findings and conclusions to senior leaders. Core Analytical & Delivery • Build capability in credit rating methodologies by learning and understanding standard techniques., • Support analysts by providing timely and accurate quarterly financial statistics and data analysis., • Support and help maintain high-quality research, presentations, reporting, and modelling., • Use AI technologies as an enabler to analyze large datasets and derive actionable insights, integrating them into existing analytical frameworks. Stakeholder & Market Engagement • Assist with preparing rating committees and issuer management meetings to help produce clear narratives for engagement., • Understand the importance of cultivating a customer-oriented, solutions mindset and observe and learn from service excellence in action. Risk Management and Operating • Apply confidentiality, documentation, and governance requirements., • Support pilot/testing under supervision and within defined guardrails. What we're looking for: Basic Required Qualifications Education • Postgraduate & Undergraduate students in their penultimate year of study only., • We welcome candidates from traditional finance disciplines e.g. Accounting, Business Administration, Engineering, Economics, Finance, Math, Public Policy, Quantitative Analysis, Data and Statistics. This is as well as diverse academic backgrounds that support innovative and critical thinking and storytelling e.g. Engineering and Sciences, Philosophy, Politics, Classics, Theology, English Language, English Literature and Languages., • You must reside in the location of the internship throughout its entire duration., • You must have the right to work in the country of proposed employment. Team Contribution & Capability Building • Collaborative, dependable teammate who manages priorities well and communicates clearly., • Problem-solving, time-management, attention to detail and organizational abilities., • Learning mindset comfortable adopting new tools to enhance quality., • Able to learn quickly, multi-task and work in a fast-paced environment. Core Analytical & Delivery • The ability and the desire to learn to conduct your own analysis and research, showing initiative and resourcefulness., • Strong spreadsheet skills; willingness to learn data/automation tools to improve reliability and consistency, not just speed., • Adept with Excel and other Microsoft Office products (Word, Outlook, PowerPoint)., • Familiarity with AI technologies or tools, including Machine Learning Algorithms, Natural Language Processing Tools, and/or Robotic Process Automation, reflecting a forward-thinking approach. Stakeholder & Market Engagement • Effective written and verbal communicator, able to present research and analysis in a clear, structured way that supports informed decision making., • Solutions-oriented mindset to provide service excellence to internal and external stakeholders. Risk Management and Operating • High standards for accuracy, traceability, and quality control aligned to Integrity., • Responsible technology use following policies, protecting confidential information, ensuring AI outputs are verified and appropriately attributed so insights remain trusted. Additional Information • Fluent command of English Language is essential, as is being fluent in the primary language of the country of application., • Employees are required to work from the office a minimum of two days per week., • Candidates who reach the final stage of the interview process will be asked to attend at least one in-person interview at their nearest S&P Global Ratings office before an offer can be extended. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit _ What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: _ Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. S&P Global has a Securities Disclosure and Trading Policy ("the Policy") that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy's requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: _ and your request will be forwarded to the appropriate person. US Candidates Only: _ ----------------------------------------------------------- 203 - Entry Professional (EEO Job Group) (inactive), 20 - Professional (EEO-2 Job Categories-United States of America), RATNGS203 - Entry Professional (EEO Job Group)

This job is with Novartis, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Associate Director / Director Biostatistics #LI-Hybrid Location: London, UK This role is based in London, UK. Novartis is unable to offer relocation support for this role. Please only apply if this location is accessible for you. Biostatisticians at Novartis transform data into evidence that informs decisions across the product lifecycle and supports access to innovative medicines. We are seeking an Associate Director/Director, HTA Biostatistics, to provide strategic statistical leadership for Health Technology Assessment, pricing and reimbursement and market access activities. The role will partner with International Value & Access, Health Economics and Outcomes Research, Medical Affairs, Clinical Development, Real-World Evidence, and external experts to deliver scientifically rigorous and payer-relevant evidence. The Associate Director/Director will help advance Novartis HTA capabilities, support reimbursement dossiers in Novartis key markets, and contribute to the Joint Clinical Assessment dossiers as outlined in Regulation (EU) 2021/2282. Major accountabilities: • Provide strategic statistical leadership for HTA, pricing and reimbursement, market access, and integrated evidence-generation activities across assigned programs., • Partner with cross-functional and cross-regional teams to ensure HTA evidence is scientifically rigorous, decision-relevant, and aligned with intended use., • Lead the implementation of efficient HTA methods. Demonstrated hands-on experience with population-adjustment methodology and evidence synthesis. Ability to select, implement, critique, and defend methods under payer scrutiny., • Advanced practical experience in several additional methods relevant to HTA, such as survival extrapolation, treatment-switching adjustment, health-state utility analysis for mapping and application of preference weights, causal inference involving real-world evidence, missing-data methods, external controls and transportability., • Strong understanding of drug development and the relationship between regulatory and payer requirements across the product lifecycle., • Drive early and continuous evidence synthesis strategy to inform HTA planning and decision-making., • Contribute to standards, reusable templates, automation, and best practices that improve the quality, consistency, and scalability of HTA analyses., • Support responses to payers and HTA questions and contribute to scientific interactions with decision-making agencies, healthcare professionals, and external experts., • Communicate complex statistical findings, assumptions, limitations, and recommendations clearly to statistical and non-statistical stakeholders., • Contribute to publication work across assets., • Plan, prioritize, and oversee project-level activities across parallel programs, ensuring effective resource management and delivery of high-quality statistical outputs., • Support vendor selection and provide scientific and quality oversight for outsourced HTA activities, • Established scientific credibility demonstrated through peer-reviewed publications, conference presentations, methodological contributions, guidance development, or active leadership in relevant professional or HTA special-interest groups. Director candidates should demonstrate a sustained and visible external contribution., • Coach and mentor biostatisticians in HTA statistical methodologies, processes, and scientific communication., • PhD in Statistics, Biostatistics, Mathematics or a related quantitative field with at least 8 years of relevant experience, or a master's degree with at least 12 years of relevant experience., • Demonstrated expertise in HTA, reimbursement evidence generation, and indirect treatment comparison methods, • Advanced understanding of drug development and the evidence needs, decision drivers, and review processes of major HTA and reimbursement bodies across multiple regions., • Demonstrated ability to lead and deliver multiple complex, parallel projects across therapeutic areas and to influence senior decision-making in a global matrix environment., • Excellent interpersonal and communication skills, • Experience supporting Joint Clinical Assessment requirements in Europe., • Experience in Immunology and/or another major therapeutic area., • Experience with health economics and outcomes research, real-world evidence, data science, automation, or AI-enabled evidence generation. Benefits & Rewards At Novartis, we're committed to reimagining medicine together - and rewarding the people who make it happen. Expected Annual Base Salary Range for role: 83,510.00 - 155,090.00 GBP Annual The base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically. In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and minimum 14 weeks paid parental leave. In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Long-term equity awards granted at group level may also be part of your package. Further details will be provided during the application process. Read our brochure to learn more about our global total rewards offering: _ Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process. Commitment to Diversity and Inclusion / EEO paragraph Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? _ Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. _

