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Secondary Maths Teacher - RichmondFull Time Position | Immediate Start - Summer Term and On-GoingLocation: Richmond, South West LondonSalary: £200-£265 per day, dependent on experienceWe are delighted to announce an exciting opportunity for a passionate and committed Maths Teacher to join an Outstanding co-educational secondary school in the London Borough of Richmond. This is a school with a strong commitment to inclusion, academic excellence and the personal development of every pupil, a place where teachers are genuinely valued and supported to do their best work.This position is ideal for a qualified teacher seeking stability, career development, and the opportunity to make a real and lasting impact within a welcoming school community. Whether you are an experienced teacher or an ECT looking to take your next step, this is a fantastic opportunity to join a school that puts its staff and pupils first.About the Role:As a Secondary Maths Teacher, you will deliver engaging and well-structured lessons across Key Stage 3 and Key Stage 4, ensuring pupils remain motivated and supported in their learning journey. You will be responsible for maintaining high standards of teaching and learning while fostering a positive, structured and inclusive classroom environment.You will demonstrate strong subject knowledge, creativity and effective classroom management skills, supporting pupils in developing their numeracy, problem-solving and analytical skills in line with the national curriculum.The position will begin at the start of the summer term with the potential to continue on an ongoing basis for the right candidate.Key Responsibilities:- Plan and deliver engaging Maths lessons across Key Stage 3 and Key Stage 4- Teach a broad range of mathematical topics including number, algebra, geometry, statistics and probability in line with the national curriculum- Maintain a positive, safe, and inclusive classroom environment that supports learning- Manage classroom behaviour in line with school policies and procedures- Adapt teaching approaches to meet the needs of diverse learners- Assess, monitor, and provide feedback on pupil progress- Build positive relationships with pupils, staff, and leadership teams- Follow safeguarding, health and safety, and school-specific policies at all timesAbout You:- Qualified Teacher Status (QTS) or equivalent- Experience teaching Maths within a secondary school setting- Strong subject knowledge across the Maths curriculum- Excellent classroom management and organisational skills- Adaptable, flexible, and confident working in a new environment- Strong communication and interpersonal skills- Commitment to safeguarding and promoting pupil wellbeing- ECTs and experienced teachers are encouraged to applyWho are Aspire People?Aspire People is the UK's fastest growing education recruitment agency, specialising in providing teaching and support staff to schools across England. We work closely with primary, secondary, and SEN schools across west and south west London to match them with qualified professionals, including teachers, teaching assistants, and administrative staff.We are fully committed to safeguarding and have built a strong reputation for reliability, expertise, and a people-first approach in the education sector.Why join Aspire People?- Dedicated consultant who will support you every step of the way- The opportunity to join an Outstanding co-educational secondary school in Richmond- Contracts to suit you! We specialise in permanent, long-term, short-term, and day-to-day roles- Competitive pay (£200-£265 per day) with multiple payment options- Refer a friend scheme which can earn £100-£250 per person- Access to free CPD and training opportunitiesNext Steps:Get in touch with Kane directly with an up-to-date CV: Aspire People Limited provides services as an Education Agency and an Education Employment Business. Aspire People is committed to safeguarding and promoting the welfare of pupils and expects every candidate to share this commitment. Placements are subject to appropriate Child Protection screening, including checks with former employers and the Disclosure and Barring Service.Aspire People Limited provides services as an Education Agency and an Education Employment Business. Aspire People is committed to safeguarding and promoting the welfare of pupils and expects every candidate to share this commitment. Placements are subject, to appropriate Child Protection screening, including checks with former employers and the Disclosure and Barring Checks.

