11 jobs found

At Great Yellow we're looking for a Project Manager to join our team. Great Yellow makes landscape regeneration investable and scalable. We envision a future where regenerative land-use is the norm, delivering measurable environmental recovery, resilient food systems, and long-term economic value. Great Yellow exists create a clear, practical pathway to making this future a reality. Today, the way we use and manage land is pushing natural and economic systems to a breaking point. Fragile food supply chains, degraded ecosystems, rising climate risk and failing infrastructure are driving real and growing costs for communities and the economy. By rethinking how we work with land and value nature, we can create landscapes that provide clean water, abundant nature, stable production, and long term security. Great Yellow works to drive this transformation, moving beyond extractive models to unlock economic and ecological regeneration. We work with: Land Managers of ambitious nature recovery projects to plan and deliver ambitious, landscape-scale transformation Project Investors seeking opportunities to generate robust, risk-adjusted returns alongside verified environmental impact Buyers of ecosystem services seeking high-integrity, high-impact natural capital solutions to strengthen resilience and reduce nature-related risks And many other partners and specialists in the restoration journey Role Overview As Senior Project Manager with Water Expertise you will play a critical role in delivering Great Yellow's landscape-scale natural capital programmes with a particular focus on water outcomes (e.g., catchment resilience, water quality, water resources and hydrology, aquatic ecology and biodiversity nature-based solutions and related co-benefits). You will be responsible for day-to-day programme execution across one or more projects in our portfolio, ensuring milestones, governance, and outputs are delivered on time and to a high standard. Supported by the Head of Advisory, you will coordinate internal teams and external partners to maintain delivery momentum, manage risks and dependencies, and ensure our work translates into credible, measurable outcomes for clients and partners. Key Responsibilities 1. Programme Delivery & Execution (Water-focused) Lead day-to-day management of assigned programmes, owning delivery plans, milestones, and reporting. Translate water-focused project objectives into clear workplans, scopes, and success metrics (outputs, outcomes, KPIs). Coordinate internal teams (advisory, analysts, experts) and external contributors (consultants, land managers, delivery partners), ensuring smooth logistics and delivery cadence. Manage programme-level risk, dependencies, and decision points; elevate early with proposed mitigations. Maintain delivery discipline across key artefacts: plans, RAID logs, decision logs, action trackers, and client-ready updates. 2. Water & Catchment Domain Leadership (Applied, not academic) Bring a practical understanding of water systems and catchment management, ensuring programme plans reflect real-world constraints (permissions, land access, seasonality, monitoring requirements, delivery sequencing). Support project teams to structure credible approaches for water outcomes and associated evidence/MRV (what data is needed, when, by whom, and for what purpose). Help teams navigate the "translation gap" between technical water evidence, delivery actions, and investable / fundable propositions. Sense-check water-related assumptions in project narratives, plans, and outputs for realism and defensibility (flagging where specialist sign-off is required). 3. Stakeholder Management & Governance Build and maintain strong working relationships with clients, partners, and delivery stakeholders, providing clear updates and ensuring shared accountability. Plan and run effective project governance rhythms: steering meetings, working groups, and delivery check-ins (agenda, pre-reads, actions, decisions). Anticipate stakeholder friction points (scope creep, competing priorities, unclear accountability) and resolve them through structured communication and clear delivery controls. 4. Scalable Programme Processes Support the Advisory leadership in developing and refining scalable programme management frameworks that improve consistency across the portfolio. Implement best practices in project controls (planning, reporting, change control, risk management) aligned with Great Yellow's strategy and ways of working. Improve how delivery teams capture lessons learned and convert them into reusable templates and playbooks. 5. Cross-functional Collaboration Work closely with the Expertise and Product teams to implement tools and workflows that improve programme efficiency and evidence quality. Collaborate with Growth / commercial colleagues to ensure new programmes are onboarded with clear scopes, governance, and delivery readiness. Support knowledge-sharing across the team so water-related learning compounds across projects. About you 3-5 years' experience in project management / programme delivery, ideally within water, environment, infrastructure, catchment management, nature-based solutions, or closely related sectors. Demonstrated experience coordinating multi-stakeholder projects and delivering to timeline and scope (with strong project controls). Working knowledge of water and catchment systems and the delivery realities of water-related environmental interventions (or closely adjacent experience you can translate quickly). Strong stakeholder management skills: confident working with senior client contacts and technical partners; able to create clarity and momentum. Highly organised with strong written communication (clear plans, crisp updates, high-quality meeting outputs). Analytical mindset: comfortable tracking KPIs, interrogating data quality, and using evidence to drive decisions (without needing to be a modeller). Proficiency in project management tools and comfort operating in fast-moving, ambiguous environments. Motivation to work on nature restoration and natural capital solutions with measurable outcomes. Advantageous (not required) Familiarity with water sector policy/regulatory context, catchment partnerships, or water company investment planning cycles. Strong understanding of agriculture and land management operations and overlap with achieving water objectives Experience working with GIS outputs, environmental datasets, or monitoring frameworks (interpreting and translating into delivery plans). Why Join Great Yellow? Be part of an innovative start-up building the commercial and delivery infrastructure for landscape regeneration Work on programmes that connect water resilience, biodiversity, and finance at landscape scale Join a collaborative team that values clarity, autonomy, and high-quality delivery Hybrid working: we value flexibility, and also getting together in the office to share ideas (and coffee) Apply for the job Do you want to join our team? Then we'd love to hear about you!