Capula Investment Management is a leading global quantitative hedge fund managing over $35 billion in assets. We are headquartered in London and have offices in New York, Singapore, Hong Kong, Tokyo, Geneva and Abu Dhabi. We manage absolute return, enhanced fixed income, macro and alpha strategies for a diversified group of investors worldwide. Capula invests in a broad universe of asset classes, including fixed income, equities, currencies and commodities, as well as derivatives related to these asset classes. Capula is looking to hire Quantitative Strategists in our London office. Successful candidates will have recently completed their PhD, be highly quantitative and have a clear interest in finance. This is an exciting opportunity to be part of the team of a world-renowned and dynamic global quantitative hedge fund. • Working closely with researchers and traders on defined project(s) leading directly to trading decisions, • Backtesting trading models and strategies, • Receive and participate wholly in training in financial modelling, analysis, research methods and trading strategies, in particular financial flows analysis., • Apply knowledge of finance theory to improve existing quantitative decision making models and tools, • Recently graduated, or graduating this year, with a PhD in a highly quantitative discipline(e.g. Physics, Mathematics, Statistics, Engineering or another quantitative field), • A keen interest in finance, • Excellent quantitative and analytical skills accompanied by critical thinking and intellectual curiosity, • Experience with programming (e.g. Python/C++), • A consistently strong academic record, • An interest in working in a highly dynamic environment Capula is dedicated to helping all employees flourish in their roles by supporting your professional development. • A competitive salary and bonus scheme, • Excellent staff development and training opportunities, • Corporate gym membership (and a complimentary wellness space in our London office), • Generous pension contribution, • Free breakfast and lunch in our employee restaurant, • Private medical insurance and other benefits Capula is committed to fostering a collaborative and inclusive environment, providing employees with the opportunity to develop their skills and advance their careers in the financial sector. We actively promote equality of opportunity for all with the right mix of talent, skills and potential, and welcome applications from a wide range of candidates. #J-18808-Ljbffr

Spatial statistics and geostatistics:. You have graduate-level expertise (MS or PhD required; PhD preferred, or MS with 10+ years of relevant experience) in statistics, applied mathematics, or a closely related quantitative field, with real hands-on experience using specialized computational package

Application Deadline: 18 October 2026 Department: Consultants Location: London Compensation: £68,000 - £75,000 / year At Edge Health, we use data, economics and technology to solve difficult problems in healthcare and life sciences. We work with NHS organisations, government, life sciences companies and healthcare innovators on questions where good analysis can change a decision, a service or a policy. We are looking for a Consultant with 4+ years of professional experience, ideally in a consulting or healthcare analytics background to join our team full-time in London. You're someone who wants to lead projects and client relationships without moving away from the analytical work. Our consulting business focusses on both the delivery of projects to meet clients’ needs, and the development of repeatable propositions to take to market. • Experience planning projects and managing them on a day to day basis;, • Interest in building long-term client relationships and becoming a trusted adviser;, • Passion for working with healthcare data, and ideally experience of having done so;, • Technical skills and experience, such as data economics, statistics, coding, data science or modelling;, • Ability to work in a fast-paced environment; and, • Enthusiasm for working closely with our clients and partner organisations as well as with other members of the Edge team. The role is deliberately a mix of consulting and analysis. At Consultant level you are senior enough to lead day-to-day client work and manage colleagues, but you are still expected to get into the substance, including: interrogating data, building or challenging a model, working with engineers and economists, and forming a view on what the analysis means. The work is varied and often begins with a question rather than a prescribed method. We might be helping an NHS team redesign a service, evaluating the economics of a new technology, or building a tool that lets a client answer the question themselves. Because consulting, economics, data science and engineering sit closely together, people can move between these kinds of problems. We are also small enough for people to shape what Edge does. Consultants can develop areas of expertise, start new propositions, publish work and test ideas outside client projects. We set aside two training days each quarter, and recent internal development time has produced new public tools as well as client propositions. Edge is rated 4.9/5 on Glassdoor with 100% saying they would recommend the company. Recent reviews mention a supportive culture, interesting projects, personal development and lots of room to explore interests. • Project planning and management: Taking responsibility for the planning and management of consulting projects, overseen by a Senior Consultant or Director;, • Applying technical & industry expertise: Be a trusted and expert advisor to our clients in areas of technical (e.g. data science, health economics and modelling) or domain (e.g. healthcare and life sciences) expertise;, • People management: Managing a team of 2-4 colleagues within larger projects;, • Client management: Managing client expectations, writing update briefs for clients and presenting progress or outputs;, • Relationship-building: Building a strong network of clients and contacts within the health industry;, • Innovation: Proactively learning from past projects and experiences to build and develop new propositions for use within the health sector;, • Helping to win new work: Contributing to writing scope documents, bidding material and responses to tender requests;, • Business development: Supporting the wider growth of Edge, through development of marketing material and team training and development;, • Key account management: Taking on one or two key accounts with senior clients for whom we have delivered repeated propositions. We greatly value diversity and would welcome applicants from a range of academic and professional backgrounds. While meeting all the stated job requirements can be beneficial, at Edge, we understand that diverse experiences and perspectives can bring great value to our work. So, if you're passionate about the work we do and share our values, we encourage you to apply, even if you don't meet every single criterion. • At least 4 years of professional experience, working in a consulting, data, healthcare or closely-related setting;, • Experience of managing, coaching, training and developing less experienced colleagues and new hires;, • Experience of working day-to-day with clients or other organisations or teams in a professional setting;, • Domain knowledge in areas of healthcare, life sciences or related fields which you can bring to our clients as a trusted expert;, • Technical skills in the fields of data science, economics, engineering or statistics developed either through academia or professional experience;, • Be highly motivated, self-driven and versatile, and excited to work within a growing, entrepreneurial consultancy;, • Have the ability to engage effectively and enjoyably with a range of people, and to communicate impactfully the findings and implications of their work;, • Have a knowledge of languages such as SQL, R and Python, or a willingness and ability to learn how to do so quickly;, • Have experience of managing, planning and delivering projects and outputs to tight timescales and to a high quality;, • Take proactive responsibility for personal development, and the development of individuals and teams around them., • Discretionary annual bonus (typically averaging ~10% of base), • 25 days annual leave per year, including the option of buying up to 5 additional days., • Vitality Private health insurance and/or Bupa Cashplan, • Two days training per quarter to support professional development, • Cycle2Work scheme #J-18808-Ljbffr