Machine Learning Engineer - £110k – £130k – Geospatial Tech 4 GoodMachine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit-learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech |Do you want to work with a business building AI-native data system that bring clarity and credibility to nature-based assets?A business tackling complex, real-world environmental challenges, helping organisations make high-impact decisions around risk, resilience and commercial performance?This is the chance to join as a Machine Learning Engineer working with a climate-tech scale-up applying cutting-edge Machine Learning to satellite data, weather models and environmental signals, reshaping how nature is valued in real-world decision-making.Joining their AI team, you’ll design and deploy models that forecast climate volatility, detect vegetation stress, and generate risk-driven insights from remote sensing and time-series data. You’ll work across AI, climate science, geospatial modelling and scalable pipelines, contributing meaningfully from day one.What you’ll be working on:• Building and evaluating Machine Learning/DL models for satellite, weather and climate data• Forecasting environmental and risk-related signals (volatility, vegetation stress, land-surface change)• Developing geospatial and remote-sensing models (Sentinel-1/2, GEDI, optical, radar, LiDAR)• Creating time-series and forecasting models for environmental change• Translating business questions into robust modelling problems• Turning research prototypes into scalable, reproducible AI pipelines• Communicating assumptions, uncertainty and results clearlyThe must-haves:• Strong background in Machine Learning, DL and Applied Statistics• Time-series modelling + backtesting• Experience with geospatial and climate datasets• Python stack: PyTorch, scikit-learn, scipy• Reproducible workflows (Git, AWS/cloud, W&B)Nice-to-haves:• Risk modelling, financial time series, portfolio optimisation (great for FinTech/quant backgrounds)• Climate/weather datasets (CMIP, forecast data)• Geospatial tools: rasterio, xarray, geopandas, GDAL• Remote sensing (optical, radar, LiDAR)• MLOps: CI/CD, containerisation, monitoring• Startup or fast-paced product environmentThe role offers £110k–£130k, a global team environment, and the chance to shape the future of AI-powered environmental and risk intelligence.If it ticks those boxes, don’t hang about message me: Machine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit-learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech |

Data Scientist (Contract, GenAI) We’re hiring a Principal Data Scientist to work on cutting-edge Generative AI and LLM-based systems, with a strong focus on the mathematical and analytical side of data science. This role is less about building models from scratch and more about understanding, evaluating, and optimising AI models to ensure accuracy, scalability, and real-world impact. You’ll work with complex unstructured data (documents, images, PDFs) and help design intelligent, production-ready AI solutions. What you’ll be doing • Analysing and optimising AI/ML models (especially LLMs), • Applying statistics, probability, and optimisation techniques, • Designing GenAI workflows, prompts, and agentic pipelines, • Extracting insights from unstructured data, • Leading technical decisions and mentoring others, • Strong background in mathematics, statistics, or similar, • Experience with Python, LLMs, and Generative AI, • Proven ability to evaluate and improve model performance, • Experience with tools like LangChain or LangGraph

An exciting opportunity has arisen for a Threat Detection Engineer to join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare. As a Threat Detection Engineer, you will be responsible for developing and enhancing threat detection capabilities within a modern cloud-first setting. This role offers hybrid / remote working options, a salary range of £60,000 - £80,000 and benefits. You will be responsible for: • Designing and implementing threat-led detection logic informed by threat intelligence and hunting activities., • Developing innovative analytical techniques to identify incidents effectively., • Collaborating with an outsourced SOC to maintain, tune, and optimise detection catalogues., • Creating and refining DLP, Insider Risk Management, and other security rules using cloud-native tools., • Monitoring and ensuring high-quality service delivery from external SOC providers., • Automating reporting on security performance and operational metrics., • Partnering with technology teams to ensure adequate monitoring across cloud platforms, SaaS, and internal systems., • Documenting security processes, tool configurations, and contributing to service delivery documentation., • Previously worked as an SOC Analyst, Threat Detection Engineer or in a similar role., • Must have strong expertise in KQL., • Hands-on experience with Microsoft Sentinel and Defender (Endpoint, Office 365)., • Familiarity with Microsoft Entra ID, including Identity Governance., • Experience with Microsoft Purview, particularly DLP and data protection tools., • Exposure to cloud-native logging in Azure and Kubernetes environments., • Understanding of “detection as code” or “everything as code” approaches, including CI/CD pipelines., • Experience working with or alongside