Quantitative Trading & Research (QTR) is an expert quantitative modelling group that partners with traders, marketers and risk managers across products and regions, promoting client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and financial risk controls. We are seeking an experienced Vice President to join our QTR team in London, where you will develop analytics for the Credit Portfolio Group (CPG) within the Markets division of the Commercial and Investment Bank. CPG manages the firm's credit and funding valuation adjustments (CVA and FVA), which are critical to the bank's risk management and pricing strategies, and develops and maintains a large-scale Monte-Carlo engine using advanced numerical and computational techniques, including Adjoint Analytic Differentiation (AAD). As an experienced Vice President in the Quantitative Trading & Research - Credit Portfolio team, you will contribute to our agenda to transform the investment bank into a data-promoted business, promoting change through state-of-the-art AI and machine learning techniques. Job Responsibilities Design, develop, and enhance our large-scale Monte Carlo simulation engine used for computing Credit Valuation Adjustment (CVA) and Funding Valuation Adjustment (FVA) across the firm's derivatives portfolio. Implement advanced numerical techniques to further improve computational efficiency and accuracy of risk sensitivities. Contribute to the firm's strategic agenda of transforming the investment bank into a data-driven business through the development of scalable, high-performance analytical tools and infrastructure. Collaborate with technology teams, ensuring robustness, performance, and maintainability of code in a large-scale production environment. Partner closely with traders, marketers, and risk managers across all products and regions to deliver analytical solutions that meet business needs. Drive best practices in quantitative research, software development, and analytical rigor across the team. Required qualifications, capabilities, and skills Solid experience within a quantitative role in finance Degree in a quantitative field such as Computer Science, Engineering, Mathematics, or Physics Demonstrate expert-level programming skills, particularly in Python, with experience leading development of large-scale, production-grade systems and mentoring others in best coding practices. Proven ability to lead technical projects from conception through delivery, including architecture decisions and stakeholder management Champion robust system and solution architecture, ensuring rigorous testing, verification, and adherence to best practices in design and implementation across teams. Deep software engineering, algorithm design, and development skills with a commitment to robust testing, verification, and code quality standards Exceptional communication and influencing skills, both verbal and written, with a demonstrated ability to engage and advise senior partners and stakeholders on complex and technical topics with precision and clarity Preferred qualifications, capabilities, and skills Advanced degree (e.g. PhD) in Engineering, Mathematics, Physics or Computer Science Markets experience and familiarity with general trading concepts and terminology Knowledge of options pricing theory, trading algorithms or financial regulations Experience with robust testing and verification practices

Senior Planner (DV Cleared) Contract Length: 18 months Location: Aldermaston - full time on site Security Clearance: Active DV (Non-negotiable) Minimum Requirement: The delivery of the complete planning capability within the business by maintaining the Integrated Master Schedule (IMS). Supporting the Task Manager with business rhythms, schedule integrity, network analysis, Earned Value and communications with the program and business teams. Providing Planning expertise to internal customers within the projects supported. Implementing Planning processes, policies and procedures within the projects supported. Producing Planning and EV deliverables in accordance with agreed business rhythm within the projects. Deliver of long range operational integrated Programme Planning activities. Supporting the Business Management Manager with emergent projects as directed by Business Controller. Developing and maintaining relationships with and awareness of key project stakeholders. Maintain and promote high personal standards in environment, safety, health, security and quality and be a great team player. Key Responsibilities: Delivering Project Controls Planning and EVM expertise and analysis for projects, to produce accurate and timely schedule forecast information to enable business decision-making. Quality of EV variance analysis for schedule performance. (SPI) Supporting the development and continuous improvement of the end-to-end Planning processes and the production and maintenance of associated policies, procedures and guidelines. Supporting the delivery of Planning tools and EVMS, templates and training to internal customers. Essential: Strong P6 background Skilled planner who is proactive and can take lead to promote planning Will be running meetings to promote planning to project teams and the benefits of using a schedule Able to demonstrate examples of adding value to programmes/projects Strong communication and stakeholder engagement skills - will be liaising with PMs, engineers and scientists. Familiar with planning fundamentals and critical path analysis'