Application Deadline: 18 October 2026 Department: Consultants Employment Type: Full Time Location: London Compensation: £68,000 - £75,000 / year At Edge Health, we use data, economics and technology to solve difficult problems in healthcare and life sciences. We work with NHS organisations, government, life sciences companies and healthcare innovators on questions where good analysis can change a decision, a service or a policy. We are looking for a Consultant with 4+ years of professional experience, ideally in a consulting or healthcare analytics background to join our team full-time in London. You're someone who wants to lead projects and client relationships without moving away from the analytical work. Our consulting business focusses on both the delivery of projects to meet clients’ needs, and the development of repeatable propositions to take to market. Key skills and competencies we are looking for include: • Experience planning projects and managing them on a day to day basis;, • Interest in building long-term client relationships and becoming a trusted adviser;, • Passion for working with healthcare data, and ideally experience of having done so;, • Technical skills and experience, such as data economics, statistics, coding, data science or modelling;, • Ability to work in a fast-paced environment; and, • Enthusiasm for working closely with our clients and partner organisations as well as with other members of the Edge team. The role is deliberately a mix of consulting and analysis. At Consultant level you are senior enough to lead day-to-day client work and manage colleagues, but you are still expected to get into the substance, including: interrogating data, building or challenging a model, working with engineers and economists, and forming a view on what the analysis means. The work is varied and often begins with a question rather than a prescribed method. We might be helping an NHS team redesign a service, evaluating the economics of a new technology, or building a tool that lets a client answer the question themselves. Because consulting, economics, data science and engineering sit closely together, people can move between these kinds of problems. We are also small enough for people to shape what Edge does. Consultants can develop areas of expertise, start new propositions, publish work and test ideas outside client projects. We set aside two training days each quarter, and recent internal development time has produced new public tools as well as client propositions. Edge is rated 4.9/5 on Glassdoor with 100% saying they would recommend the company. Recent reviews mention a supportive culture, interesting projects, personal development and lots of room to explore interests. Key responsibilities within this role include: • Project planning and management: Taking responsibility for the planning and management of consulting projects, overseen by a Senior Consultant or Director;, • Applying technical & industry expertise: Be a trusted and expert advisor to our clients in areas of technical (e.g. data science, health economics and modelling) or domain (e.g. healthcare and life sciences) expertise;, • People management: Managing a team of 2-4 colleagues within larger projects;, • Client management: Managing client expectations, writing update briefs for clients and presenting progress or outputs;, • Relationship-building: Building a strong network of clients and contacts within the health industry;, • Innovation: Proactively learning from past projects and experiences to build and develop new propositions for use within the health sector;, • Helping to win new work: Contributing to writing scope documents, bidding material and responses to tender requests;, • Business development: Supporting the wider growth of Edge, through development of marketing material and team training and development;, • Key account management: Taking on one or two key accounts with senior clients for whom we have delivered repeated propositions. We greatly value diversity and would welcome applicants from a range of academic and professional backgrounds. While meeting all the stated job requirements can be beneficial, at Edge, we understand that diverse experiences and perspectives can bring great value to our work. • At least 4 years of professional experience, working in a consulting, data, healthcare or closely-related setting;, • Experience of managing, coaching, training and developing less experienced colleagues and new hires;, • Experience of working day-to-day with clients or other organisations or teams in a professional setting;, • Domain knowledge in areas of healthcare, life sciences or related fields which you can bring to our clients as a trusted expert;, • Technical skills in the fields of data science, economics, engineering or statistics developed either through academia or professional experience;, • Be highly motivated, self-driven and versatile, and excited to work within a growing, entrepreneurial consultancy;, • Have the ability to engage effectively and enjoyably with a range of people, and to communicate impactfully the findings and implications of their work;, • Have a knowledge of languages such as SQL, R and Python, or a willingness and ability to learn how to do so quickly;, • Have experience of managing, planning and delivering projects and outputs to tight timescales and to a high quality;, • Take proactive responsibility for personal development, and the development of individuals and teams around them., • Discretionary annual bonus (typically averaging ~10% of base), • 25 days annual leave per year, including the option of buying up to 5 additional days., • Vitality Private health insurance and/or Bupa Cashplan, • Two days training per quarter to support professional development, • Cycle2Work scheme #J-18808-Ljbffr

At CluePoints, we’re redefining how clinical trials are run. As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster. At CluePoints, we’re redefining how clinical trials are run. As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster. We’re proud to be an ambitious, fast-growing technology scale-up with a dynamic and diverse international team representing more than 20 nationalities. Collaboration, flexibility, and continuous learning are part of our DNA. At CluePoints, you’ll find a culture where you can grow, make an impact, and have fun along the way. Guided by our values of Care, Passion, and Smart Disruption, we’re united by a shared mission: to create smarter ways to run efficient clinical trials and deliver AI-powered insights that improve human outcomes worldwide. This role is ideally on a hybrid basis, in London. This role sits within our internal Data & Analytics team, helping leadership make data-driven decisions as CluePoints continues to scale. You'll join a small, high-impact team building and evolving our enterprise data platform, integrating data from business systems into our Azure data warehouse and creating trusted datasets that power Power BI reporting across Sales, Marketing, HR, Finance and Professional Services. Built on strong Azure foundations—including Azure Data Factory, a bronze/silver/gold architecture and a recent transition to Microsoft Fabric—you'll help shape the next generation of our data platform, developing scalable engineering patterns that enable the business to grow with confidence. • 8+ years hands-on data engineering and enterprise data warehousing, including senior or lead-level responsibility., • Substantial production experience with Microsoft Fabric — at least one end-to-end implementation, modernisation, or migration you can walk through in detail., • Deep Kimball dimensional modelling expertise, with real examples of gold-layer design for cross-departmental reporting., • Strong Azure stack: Azure Data Factory, Azure SQL, Azure DevOps, Key Vault, and experience integrating web/SaaS sources., • Advanced T-SQL plus Python and/or PySpark for scalable, testable, well-instrumented pipelines., • Comfort working closely with a small analytics team and translating business questions into engineering work., • Microsoft certifications: Fabric Data Engineer Associate (DP-700), Fabric Analytics Engineer Associate (DP-600), or relevant Azure certs., • Microsoft Purview, Fabric administration, capacity management, OneLake shortcuts and mirroring., • Infrastructure as code — Bicep, Terraform, PowerShell, or Fabric/Azure APIs., • Prior experience building internal analytics warehouses inside a fast-growing SaaS business., • Design and build scalable data solutions in Microsoft Fabric — OneLake, Lakehouse and Warehouse, Data Factory, Dataflows Gen2, notebooks, Delta, and T-SQL., • Help lead the phased migration and modernisation of our Azure SQL warehouse and ADF workloads onto Microsoft Fabric., • Source data from the web and SaaS systems used across Sales, Marketing, HR, Finance and Professional Services, and land it reliably in the warehouse., • Build reusable ingestion and transformation patterns, incremental loading, CDC, and reconciliation you can trust in production., • Own and evolve the Kimball gold layer so the Analyst has a clean, well-modelled foundation to build semantic models and reports on., • Establish Git-based CI/CD, data quality checks, lineage, security, and monitoring across Fabric and related Azure components., • Partner day-to-day with the Director of Data & Analytics and the Senior Data Analyst; help shape engineering standards as the function grows., • Private Medical Insurance through Vitality Health (full hospital cover, 24/7 GP, and therapy sessions), • Group Critical Illness Cover with Aviva, • Life Insurance (death-in-service lump sum), • Pension Scheme with 9% employer contribution via Scottish Widows, • Opportunities for professional development and sponsored certifications, • A hub-based hybrid model that blends flexibility with purpose — connecting teams through collaboration, learning, and a vibrant social culture. CluePoints is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and applicants. We welcome applications from all individuals regardless of age, disability, gender identity or expression, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Any personal data you share during your application will be processed in accordance with the UK GDPR and the Data Protection Act 2018 and will be used solely for recruitment purposes. By submitting your application, you consent to the processing of your data for recruitment and employment purposes. At CluePoints, we believe that diverse teams make better decisions and drive innovation. We’re committed to building a workplace that reflects the communities we serve and where everyone can thrive. #J-18808-Ljbffr