MSP SOC teams., • Awareness of Agile methodologies and ways of working., • Knowledge of attacker TTPs, threat modelling, and cyber security frameworks., • Understanding of statistics, data science, or AI/ML as applied to security., • Awareness of ISO 27001 standards. Relevant job titles: Threat Detection Engineer, Cyber Threat Engineer, Detection & Response Engineer, Security Detection Engineer Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phone, or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please contact us. Additional Resources Ltd is an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Employment Businesses Regulations 2003. Keywords: Cyber Threat Engineer,Detection & Response Engineer,SIEM Engineer,Security Detection Engineer,Threat Hunting Engineer,Security Automation Engineer,SOC Engineer,Incident Response Engineer,Cloud Security Engineer,Network Security Engineer,Cybersecurity Analyst (Threat Focus),Threat Intelligence Analyst,Security Monitoring Engineer,Endpoint Security Engineer,Cyber Defense Engineer

An exciting opportunity has arisen for a Threat Detection Engineer to join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare. As a Threat Detection Engineer, you will be responsible for developing and enhancing threat detection capabilities within a modern cloud-first setting. This role offers hybrid / remote working options, a salary range of £60,000 - £80,000 and benefits. You will be responsible for: • Designing and implementing threat-led detection logic informed by threat intelligence and hunting activities., • Developing innovative analytical techniques to identify incidents effectively., • Collaborating with an outsourced SOC to maintain, tune, and optimise detection catalogues., • Creating and refining DLP, Insider Risk Management, and other security rules using cloud-native tools., • Monitoring and ensuring high-quality service delivery from external SOC providers., • Automating reporting on security performance and operational metrics., • Partnering with technology teams to ensure adequate monitoring across cloud platforms, SaaS, and internal systems., • Documenting security processes, tool configurations, and contributing to service delivery documentation., • Previously worked as a Threat Detection Engineer or in a similar role., • Must have strong expertise in KQL., • Hands-on experience with Microsoft Sentinel and Defender (Endpoint, Office 365)., • Familiarity with Microsoft Entra ID, including Identity Governance., • Experience with Microsoft Purview, particularly DLP and data protection tools., • Exposure to cloud-native logging in Azure and Kubernetes environments., • Understanding of “detection as code” or “everything as code” approaches, including CI/CD pipelines., • Experience working with or alongside MSP SOC teams., • Awareness of Agile methodologies and ways of working., • Knowledge of attacker TTPs, threat modelling, and cyber security frameworks., • Understanding of statistics, data science, or AI/ML as applied to security., • Awareness of ISO 27001 standards. Relevant job titles: Threat Detection Engineer, Cyber Threat Engineer, Detection & Response Engineer, Security Detection Engineer Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phone, or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please contact us. Additional Resources Ltd is an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Employment Businesses Regulations 2003. Keywords: Cyber Threat Engineer,Detection & Response Engineer,SIEM Engineer,Security Detection Engineer,Threat Hunting Engineer,Security Automation Engineer,SOC Engineer,Incident Response Engineer,Cloud Security Engineer,Network Security Engineer,Cybersecurity Analyst (Threat Focus),Threat Intelligence Analyst,Security Monitoring Engineer,Endpoint Security Engineer,Cyber Defense Engineer

Do you have a background in SPC Management? Experience of the operation and management of PFI Projects? Would you like a join an award-winning leader in the PFI space? If so, we could have the job for you.... Role SPC Manager aka SPC General Manager, PFI Operations Manager, PFI Performance Manager, PFI Compliance Manager, SPV Manager Location - SE Outer London / Kent area. Mix of onsite work & home based. Excellent for: Dartford, Bexley, Bromley, Orpington, Woolwich, Gravesend, etc Salary - £95K - £100K Basic + £7.5K Car allowance + 30% Bonus + 10% matched pension contributions + extensive benefits package The role To look after one main site, but with other's in scope around your area. You We seek people with SPC Management or very similar experience (High-level FM, for example) Excellent stakeholder management capabilities given the high-profile nature of this contract. We are open to all backgrounds: Custodial, Education and Healthcare. Responsibilities • Maintain and develop financial and operational policies and procedures that ensure the efficient conduct of the SPC., • Ensure the SPC H&S monitoring regime is implemented., • Assist with the preparation of statutory reports, returns statistics and accounts etc. in line with applicable law and in accordance with the operations management contracts., • Monitor all quality assurance aspects of each operating company’s services, and the performance of all third-party service providers to minimise deductions in respect of performance and availability – including Project Compliance review monitoring., • Implement programmes and administer agreements which will help to maximise shareholders’ return and commercial income opportunities. Interested? Please send your cv for a quick response