Please note this role is offered as an initial 6 month fixed term contract on a PAYE basis Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category leading destination for every fashion shopper. The Role We're looking for a technically strong Product Manager to lead our Affiliate Operations product team, and be the primary Lyst owner for our partnership with ZOZO's Data Science team in New Zealand. Lyst became part of the ZOZO group last year, and this role will work closely with ZOZO's R&D teams to turn research into productionised product data improvements. You will be accountable for the quality, reliability and discoverability of the world's largest product catalogue, powering discovery and commerce across Lyst. Crucially, you will also support Lyst's commercial initiatives from a TPM perspective - shaping the product and data work to accelerate product merging and enrichment. You'll be the lead Lyst contact for ZOZO's Data Science department and will run regular meetings, define joint milestones and translate data science research into Lyst production work. Together you'll accelerate product merging and enrichment while ensuring tooling is production ready. This role is highly cross functional and strategic. If you enjoy being technical, shipping data products, and managing a data science partnership to deliver measurable business outcomes, this is for you. What you'll own Affiliate Operations strategy & roadmap - Prioritise initiatives that raise data quality, completeness and coherence, and ensure delivery of outcomes that improve discovery and checkout metrics. Data foundations & pipelines - Working with engineering, to define product data models and taxonomies and own product data quality KPIs and remediation workflows. Ensure enrichment and merging flows are implemented and monitored. Partnership with ZOZO Data Science (NZ) - Be the primary Lyst lead managing the relationship with ZOZO's data science team: align roadmaps, define experiments, translate research into production requirements, agree on data contracts/security/IP terms, and run regular syncs and reviews. ZOZO collaboration is a core part of our product enrichment work. Operational ownership - Set and measure SLAs for data freshness, accuracy and output quality. Ensure handoffs and runbooks for the Affiliate Operations team are clear. Commercial & stakeholder management - Liaise with Partnerships and Commercial teams to align product data priorities to business objectives (e.g. ROAS bidding algorithms). People & process - Lead the Affiliate Operations product practice: improve team rituals, prioritisation and delivery cadence. Day to day responsibilities Create and maintain an outcome driven roadmap for Affiliate Operations and our commercial roadmap. Translate ZOZO data science outputs (enrichments/merges/flags) into production requirements, APIs and acceptance criteria. Run regular cross organisation planning with ZOZO and Affiliate Operations, including quarterly planning and technical workshops; manage time zone differences and ensure clear asynchronous handovers. Define and track OKRs tied to listings quality and commercial outcomes. Build the backlog and intake process for operational work, tooling requests and BAU. Communicate progress and trade offs clearly to senior stakeholders. Qualifications 3-6+ years product management experience, with a technical/data focus (hands on TPM or Senior TPM). Strong technical literacy: comfortable with APIs, data schemas, ETL/ingestion pipelines and product data modelling. Experience working with data scientists and engineering teams to productise models and features for production. Proven stakeholder management and delivery track record - you can run complex cross functional projects and manage external technical partners. Excellent written and verbal communication; experience coordinating across time zones and cultures. Agile delivery experience and a bias toward measurable outcomes. Nice to have Experience in ecommerce marketplaces or affiliate commerce. Exposure to machine learning/MLops or productionising ML models. Prior experience working with an external data science partner or international R&D partner. Familiarity with taxonomy design, entity resolution and image/data enrichment workstreams. Experience working with affiliate operations or merchant operations teams. Our Ways of Working Office Days: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Remote Working: Work from anywhere for up to 4 weeks per year. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: All employees are entitled to an annual training allowance of £1,000 for conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, and you will receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.