As a QA/QC Manager you will, as part of a dedicated site quality and inspection team, be expected to lead and co-ordinate the establishment and implementation of the Project quality plan, site inspection and test procedures of the subcontracted installation. The QA/QC Manager will be an exemplar ambassador for the company and its values; integrity, dependability, safety, pride, quality. • Lead and manage the site QA/QC team and co-ordinate quality activities across the project., • Familiarisation with the scope of each system, specification and installation, focusing particularly on pipe work installation and weld quality., • Familiarisation of the requirement of the Quality plan, the General Contractor quality plan and the client quality plan., • Lead the implementation of the site inspection and test process as prioritised for each system., • Attend and lead quality review meetings with the General Contractor and client as required., • Provide regular feedback to the Project Management team on the Quality process on site and issue improvement recommendations, in line with the weekly project reporting structure., • Generate and close out punch lists and generate quality statistics for tracking and monitoring purposes., • Co-ordinate with the client and subcontractors on the scheduling and prioritising of system walk downs., • Manage and support QA/QC Engineers and Inspectors, ensuring quality standards and project requirements are maintained across all installations., • Monitor subcontractor quality performance and ensure any non-conformances are identified, recorded and closed out in accordance with project requirements., • Ensure all quality documentation, inspection records and handover documentation are maintained and completed in accordance with the Project quality plan., • All other reasonable tasks assigned to you from time to time from your manager., • Ability to prioritise workload, • Recognises own strengths and weaknesses and committed to ongoing development, • Acceptance of responsibility and accountability, • Detailed knowledge of the QA /QC Engineer role, • Commercial understanding, • Health, Safety and Environmental systems, • Knowledge of the team's strengths and weaknesses To find out more information please contact Sean Hitchman on / Our W@D Network through mentorship, development, and advocacy empowers women and promotes a more forward thinking construction industry. employees can take part in fitness challenges, build connections across the business, and contribute to monthly charitable giving initiatives. We want everyone at Dornan to feel welcome, valued, and supported. By embracing different backgrounds, experiences, and perspectives, we create an environment where people can be themselves, grow their careers, and thrive. #J-18808-Ljbffr

12 Month FTC Ready to Help Shape the Future of WPS? Location: Finsbury Park At WPS, we're looking for an experienced and ambitious Bid Manager to join our growing Work Winning team. This is an exciting opportunity to play a pivotal role in securing major contracts across social housing, property services, compliance, building safety, and facilities management. If you're a talented bid professional who thrives on managing complex tenders, collaborating with stakeholders, leading winning bid strategies, and producing compelling content that makes a difference, we'd love to hear from you. As Bid Manager, you'll take ownership of the bid process from opportunity identification through to final submission, ensuring high-quality, compliant, and compelling tender responses are delivered on time. You'll work closely with operational teams, subject matter experts, senior leaders, and external partners to create winning submissions that showcase the very best of WPS. • Lead and manage end-to-end bid and tender processes., • Develop bid programmes and manage critical deadlines., • Coordinate stakeholders to ensure timely completion of high-quality responses., • Facilitate review sessions and approval processes., • Ensure compliance with WPS governance and bid procedures., • Produce engaging, persuasive, and client-focused tender responses., • Research clients and opportunities to tailor submissions effectively., • Ensure submissions clearly demonstrate WPS's strengths, innovation, and value., • Utilise AI tools and technology to improve efficiency and content quality., • Work alongside design teams to develop impactful bid graphics and presentation materials., • Maintain and develop the WPS bid library., • Ensure company statistics, case studies, CVs, and corporate information remain up to date., • Collaborate with HSQE, Sustainability, Innovation, Fleet, and Supply Chain teams to continuously improve bid content., • Manage and support a team of Bid Writers and Bid Coordinators., • Conduct peer reviews and quality assurance activities., • Coach and develop team members to achieve individual and team success., • Ensure Salesforce and bid management systems are maintained and updated., • Support governance processes and Bid/No Bid decision making., • Ensure accurate recording and reporting of tender activity., • Build strong relationships across WPS and the wider Wates Group., • Influence and engage senior stakeholders throughout the bid lifecycle., • Facilitate collaborative working to deliver winning submissions., • Minimum 3 years' bid writing and bid management experience., • Proven success managing large-scale tenders and competitive submissions., • Experience within:, • Social Housing Maintenance, • Planned and Responsive Repairs, • Facilities Management, • Building Safety, • Compliance Services At WPS, you'll join a business that's driven by innovation, collaboration, and creating positive outcomes for communities across the UK. • Career development opportunities, • Professional training and development, • Supportive and collaborative culture, • Inclusive and values-led business, • Opportunity to contribute to major national bids and growth initiatives Looking for a role where your expertise can directly influence business growth and success? Join a high-performing team where your ideas, experience, and leadership will help win exciting opportunities and shape the future of WPS. WPS is proud to be an employer where anyone can thrive, and we welcome applications from candidates of all backgrounds. We encourage you to apply even if you don't meet every requirement, as we value transferable skills and assess all applications fairly. We dont discriminate based on a criminal record; all applications are reviewed on an individual basis against the requirements of the role. Some roles may require additional checks, due to the nature of the work. As a Disability Confident Leader, we offer an interview to applicants with a disability who meet the minimum criteria for the role and opt in to the Disability Confident scheme. Reasonable adjustments are available, please contact us at . #J-18808-Ljbffr

This company runs a bootstrapped rewards platform with 80 million users, profitable since day one. The models you build here directly decide what users see and what the company earns, offering a rare, direct line from your work to significant business impact. They are one of Europe's fastest-growing companies, expanding their data and ML function in London. You'll join a deliberately small data and ML team, owning the entire surface end-to-end. This isn't a role where you hand off models; you'll design, ship, and diagnose them, with a short feedback loop measured in weeks. You'll also help build the ML infrastructure, not just consume it, across a range of problems from reward ranking to personalization and measurement. • Design and ship production machine learning models that directly impact user engagement and company earnings., • Translate complex mathematical business problems into concrete ML formulations., • Build and optimize reward and payout structures, balancing user motivation with cost sustainability and advertiser value., • Diagnose and troubleshoot underperforming reward campaigns, identifying root causes and implementing solutions., • Contribute to the design and implementation of the core ML infrastructure, from training pipelines to live model serving., • You are genuinely hands-on in production ML, having shipped models end-to-end rather than handing them off., • You work across the full stack of a problem: data pipeline, model, and live serving., • You have a strong grounding in statistics, including A/B testing, regression, and probability, ideally with causal inference or uplift methods., • You are motivated as much by business impact as by technical elegance, prioritizing high-leverage solutions., • You want to build ML infrastructure alongside your team, not just use existing systems. As part of the recruitment process at Dex, we process your personal data in accordance with our Privacy Notice for Job Applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns. #J-18808-Ljbffr