Quantitative Analyst Location: Croydon office location with hybrid working Salary: £50,000 to £56,000 per annum plus Civil Service Pension Contract Type: Permanent Position type: Full Time At the Pension Protection Fund (PPF), we provide security in retirement for our members and millions of people throughout the UK who belong to defined benefit (DB) pension schemes. Through the PPF and Financial Assistance Scheme (FAS), we compensate members for their pensions after the employer funding their pension becomes insolvent. In total, we look after over 400,000 members across the PPF and FAS. With over £30 billion in assets under management, our investments support long-term economic growth across the UK. Our award-winning team of around 450 professionals has earned the IPE UK Pension Fund of the Year title three times in seven years. We work closely with government and industry partners to improve outcomes for scheme members, employers, and the broader pension system—playing a vital role in strengthening retirement security nationwide. We’re looking for a Quantitative Analyst to join our Actuarial Risk & Modelling team; an specialist group responsible for delivering the quantitative insights that underpin the PPF’s financial resilience. This role will be working at the heart of our actuarial function, where you’ll play a key role in assessing the risks to our long-term funding objective by harnessing the power of our sophisticated stochastic models, including the Long-Term Risk Model (LTRM) and Economic Scenario Model (ESM). In this highly analytical role, you’ll manage and deliver the team’s regular reporting and analysis cycle, ensuring the integrity of processes from end to end. You will also lead ad-hoc modelling projects that support strategic decision-making across the organisation. To do this, you’ll build a deep understanding of how our models work, how they interact, and how they inform our view of the future. As an experienced analyst, you’ll also provide support, coaching, and direction to junior team members. We’re seeking someone educated to graduate level in a scientific discipline, or with equivalent experience, equipped with strong knowledge of statistics and probabilities. You’ll bring hands-on experience managing complex analytical processes within a financial institution or consultancy environment, along with practical exposure to Economic Scenario Models or Generators. A solid grasp of statistical methods, stochastic modelling techniques, and the behaviour of yield curves and asset returns is essential. If you are motivated by analytical challenges, enjoy solving complex problems, and want to make a meaningful contribution within a mission-driven organisation, we encourage you to apply. Sound like you? Apply now. In return for your skills, experience and commitment we’ll give you a challenging role within a business where you’ll get the support you need to develop your career. We’ll also give you lots of opportunities for personal development and skills training. Our Croydon office is just across the road from East Croydon station, which is around 15 minutes from Victoria or London Bridge, 10 minutes from Clapham Junction or half an hour from St Pancras. We are proud to be a Disability Confident Leaderand actively encourage applications from people with disabilities. We are committed to ensuring our recruitment process is inclusive and accessible. If you require any reasonable adjustments during the recruitment process, please let us know. We are happy to discuss your needs and ensure you have the support required. We embrace diverse talent welcoming people with different beliefs, backgrounds and ways of working. Whatever your background, and however you identify, you’ll be welcome here. No agencies please

Training & Commercial Manager (Maternity Cover – 9 Months) The Role The Royal Statistical Society (RSS) is an internationally respected professional body with over 12,000 members, dedicated to advancing the use of statistics and data for the public good. Our commitment to training and professional development is central to our mission, helping individuals and organisations put data at the heart of understanding and decision-making. We are seeking an experienced Training & Commercial Manager to oversee the operation, promotion and delivery of the Society’s flagship training and commercial activities during a maternity cover period. You will lead the management of our entire training portfolio, ensuring high‑quality course delivery, coordinating and supporting trainers, and building strong relationships with clients and stakeholders. You will ensure RSS training reflects current market demand, is well planned, financially robust and positioned for sustainable growth. Alongside training, you will oversee the Society’s smaller advertising income streams, including Significance magazine and the RSS jobs board, ensuring effective administration, customer satisfaction and sustainable revenue growth. On a day‑to‑day basis, you will manage the full operational delivery of the training programme – coordinating