Location : Cockermouth, Cumbria - in person Job Type: Full-time, Permanent Pay : Up to £68,000 per annum About Us Createc leads technological innovation by combining creative applications of emerging sensor technology, robotics, and algorithms with a focus on commercial success and an entrepreneurial spirit to solve real human challenges. We are a team of multi-skilled individuals who bridge the gap between academic and industrial approaches: we are defined by a technical capability, not a market; but everything we do is defined and guided by a commercial objective. At Createc, we make technology happen. We're the team behind some of the world's most advanced applications of emerging sensor technology, robotics, and algorithms. By collaborating with both academia and industry, we are uniquely able to uncover, shape and bring to life innovative ideas to solve real-world problems. We succeed when our technologies add value in the world. The Role We are seeking an experienced Senior Physicist to join our multidisciplinary team. The successful candidate will play a central role in the design, development, and delivery of innovative physics-based solutions to real-world problems. This is a hands-on role that combines technical leadership, applied research, and mentoring, with opportunities to take ownership of projects from concept through to deployment. _Key responsibilities _ Lead and contribute to research and development projects in applied physics and related fields Develop models, simulations, and experimental methods to solve complex technical challenges. Design, test, and validate new technologies, working closely with engineers, software developers, and project managers. Engage with clients and stakeholders to define requirements and translate them into technical solutions. Mentor junior physicists and engineers, providing guidance in scientific methods and problem-solving approaches. Publish and present research findings, representing Createc at conferences, workshops, and client meetings. About You As an ideal candidate you will be enthusiastic team player who delight in finding novel solutions to tough problems and then breathing life into their ideas. You are optimistic, but pragmatic; creative but focussed. In addition to these fundamental characteristics, you will have the following competencies: _Essential Skills & Experience _ PhD or equivalent research and development experience in Physics or a closely related discipline. Strong background in applied physics, mathematical modelling, or experimental methods. Proven experience in leading technical projects and delivering innovative solutions. Proficiency in data analysis, simulation tools, and programming (e.g., Python, MATLAB, C++, MCNP, GEANT4). Excellent problem-solving skills, with the ability to adapt knowledge across different domains. Strong communication skills, both written and verbal. Ability to travel nationally and internationally up to 5 weeks a year _Desirable skills / attributes _ Experience in radiation physics, imaging, sensing technologies, robotics, or similar areas. Knowledge of industrial sectors such as nuclear, defence, or advanced manufacturing. Track record of securing research funding or managing client relationships. Experience of technically leading projects on nuclear sites. Familiarity with specialist radiation detector electronics. _Qualifications and Experience _ _Essential _ A degree in Physics or closely related scientific subjects Minimum 5 years' experience in a similar role. Ability to attain SC clearance. Valid UK driving licence. Computer literate with working knowledge of the MS Office suite applications. Please be aware that all employees undergo baseline security checks prior to joining the company, this is to meet the requirements of some of our projects. Your Benefits Flexible working hours (with core hours 10-4) Enhanced pension scheme The option to buy and sell annual leave Cycle2Work Scheme On site parking 25 days holidays + bank holidays Enhanced Maternity/Paternity leave Sick pay Our Personal Development and Createc Philosophy Createc supports enthusiastic, hardworking staff that deliver. We have and continue to support training on the job and Chartership applications with mentorship and development plans. Our YouTube channel will give you an insight to some of the exciting work we have been doing recently: Createc - YouTube / Our website can also be used to gain further insight on who we are and what we do: Equality, Diversity and Inclusivity (ED&I) At Createc, we strive to create an inclusive and welcoming environment for all candidates. We strongly believe that a diverse workforce brings with it a diversity of ideas, thinking and ways of working. We want everyone to feel valued, by encouraging a workplace culture where everyone can thrive with a sense of belonging. We aim to support all candidates during the application process and are happy to provide workplace adjustments when necessary. Should you need support with your application, please feel free to get in touch with us at . Closing Date If you are interested, please apply as soon as possible, as the closing date for this advert may be earlier than stated should a number of suitably qualified candidates apply. Job Types: Full-time, Permanent Pay: Up to £68,000.00 per year Benefits: Company pension Cycle to work scheme Enhanced maternity leave Enhanced paternity leave Flexitime Free parking On-site parking Sick pay Ability to commute/relocate: Cockermouth CA13 0HT: reliably commute or plan to relocate before starting work (required) Education: Bachelor's (required) Experience: leading technical projects: 1 year (required) MATLAB: 3 years (preferred) Licence/Certification: Driving Licence (required) Work authorisation: United Kingdom (required) Work Location: In person Reference ID: CR0809