Join us as a Trading Market Risk Advisor with roles to support Power. Become part of a team responsible for monitoring and managing the risk associated with ExxonMobil’s trading activities. You will provide risk analysis for global and regional activities sitting alongside commercial traders and advising daily on Trading PnL, exposures, VAR, mark‑to‑market accounting, limit monitoring. • Market Risk Advisory & Strategic Stakeholder Engagement: Proactively deliver high-impact market risk insights through daily analysis and reporting of trading positions, exposures, TCM, and risk limit utilization. Apply advanced market and commodity analysis to generate insight and detect anomalies to provide input to trading strategies and risk mitigation., • Trade Integrity & Dynamic Exposure Management: Lead the daily oversight of exposure risk by maintaining rigorous position tracking and analysis. Identify and resolve trade booking discrepancies, data integrity issues, and abnormal exposure variations with urgency and precision. Act as a trusted risk partner to traders by providing timely alerts and recommendations, including Trade Money Management (TMM) and hedging options input, that safeguard against operational and financial risk. Assess and mitigate market exposures in OTC commodity swaps and options, integrating scenario analysis, stress testing, and valuation methodologies to support strategic decision‑making and regulatory compliance., • Analytical Excellence & Risk Methodology Leadership: Utilize and continuously refine advanced risk analytics such as Value‑at‑Risk (VaR), stress testing, and scenario analysis to enhance portfolio transparency and decision‑making. Attest and recommend liquid and illiquid curve methodology against set principles. Leverage ETRM and analytical tools to deliver accurate, forward‑looking risk assessments that support trading performance and capital efficiency., • End‑to‑End Market Risk Process Mastery & Skill Evolution: Demonstrate deep understanding of the full market risk lifecycle—from trade capture and exposure modeling to risk reporting and limit governance—enabling swift and effective issue resolution across systems and stakeholders. Continuously build expertise in evolving market and commodity risk management techniques, including option trading, OTC swaps, and structured products. Stay ahead of industry developments to provide forward‑looking insights and enhance the strategic value of risk advisory services., • Transaction Risk Evaluation: Evaluate complex commodity transactions by calculating Day 1 reserves and other valuation adjustments, ensuring accurate risk representation and alignment with accounting and regulatory standards. Manage both liquid and illiquid Curve Building and Validation supporting sound MTM principles. Provide independent oversight and proactively challenge trading decisions when risk exposures are unreasonable or misaligned with the company’s risk appetite., • Advanced Risk Strategy & Advisory: Deliver strategic market risk insights to support trading leadership in decision‑making, while mentoring junior analysts and fostering analytical excellence across the risk organization. Independently assess new business opportunities by reviewing transaction terms, model assumptions, valuation methodologies, and expected results. Review plan for hedging and provide support to develop trading limits. Ensure that the proposed transaction and associated hedges can be properly valued and reported by the risk management system of record., • Governance & Risk Infrastructure Enhancement: Strengthen market risk governance by enhancing control frameworks, refining risk reporting processes, and aligning infrastructure with evolving regulatory standards and business objectives., • Hold a Bachelor’s Degree (or equivalent) in Economics, Finance, Mathematics, Statistics or other quantitative field., • Should have significant work experience in energy trading, financial or energy risk management., • An advanced degree, such as a Master’s, MBA, CFA, or Ph.D., degree in Energy or Financial Risk Management is preferred., • Attention to detail with a strong process execution focus and a result orientation approach., • Strong analytical skills and knowledge of financial instruments., • Strong understanding of decision analysis techniques (commercial acumen), statistical modelling and comfort in modelling issues involving risk and uncertainty., • Strong understanding of financial analysis and application to energy transacting., • The desire to work in a fast‑paced, diverse and inclusive environment., • Competitive salary, • Defined Benefit Pension scheme, • Share incentive plan, • Private healthcare for employees and their families #J-18808-Ljbffr

Cytel Inc is seeking an experienced Principal Biostatistician to lead Phase I-IV clinical studies in Greater London. In this role, you will drive innovation and support health technology assessments while collaborating closely with cross-functional teams. The ideal candidate will hold a PhD or Master's in statistics, have robust experience in biostatistics, and be proficient in SAS and R programming. This position offers a full-time commitment with a strong focus on clinical development. #J-18808-Ljbffr

the company provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At the company, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. We are looking for a Data Analyst to join our Optimization Data Analytics team. The ideal candidate is someone who is able to approach and understand complex problems in a structured manner, while converting the results into a compelling and actionable story for internal or external stakeholders, like our merchants. This role will split focus equally between supporting our top customers, and working on automation and scaling projects, leveraging technical skills to enhance team efficiency and support self-service analytics for the Account Management organization. Whether you come from the payments space or not, we need you to be an independent and enthusiastic thinker who is curious about how the payments ecosystem works and how that fits in with global commerce. • Framework Development: Collaborate with cross-functional data teams to develop scalable and reusable frameworks for evaluating large datasets on pressing business questions., • Data Analysis: Determine the necessary data required to solve a wide variety of business problems; extract required data, draw conclusions, and provide recommendations. Whether it’s providing insights to our key products or facilitating new experiments with our merchants, you’ll be driving new initiatives to help the company grow 20x., • Be a Subject Matter Expert: Act as the company’s SME for both merchants and internal stakeholders on payment optimization., • Data Strategy: Shape the next generation of BI and data infrastructure. Build self-service tools to enable business users and contribute to automation and scaling projects., • Storytelling: Turn your findings into effective communication and concise, actionable advice by connecting the data to a story. You will be presenting to internal customers, but also to our merchants (the biggest and well known brands in the world) directly., • Stakeholder Management: Collaborate with Account Managers, Product teams, and other Optimization Data Analysts to align on data best practices and priorities. Gather requirements, provide data insights, and address inquiries. Communicate findings, recommendations, and progress clearly and concisely., • Technical Contributions: Write complex and high performing Python/SQL queries, perform robust data manipulations, and utilize advanced statistical techniques. Develop and optimise data pipelines using PySpark and other Big Data tools. Create and optimise ETLs, ensuring data consistency and reliability. Design and develop LookML models and Looker dashboards., • You have at least 5 years of relevant working experience in the Data & Analytics field., • You have excellent analytical and data wrangling skills, with advanced proficiency in PySpark/ Python., • Experience using descriptive and inferential statistics (e.g., distributions, correlations, hypothesis testing, regressions)., • Expertise in leveraging data to uncover meaningful and actionable insights, paired with the ability to craft compelling data stories that effectively present findings and recommendations to executives, driving informed decision‑making., • Experience with data visualization platforms (e.g., Looker, Tableau)., • Familiarity with Big Data tools and platforms such as Spark and Airflow, and proficiency in version control using Git., • Ability to design and develop efficient and scalable ETL and data pipelines for datasets, including the use of automated data validation to ensure reliability., • Ability to manage multiple priorities and deliver results in a fast‑paced environment., • Excellent communication and collaboration skills, with a global perspective and ability to interface seamlessly with a global, multicultural team., • Experience in FinTech or Payments is a plus. Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at the company. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, the company encourages you to reconsider and apply. We look forward to your application! Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. This role is based out of our London office. We are an office‑first company and value in‑person collaboration; we do not offer remote‑only roles. #J-18808-Ljbffr