logistics, maintaining clear communications with trainers and delegates, responding to enquiries, and overseeing the Moodle learning platform. You will manage key financial processes including invoicing, budgeting and reporting, and act as the central point of contact during live course delivery to ensure smooth and professional execution. Finally, working closely with colleagues from across the organisation, you will develop effective marketing campaigns to promote training and commercial activity, drive bookings and achieve financial targets. You will also contribute to cross‑organisational projects, including the RSS website redevelopment, ensuring training and commercial activity is effectively integrated across the new site. Your main responsibilities • Own the end‑to‑end delivery of RSS training – planning, scheduling, coordinating and supporting every course., • Liaise directly with trainers and clients to build relationships and deliver a polished, professional experience across virtual and in‑person formats., • Implement engaging marketing campaigns to drive bookings, raise awareness and achieve targets., • Maintain accurate financial records and processes including budgeting, forecasting, reporting, invoicing and reconciliation., • Deliver continuous improvements across operational systems, including the RSS Moodle platform., • Manage RSS advertising products, ensuring smooth customer journeys and successful promotional campaign delivery., • Play a key role in the RSS website redevelopment, shaping how training and commercial activity appear and function online., • Previous experience managing a successful training or events business., • A strong commercial focus with experience of working in revenue‑generating environments., • Ability to engage across multiple stakeholders with strong relationship management and customer service skills, • Able to drive day to day logistics and ensure smooth, effective business operations., • Experience of delivering exceptional levels of customer satisfaction., • Excellent prioritisation skills with an ability to juggle competing deadlines and activities., • Comfort with CRM systems, financial processes and Microsoft Office., • Competitive salary: £37,897 pro rata., • 9-month maternity cover., • 35 hours per week (flexible working available)., • Hybrid working with minimum two in‑office days (London office)., • 25 days’ annual leave pro rata + bank holidays + Christmas closure., • Pension with up to 10% employer contribution. If the above sounds like you, we’d love to hear from you! To apply please upload your CV and a cover letter (no more than two sides of A4) outlining your relevant skills, experience and why you would excel within this role. Applications close: Monday 4th May 11.30pm

\n\n \n\n Accounting Manager \n\n \n\n London | Hybrid | Leading US Law Firm \n\n \n\n \n\n My client, a highly respected US law firm, is seeking an experienced Accounting Manager to join their London office. The position works closely with the CFO, DOA/COFA, and US‑based finance teams, offering excellent exposure across the firm. As Accounting Manager, you will take ownership of a wide range of financial processes, ensuring accuracy, compliance and smooth day‑to‑day operations. This includes: \n\n \n\n \n\n Accounting \n\n \n\n Preparing, filing and paying quarterly VAT returns.Supporting the annual SAR audit, liaising with auditors and responding to queries.Working with the US Accounting team on the UK LLP statutory audit, including year‑end journals and reporting.Liaising with the relevant contacts on UK partnership tax filings and partner tax statements.Performing GL reconciliations (pensions, loans, receivables, salary advances, deposits).Overseeing expenses and supplier payments approvals and processes.Payroll & Benefits \n\n \n\n Managing monthly payroll in partnership with HR and an outsourced provider.Maintaining the master salary list and ensuring timely, accurate payroll delivery.Overseeing all HMRC requirements.Managing pension contributions and auto‑enrolment compliance.Handling payroll queries and preparing final data for the US team.Completing payroll year‑end tasks including PAYE Settlement and P11D(b).Partner Payroll \n\n \n\n Managing the UK SEP draw schedule and monthly partner payments.Liaising with US teams on FX, tax and capital deductions.Reporting & Support \n\n \n\n Producing management and cash‑flow reports.Responding to queries relating to cost orders, billing, WIP, AR and AP.Completing Office for National Statistics submissions.Compliance & Banking \n\n \n\n Supporting compliance with SRA.Maintaining relationships with banking partners.Managing banking user access and permissions.Handling card requests, credit limit changes and account closures. \n\n \n\n Skills & Experience \n\n \n\n Chartered Accountant qualification (ACA, ACCA or equivalent).Strong experience in a similar accounting role, ideally within a law firm or professional services environment.Excellent knowledge of HMRC regulations, VAT, payroll processes and SRA Accounts Rules.Proficiency in Excel and financial systems (3E, Emburse, online banking). \n\n \n\n Due to the high volume of applications, we are not able to respond to all enquiries. If you have not received a response within 72 hours, please assume you have not been shortlisted at this stage, however thank you for taking the time to apply. \n\n \n\n \n\n \n\n