Wholesale is a $50 trillion market still working the way it did in 1950. 90% of transactions happen offline, over calls, catalogues and trade shows, and a product passes through four or five layers of distributors and wholesalers before it reaches a store, with every party deciding on a fraction of the picture. By the time it hits the shelf, it costs roughly 40% more than the maker charged. That inefficiency tax runs into the trillions, and everyone pays it every time they buy anything. Qogita is building the operating system that replaces that chain: a single order book connecting the global market, the rails to move goods across borders, and a self-learning system that does every job once, against real-time data about the whole market. That puts data science at the core of the product. Forecasting reads what is actually selling in every market as it sells, a buyer’s basket is assembled from every available seller and split across the optimal combination, and every trade writes a record that sharpens the next price, allocation and route. It is a hard problem, spanning physical goods, thirty national regimes in Europe alone and buyers who are increasingly agents, and it is already working: 95% of transactions involve no human touch, and the business is doubling every year. You're a data scientist with strong quantitative and ML chops who can move between classical modelling, experimentation, and modern applied ML (including LLMs where they're the right tool). You'll own end-to-end data science work across Qogita's wholesale marketplace: framing ambiguous commercial problems, building models that ship, and keeping them healthy in production. The Data Science team partners with Product, Engineering, Finance, and Commercial to build the intelligence layer behind pricing, matching, demand, and product discovery. • Build and deliver data science solutions across the stack: predictive models, ranking, demand forecasting, segmentation, pricing, experimentation, and LLM-powered features, depending on where the business need is greatest, • Take ownership of business-critical ML systems end-to-end: problem framing, model design, deployment, monitoring, and ongoing maintenance in production, • Translate ambiguous business problems into tractable ML or statistical problems with clear success criteria, working closely with Product and Commercial, • Apply quantitative methods (regression, causal inference, classical ML, and deep learning where useful) to pricing, demand, liquidity, supplier matching, catalogue enrichment, and related marketplace problems, • Design and analyse experiments and A/B tests, owning statistical validity and turning results into recommendations teams can act on, • Collaborate with Engineers to ship models via reproducible MLOps workflows: experiment tracking, model serving, alerting, and production monitoring, • Communicate model choices, limitations, and trade-offs clearly to both engineers and non-technical stakeholders, • 3+ years as a data scientist, applied ML engineer, or quantitative analyst, with meaningful exposure across ML methods and statistical modelling, • A track record of owning models in production, not just building them: maintaining, monitoring, and iterating as live infrastructure, • Solid grounding in ML and stats fundamentals: probability, supervised and unsupervised learning, and measurement/validation discipline, • Strong Python and SQL; comfortable with large transactional datasets and common DS/ML libraries (e.g. pandas, scikit-learn, XGBoost, PyTorch or similar), • Experience collaborating on MLOps-style workflows (experiment tracking, serving, monitoring) and shipping with engineers, • Able to communicate uncertainty and model limitations clearly to technical and non-technical audiences, • Bachelor's or Master's in a quantitative field (Data Science, Statistics, Economics, Econometrics, Mathematics, CS, or related), or equivalent experience, • Pricing and market economics: price theory, buyer behaviour, demand estimation, causal inference, experimentation with real commercial stakes, • Production LLM systems: RAG, evaluation frameworks, prompt/fine-tuning trade-offs, transformers and major model families, LangChain or similar, • Marketplace or B2B dynamics; AWS/GCP/Azure ML infra; Airflow, Docker, dbt, Snowflake, Lightdash or similar #J-18808-Ljbffr

Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. This is a unique opportunity for a Data Scientist to bridge the gap between computational genomics and machine learning at scale. Operating at the genomics-ML interface, you will shape our computational genomics efforts to accelerate target identification and validation across diverse therapeutic areas, leveraging large-scale human genetics resources — genetic discovery, biobanks, OMICs, single-cell atlases and other internal datasets— to gain actionable insight. By building, refining and deploying cutting-edge ML-focussed methods you will inform robust functional prioritisation frameworks, mechanistic hypotheses, and strategic decision-making across the organisation. Apply, build, refine and integrate statistical models to gain insight from genomics, transcriptomics and other OMICs datasets and support target discovery and validation. Work cross-functionally at the ML-genetics interface to identify opportunities, solve problems and implement solutions for shared insight Integrate human genetics evidence with OMICs datasets (e.g. transcriptomics, proteomics) to uncover disease mechanisms and prioritise actionable targets. Develop scalable computational workflows for reproducible analysis within Relation’s existing stack Partner closely with experimental and machine learning researchers to validate hypotheses, interpret results, and guide downstream studies. Communicate findings clearly to internal stakeholders, including presenting methods, results, and recommendations. Contribute to publications, scientific communications, and project documentation, supporting scientific excellence and external visibility. PhD in statistical genetics, genomics, computational biology, machine learning, bioinformatics, or a related quantitative field. Knowledge of machine learning techniques applied to biological data Experience in quantitative genomics, statistics, bioinformatics, or multi-omics data analysis. Proficiency in Python (preferred), or R, and familiarity with high-performance computing environments, collaborative coding and version control (e.g. git) Bonus experience: Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. Take ownership of your work , proactively seek opportunities to contribute, and enable others to do their best work. Communicate openly and directly , give and receive feedback constructively, and handle challenging conversations with respect. Actively seek out diverse perspectives , build strong working relationships, and contribute to shared goals across teams. Embrace challenges with openness and resilience , set high standards for yourself, and strive to deliver meaningful outcomes. At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Relation is a committed equal opportunities employer. #J-18808-Ljbffr

Lumanity is dedicated to improving patient health by accelerating and optimizing access to medical advances. We partner with life sciences companies around the world to generate evidence to demonstrate the value of their product, translate the science and data into compelling product narratives, and enable commercial decisions that position these products for success in the market. We do this through strategic and complementary areas of focus: Asset Optimization and Commercialization, Value Access and Outcomes, Medical Strategy and Communications, and Real-World Evidence. The Senior Consultant will play a key role in the design, delivery, and interpretation of evidence review projects for pharmaceutical and healthcare clients across a range of therapeutic areas. The role sits within Lumanity's Evidence Review & Statistics team and will involve managing evidence synthesis projects and major workstreams, including systematic and targeted literature reviews, evidence assessments supporting HTA and EU Joint Clinical Assessments (JCA), reviews supporting indirect treatment comparisons, publications, and broader strategic evidence-generation activities. In this role, you will take responsibility for the scientific quality and day-to-day delivery of assigned projects and workstreams. You will apply methodological judgement to complex evidence questions, identify evidence gaps and limitations, and translate findings into clear conclusions and recommendations for clients. You will work closely with colleagues across evidence review, statistics, health economics, epidemiology, and other disciplines, while providing senior review and guidance to junior team members and contributing to client relationships and business development. Responsibilities • Manage and deliver systematic and targeted literature reviews, evidence landscape assessments, and evidence reviews supporting HTA submissions, EU Joint Clinical Assessments (JCA), indirect treatment comparisons, publications, and other evidence-generation activities., • Shape and critically review methods, including research questions, PICOs, eligibility criteria, protocols, data extraction frameworks, quality assessment approaches, and evidence synthesis plans., • Provide senior methodological input on the quality, relevance, and applicability of evidence, identifying limitations, inconsistencies, evidence gaps, and implications for HTA, JCA, downstream analyses, and client decision-making., • Synthesise findings across studies and evidence sources and translate results into clear conclusions and recommendations for client reports, presentations, workshops, publications, and other scientific deliverables., • Manage defined evidence review workstreams, coordinating timelines, deliverables, and junior team members, and contribute to day-to-day client communication as appropriate., • Contribute to client meetings and workshops, presenting findings and discussing methodological considerations and implications with client stakeholders., • Provide senior quality review and methodological guidance to junior team members, supporting their technical development and ensuring consistent scientific standards across project deliverables, • Work closely with statistical colleagues on indirect treatment comparison feasibility assessments and related methods, including network meta-analysis, MAIC, and STC., • Apply relevant methodological guidance and maintain knowledge of developments in evidence synthesis, HTA, and JCA requirements., • Contribute to proposals, scopes of work, budgets, business development, and internal methodological development., • Support the development and application of Lumanity's AI-enabled evidence review approaches, applying appropriate scientific judgement and quality-control processes., • Master's degree or PhD in epidemiology, pharmaceutical sciences, public health, biostatistics, or another relevant health sciences discipline., • 5+ years of relevant professional experience in evidence synthesis, including substantial hands‑on experience independently managing systematic and targeted literature reviews from protocol development through evidence synthesis, interpretation, and reporting, ideally within a consultancy, CRO, pharmaceutical company, or similar environment., • Strong understanding of systematic review methodology and relevant methodological guidance, with the ability to identify and resolve methodological issues with limited senior oversight., • Strong experience critically appraising and synthesising complex evidence and translating findings into clear conclusions, recommendations, and implications for clients., • Experience managing defined projects or major workstreams, including coordination of timelines, deliverables, and junior team members., • Experience engaging in client meetings, presenting findings, and discussing methodological or strategic considerations with senior stakeholders., • Working knowledge of HTA requirements across major markets, including the EU HTA Regulation and Joint Clinical Assessment requirements., • Experience with indirect treatment comparison feasibility assessments and familiarity with methods such as network meta-analysis, MAIC, and STC is desirable., • Experience contributing to proposals, business development, or client account development is desirable. Please note: This role may require occasional travel, for example to attend client meetings in person or for conference attendance. Lumanity is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. • Competitive salary, • Bonus, • Pension, • Private Healthcare, • Dental Cover, • Enhanced Eye Care Cover, • Electric Car Scheme, • Staggered working hours #J-18808-Ljbffr

Capgemini is seeking an AI Data Scientist to apply data science, statistics, and ML techniques to enable autonomous network intelligence. You will work with network telemetry, topology, inventory, and service data to build predictive analytics for proactive assurance and digital twin analytics. You will collaborate with AI/LLM engineers to provide high-quality features, embeddings, and contextual datasets, ensuring explainable and governance-aligned models for RAN, Core, IP/MPLS, SD-WAN, and #J-18808-Ljbffr

• Job Identification 19822, • Posting Date 09/07/2026, 01:30 PM, • Job Role Compliance-Line Compliance, • Experience (In Years) 9-12, • Job Location London, United Kingdom EXL (NASDAQ: EXLS)is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit www.exlservice.com . Role Title: Senior IRB Credit Modeller (UK Mortgages) BU/Segment: AI Services and Operations Location: London, United Kingdom (Hybrid working 4 days a week in the office) Employment Type: Umbrella Contractor Inside IR35 to start as soon as possible. We are seeking an experienced Senior IRB Credit Modeller to lead the development, enhancement and governance of mortgage credit risk models. The role is responsible for developing and refining IRB risk parameters (PD, LGD and EAD), overseeing model lifecycle management, and ensuring compliance with UK PRA Basel 3.1 requirements. The successful candidate will partner closely with Credit, Business and Risk stakeholders to ensure robust model performance and effective implementation within credit risk framework. Develop and refine IRB credit risk parameters (PD, LGD and EAD) across mortgage portfolios. Collaborate with colleagues in the development of retail and non-retail credit risk models. Oversee the full model lifecycle including scoping, data review, stakeholder engagement, documentation and governance approvals. Conduct annual model reviews, calibrations, back-testing and performance analysis. Identify and remediate model deficiencies and performance issues. Research, design and implement best-practice credit risk methodologies aligned to PRA Basel 3.1 standards. Partner with Credit, Business and support functions to drive understanding and adoption of models. Produce high-quality documentation and governance materials. Bachelor’s or Master’s degree in a highly quantitative discipline such as Mathematics, Statistics or Economics. Approximately 12 years of relevant experience in credit risk modelling. Significant experience estimating IRB parameters for mortgage portfolios under PRA regulations (preferred) or EBA frameworks. Experience leading projects or workstreams within a credit risk modelling environment. Strong coding capability in SQL and/or Python, or willingness to develop these skills. Strong understanding of IRB regulatory requirements and model governance Exceptional analytical and problem-solving abilities. Ability to interpret complex datasets and present findings clearly to diverse audiences. Strong verbal and written communication skills. High-quality documentation and stakeholder management capability. Ability to work independently and collaboratively within a team environment. Continuous learning mindset and adaptability to new challenges. • Working within a highly regarded specialist banking and wealth management organisation., • Exposure to complex mortgage modelling and credit risk initiatives., • Opportunities for professional development and continuous learning., • Collaboration with experienced risk, credit and business stakeholders., • A supportive and high-performing team environment. To be considered for this role, you must already be eligible to work in the relevant location. #J-18808-Ljbffr

Location: Oxford or London (Hybrid) The Mission: Why We Exist Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. We are united by a single vision to help people live longer healthier lives, using the power of genomics. Genomics aims to help people live longer, healthier lives in two ways: super-charging drug discovery and development for novel treatments with our AI-enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores - giving doctors and health systems the chance to get the right people into the right prevention, screening and treatment programmes at the right time. We’re looking for an exceptional Data Scientist with a strong background in human genetics and genomics, and advanced skills in data science, statistics and computational analysis. You might be a great fit for this role if you’re a methods-oriented domain specialist within the broad field of genomics with some exposure to software engineering practices and an interest in developing that side of your skillset. The primary purpose of the role is to develop and integrate support for processing, quality control and analysis of new types of data into our production and research software tools. You’ll join a team of experts in human genetics, data science and software engineering, building the platform at the heart of our Life Sciences work – helping us derive new insights into human biology and guide drug development towards safer, more effective targets. How your time splits across data processing workflows, statistical methods and software engineering will reflect your own balance of scientific and computational strengths, with an emphasis on genetics domain expertise and data analysis, including processing and interpreting functional genomics data. This role can be hired at IC2 (Data Scientist) or IC3 (Senior Data Scientist) level, depending on your experience. At IC3, you’ll operate with greater autonomy, hold a broader scientific scope, bring deeper subject-matter expertise, and lead analyses that integrate multiple genomic data sources, working with cross-disciplinary teams to deliver value. At the heart of this role is the opportunity to expand and improve how we use data and cutting edge methods to identify and validate effective and safe drug targets via deeper understanding of disease mechanisms. Identify innovative uses of new types of data for integration into our data and analytics platform. E.g from functional genomics and perturbation screens, molecular profiling and expression atlases, genomic and functional annotations, and curated interaction, pathway and ontology resources. Implement production quality code for processing, transforming and quality control of new data types for integration into our larger data model Contribute to and implement statistical and machine learning methods to a high standard of robustness, validation and reproducibility. Contribute to internal and external presentations and publications arising from our work. Keep your knowledge current on innovation and good practice in genomics, functional genomics and statistical genetics. At Senior (IC3) level, you’ll also lead projects that integrate multiple functional genomics and genetic data sources, coordinating with cross-disciplinary teams to deliver value. Strong knowledge of human genetics and functional or clinical genomics, and the ability to apply it to research questions. Skilled at analysing and learning from large-scale biological datasets, including statistical and machine learning methods. Experienced processing and interpreting data from functional genomics, molecular and expression atlases, genomic annotations, and curated pathway and interaction resources, including quality control. Competent writing code in Python and/or R for data analysis, with an appreciation of good software development practice. Comfortable using LLM programming assistants appropriately within a research analysis environment. Experienced running tools and workflows in a scalable system, for example Linux based HPC environments or on cloud systems. Experience working on a collaborative codebase using version control and CI/CD. Experience working in remote, cloud-based environments, e.g. AWS. Prior experience working in a team, ideally in an industry setting. A PhD or postgraduate degree in genetics, genomics, computational biology or bioinformatics, or statistics and machine learning applied in these fields. Your Package We are committed to providing a transparent, supportive, and rewarding work environment. Competitive Salary: Salaries are externally benchmarked annually to ensure competitive compensation. Clear Career Path: A straightforward, open progression framework means you’ll always know the path to promotion and how to achieve your next career goal. Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success. Holiday: 25 days annual leave, plus bank holidays, plus an extra 3-day company-wide shutdown at year-end. Financial & Health Security: Robust benefits including a market-leading pension scheme, comprehensive private health insurance for you and your family with NO excess, critical illness, and life assurance. Enhanced Leave: Enhanced paid family leave to support all new parents. Flexible Working: Hybrid Working (e.g., From our London, Oxford Office) Truly Inclusive Time Off: Our 'Bank Your Bank Holiday' program allows you to exchange public holidays for dates that hold personal or cultural significance to you. Vibrant Social Culture: From regular Town Halls and team picnics to organised sports events, our social committee ensures frequent opportunities to connect and celebrate. Green Commute: Cycle-to-Work scheme and convenient office locations near major transport hubs. Ready to Build the Future? If this opportunity excites you, We are dedicated to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Genomics politely requests no contact from recruitment agencies. We do not accept speculative CVs from recruitment agencies nor accept the fees associated with them. #J-18808-Ljbffr