Senior Sales Manager - Brand Direct Salary: £65,000 - £70,000 + 65% commission! Advertising Technology Need to haves: Selling to brands directly, Enterprise deal sizes, have an understanding of the programmatic, DSP landscape The Company & Opportunity: This company is one of the top DSP’s powered by AI. They are a global company with offices across Europe, Canada and the US. Their futureproof, machine learning capabilities are a great advantage to the company's unique selling points and a reason for their current growth. They have are in Series C funding, 500+ employees and work with clients such as Ikea, 7stars, L’oreal, Microsoft + more! In this role, you will lead the sales of a managed service offering and self-serve platform. This is an opportunity for someone to have a huge impact, work autonomously on one of the most important and fastest growing agency patches. You’ll be responsible for the pre-sales qualification, sales strategy, negotiation, through to final implementation. Role Responsibilities: • Developing and owning a sales strategy and business plan for advertising/media agencies and brands in the UK, independent agencies and direct clients., • Present capabilities, USP’s and the platforms offering in the digital ad space; build an understanding of the products and their place in the industry., • Bringing in new customers, through contacting and selling to brands directly, • Continually analyzing sales statistics to determine growth potential and working towards specific KPIs and challenging targets, • 6-12 months sales cycles, • £1m + deal sizes, • Selling to Enterprise brands eg - Coca Cola, McDonalds sized companies across any industry, • Joining a team of 4, 2 are in direct sales so there's plenty of opportunity!! You: • 5+ years’ in new business sales in media or ad-tech., • Proven track record in selecting, managing and developing strategic accounts., • Ability to build relationships with decision-makers around a solution/strategic sale., • Strong leadership characteristics and an ability to tell a story and bring people on the journey with you., • A team player, with a positive, keen, can do attitude., • You must have sold to brands directly for the most part of your career, • You must have a great technical knowledge and understanding of programmatic so you can confidently discuss multiple DSP options, • You must be comfortable and have experience selling to Enterprise brands, understand the process and have proven experience and success, • You must be comfortable and have experience managing longer sales cycles and £500k - £1m deals / spend Apply now!

Role Summary - Senior AI Engineer Aubay UK is seeking a highly skilled and versatile Senior AI Engineer for our leading oil and gas client. The Senior AI Engineer is responsible for designing, developing, and deploying advanced AI and machine-learning solutions for enterprise-level clients. The ideal candidate will have a strong foundation in mathematics or computer science and a proven track record of delivering innovative AI capabilities across diverse industries. This role requires both strategic and hands-on technical expertise, with the ability to operate autonomously, evaluate trade-offs, recommend optimal approaches, and own the end-to-end development of impactful AI solutions. The engineer will work collaboratively across multidisciplinary teams, providing thought leadership in cutting-edge AI technologies, including deep learning, graph neural networks, generative AI, and retrieval augmented system. Required Skills and Experience: • 5+ years of professional experience delivering advanced AI / ML solutions in industry or engineering environments., • Strong expertise in Python and AI/ML libraries: PyTorch, TensorFlow, Scikit‑Learn, Keras, NumPy, Pandas, JAX, XGBoost, PyTorch Geometric, OpenCV, Transformers, LangChain, Pinecone., • Proven hands‑on experience deploying models in production and building scalable AI software., • Deep understanding of advanced modelling methods: deep learning, GNNs, computer vision, sensor fusion, vector embeddings, RAG, generative AI., • Experience designing AI/ML architectures and providing strategic technical guidance to enterprise clients., • Proficiency with cloud compute platforms for training and deployment (Azure, AWS, GCP, or similar)., • Strong communication skills, able to influence architecture decisions and explain complex concepts clearly., • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or related STEM field. Desired Skills and Experience: • Background in reliability engineering, corrosion, WRFM (Well & Reservoir Facility Management), advanced sensing, or process engineering., • Experience with downstream customer platforms or trading ERP systems., • Hands-on experience with platforms such as Azure ML Studio, Palantir Foundry, or Databricks Mosaic., • Familiarity with NLP, LLM deployment, agent-based AI (MCP, A2A, N8N), and advanced RAG architectures. Roles and Responsibilities: • Lead the end‑to‑end development, deployment, and delivery of AI and machine learning solutions for enterprise clients, ensuring scalability, reliability, and real‑world impact., • Apply advanced AI techniques—including deep learning, classical ML, graph neural networks, object detection, sensor fusion, vector embeddings, retrieval‑augmented generation (RAG), and generative AI models—to design systems that learn, adapt, and operate autonomously., • Provide strategic architectural guidance on AI systems, ensuring efficient design, cloud‑ready deployment, and alignment with enterprise architectural standards., • Collaborate with multidisciplinary teams (engineering, product, domain experts) to create AI‑driven solutions that automate analysis, enhance decision‑making, and generate actionable insights., • Lead the design and implementation of AI pipelines, including experimentation, model training, evaluation, optimisation, and production deployment., • Serve as a thought leader on emerging AI technologies, including LLMs, generative AI, agent-based systems (MCP, A2A, N8N), and advanced RAG frameworks, helping guide innovation and best practices., • Communicate complex technical concepts to non‑technical stakeholders, providing clear strategic recommendations and architectural oversight., • Ensure all AI solutions meet standards for performance, security, cloud governance, and operational reliability, leveraging modern cloud environments for model training and deployment. Aubay's Take Our client is one of the Super Major global energy companies with who are working to power progress through cleaner energy solutions. You will have the opportunity to work in a challenging but rewarding environment that is fast paced and changing fundamentally, and work towards transforming the business of a Super Major energy company to meet the ambition to be a net-zero emissions energy business by 2050, whilst delivering a world class business case that has a strong societal license to operate. In your role you will be expected to enact change and deliver value globally across business lines and geographies. Benefits from Aubay At Aubay UK, people are at the heart of our business. We offer a competitive remunerations package which includes a range of benefits. You will receive continuous support from our dedicated team of Talent Acquisition Specialists who will support your career development and success during your assignment with our client.

Company: Avant-garde and unique, Arlettie has been electrifying crowds with its "event" sales for over 20 years. By creating exceptional events, Arlettie has established itself as the European leader in organizing unique private sales, both in showrooms and online, bringing together the biggest names in luxury at our showrooms in Paris, London, New York, and Milan. Arlettie's showrooms are designed as showcases that, each week, are adorned with the colors of prestigious fashion, jewelry, leather goods, and accessories brands. The showroom network has been expanded with the launch of an e-shop, bringing the joys of 2.0 shopping to as many people as possible. With a database of over 300,000 customers, Arlettie has developed a calendar of exclusive sales to offer its community a unique shopping experience. Missions: As an Account Manager in London, you will be in charge of the entire organization of our private sales events in the showroom, from the operational planning to the end of sale reporting with the brand partner. A true Arlettie ambassador, you will be the privileged interlocutor of our partner Houses and our operational teams to make each event a success in terms of turnover and customer satisfaction. Your responsibilities will include: · The organization of the sale in coordination with the brand: · Marketing and defining invitations according to the breakdown of customer files · Analysis of the product offer · Study of price positioning and product segmentation · Define the zoning and merchandising for the offer · Define the sales objectives (transformation rate and turnover) in coordination with management. Follow-up and management of the sale: · Brief our field teams on all aspects of the event: Logistics/Inventory, offer, collection, policy/price, merchandising and daily turnover objectives. · Real-time relay with all the back-office teams (management, marketing, HR…) and field teams (floor manager and customer service). · Follow up on turnover and objectives · Implementation of correct measures after analysis of sales indicators, · Proposal of marketing actions to optimize conversion rates and turnover in agreement with the brand partner · Daily brand reporting • Indicator analysis and sales reporting · Reporting detailed sales statistics to the brand partner · Sales marketing report · Proposal for new operations (event dates, sale structure, location, and commission rate) Profile: Coming from a business school background, you justify a similar experience in commercial or merchandising with at least two years in the luxury and fashion industry. A true entrepreneur, you will be responsible for the operating result of each sale and for maintaining your budget. You will be able to manage the sale organisation as a whole (marketing, logistics, team) by solving event-specific solutions and working well under pressure. Smiling, dynamic, enthusiastic, persevering, you are concerned with providing quality service at every sale stage. You are passionate about the world of fashion and luxury and have a natural product sensitivity. You distinguish yourself by your great professional rigour and excellent communication skills (both written and oral).