Transform is a fresh alternative to Big Consulting. As an end-to-end transformation partner, we define, design, build and operate systems that solve our clients’ toughest challenges and seize their biggest opportunities. That often means combining strategy, data, AI, technology, and change management. Sometimes we manage and operate the systems we create; other times, we hand it over for the client to run – standing by to make improvements when things change. It all comes down to making an impact: improving lives, supporting citizens, streamlining workflows, and making the world a better place. We specialise in public sector and public-facing organisations—from government agencies and local authorities to energy, utilities, transportation and healthcare. We also work for some of the world’s most dynamic brands across automotive, retail, financial services, and consumer goods. We work closely (often on site) with our clients; to deliver impact you are keen to help us build the workforce of the future, we should talk. We’re all in! That's what gets us out of bed every day. We hope you feel the same. We turn data and tech into competitive advantage and social impact for the world’s most complex organisations, both public and private. Not every day is the same and you will be able to work on knotty problems at the intersection of digital performance and product analytics turning data into insight, and insight into better products, decisions, and outcomes. • Use Google Analytics (GA4) and Google Tag Manager to support digital analytics queries, including setting up and validating event tracking across web and product surfaces, • Perform ad-hoc data extractions and analysis across digital and product data sources using SQL, building analysis‑ready tables that answer client and internal queries at pace, • Analyse product usage data feature adoption, user journeys, retention and churn signals, • Connect digital acquisition data to product engagement metrics, building the analytical thread from first touchpoint through to long‑term user value, • Support BI and reporting deliverables building and maintaining dashboards in Looker, Tableau or Power BI that serve both digital and product stakeholders, • Design and evaluate A/B tests and experiments across digital and product surfaces, bringing statistical rigour to decisions that are currently made on instinct, • Work collaboratively within the analytics team supporting QA of code and analysis outputs, sharing knowledge, and contributing to a culture of high analytical standards, • Contribute to the team's knowledge management infrastructure, including documentation of analytical approaches and outputs in shared systems, • Good hands‑on analytics experience across digital and/or product disciplines, with evidence of working across multiple data sources and client or stakeholder environments, • Strong experience of Google Analytics (GA4) and Google Tag Manager for digital measurement and tracking experience or equivalent also considered, • Confident SQL skills able to independently query, extract and shape large, unstructured datasets without relying on a data engineer for routine requests, • Excellent business problem‑solving skills a track record of developing creative analytical solutions and telling a clear, convincing story with data that drives commercial decisions, • Strong communication and presentation skills able to translate analytical findings clearly for both technical and non‑technical audiences, from engineering teams to senior stakeholders, • Structured and methodical working practices rigorous about QA, documentation and reproducibility; picks up new tools, data environments and analytical contexts quickly, • Understanding of commercial context able to connect analytical outputs to business value, and frame recommendations in terms of impact rather than just insight, • Collaborative team player good interpersonal skills, comfortable supporting colleagues with QA and peer review, and willing to share knowledge openly within the analytics team, • AI curious and ready to embrace opportunities, • A growth mindset, • Degree in a numerical or analytical discipline (e.g. Mathematics, Statistics, Economics, Computer Science, Engineering) or equivalent practical experience, • Experience applying advanced analytics methodologies such as experimentation (A/B testing), forecasting solve business problems, • Experience with product analytics platforms such as Amplitude, Mixpanel or Heap, including funnel analysis, cohort analysis and retention modelling, • Experience of implementing CMP tools such as OneTrust, Cookiebot, • We raise the bar, • We look out for each other, • We shape a changing world, • Holiday entitlement, 28 days with the option to buy/sell up to 5 days (note that 3 days are held for Christmas holidays), • Day off (on or in the week of) your birthday, • Pension eligibility, up to 5% matched contributions, • Life assurance, • Enhanced maternity and enhanced paternity and shared parental leave, • Cycle to work schemes, • A range of other benefits from our flexible benefits package We’re committed to equality of opportunity for all, and we actively seek applications from all ethnicities, orientations, beliefs, gender identities + those with neurodiverse traits and disabilities. We want you to have the best opportunity to show us who you are and what you can do. Please do let us know if you need any adjustments now or at any point in the recruitment process. #J-18808-Ljbffr

Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel‑winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world‑leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting‑edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI. We are looking for Research Engineers with different levels of experience—from Mid through to Senior, Staff, Principal or equivalent levels. This is an exciting opportunity for you to contribute to frontier research at the intersection of AI and drug design. Working in a highly creative, iterative environment, you will partner with scientists and engineers to advance foundational models that will transform the biopharmaceutical world as we know it. You will draw upon your existing engineering and machine‑learning experience while learning from those around you, applying novel techniques and ideas to newly encountered computational biology and chemistry problems. Translate research concepts into practical implementations by developing and optimising state‑of‑the‑art AI models, and building and maintaining robust codebases, data pipelines, and infrastructure for training and evaluation. Design, implement, and run experiments to evaluate the performance and robustness of ML models, using a full spectrum of state‑of‑the‑art machine‑learning methods. Evaluate, tune, and maintain AI/ML models (which includes collecting and preparing data as needed). • Implement algorithms and software to analyse and evaluate the performance of AI models., • Optimise performance of AI/ML models such as Diffusion models, Transformers, GNNs, leveraging a deep understanding of the AI/ML hardware+software stack., • Advise on how to bring AI/ML models to production and/or integrate them into product offerings, and monitor and refine their behavior., • Develop specialised tools/frameworks/infrastructure to aid in the work above. Work closely with research scientists and engineers, contributing to team discussions, sharing knowledge, and actively participating in code reviews to foster a collaborative environment. Proactively identify and address technical challenges, stay updated on the latest AI advancements, and focus on developing solutions that enable scaling our wider foundation and applied model platforms. Execute on independent engineering projects and software development toward research goals. • PhD in a technical subject with major engineering component and exposure to AI/ML, or BSc, MSc and 2+ years of specific experience working on ML model development., • Strong general engineering experience, as evidenced by exposure to one or more of:, • Software design / algorithms, especially for deep learning frameworks, • Modern ML frameworks such as JAX, PyTorch or TensorFlow, • Distributed systems and runtimes, • Compilers (e.g., XLA, Triton, CUDA, Pallas, …), • Large‑scale model training and serving infrastructure, • Experience in navigating complex research codebases, • Databases and data processing pipelines, • Numerical methods, simulation, optimisation, • Strong fundamentals in mathematics, statistics, linear algebra, • Experience with the full ML research and development lifecycle., • Strong understanding of ML theory and applications., • Strong understanding of data structures and algorithms., • Interest in chemistry and biology., • Experience working with biomedical data., • Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery. We are guided by our shared values. It’s not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. • Thoughtful – Curiosity, creativity and care. It is about good people doing good, rigorous and future‑making science every single day., • Brave – Fearlessness, but also initiative and integrity. The scale of the challenge demands nothing less., • Determined – Confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we., • Together – Connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere., • Creating An Extraordinary Company – We believe that to be successful we need a team with a range of skills and talents. We’re building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. #J-18808-Ljbffr