About the Role: Grade Level (for internal use): 15 The Team The Enterprise Solutions Technology team is dedicated to delivering next-generation, high-scale technology platforms through resilient architecture, data excellence, and engineering innovation. Our mission is to enhance our digital presence and improve customer engagement across various domains, including Lending, Corporate Actions, Tax, Regulatory & Compliance, Regulatory Reporting, Public Markets, and Private Markets portfolio monitoring. Role We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This is a strategy-led and hands-on applied data science and ML engineering role, responsible for defining the AI/ML roadmap for Enterprise Solutions while also building high-rigor analytical and predictive models for anomaly detection, variance analysis, drift detection, market and behavioral signals, forecasting, and prediction. The expectation is production-grade models, comparable in rigor to fraud, risk, or surveillance systems. What's In for you : The role exists to ensure AI/ML strategy is sound and that analytical models are correct, explainable, reliable in production, and able to withstand operational and regulatory scrutiny. You will work closely with engineering, data platform, and product teams to take models from problem definition through to production operation, including feature engineering, back-testing, deployment, monitoring, and ongoing performance management. You will get involved early in complex or high-risk analytical problems and step in when models degrade or fail in production. A key part of the role is knowing when to apply advanced modelling, when simpler approaches are sufficient, and when modelling is not appropriate. You may have limited line management responsibility, but impact is driven primarily through hands-on technical contribution, review, and influence. Responsibilities: • Strong experience delivering applied data science and machine learning in production within banking, capital markets, or similarly regulated, data-intensive environments., • Deep grounding in statistics, machine learning, time-series analysis, and predictive modelling, with experience building models under real operational constraints., • Hands-on ownership of the full model lifecycle: data exploration, feature engineering, model development, back-testing, validation, deployment, monitoring, and ongoing tuning., • Extensive experience working with large, complex, and imperfect datasets, including missing data, outliers, regime changes, noisy labels, and evolving schemas., • Strong understanding of production ML system design, including batch vs real-time inference, model serving patterns, performance trade-offs, and failure modes., • Experience operating models in production over time, including versioning, drift detection, retraining strategies, and incident response when models misbehave., • Practical experience designing explainable models suitable for regulated environments, including feature attribution and model transparency techniques., • Experience combining statistical models, ML, semantic models, and rules-based logic where needed to achieve accuracy, stability, and explainability., • Strong focus on data quality, anomaly detection, and monitoring, including metrics that surface real issues and drive sustained improvement. Experience & Mindset, • 20+ years working with analytics, data science, or ML systems in production, with significant experience in financial services or other regulated, high-availability domains., • Comfortable working directly with data, models, and code, and collaborating closely with software engineers and platform teams., • Pragmatic and outcome-driven; measures success by models that run reliably in production, adapt to changing conditions, and withstand scrutiny., • Clear communicator who can explain modelling choices, assumptions, and limitations to engineers, product partners, and senior stakeholders., • Acts as a technical mentor to other data scientists through review, pairing, and example, limited people management where appropriate. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. 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. 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. 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 reportfraud@spglobal.com . 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 here . 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: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf " describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH102 - Senior Management (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

Who are we and What do we do? ShareChat (Mohalla Tech Pvt Ltd) is India’s largest homegrown social media company and the only local player to achieve profitability in the industry, with 200+ million Monthly Monetizable Users across all its platforms. Founded in 2015, ShareChat has social media brands such as the ShareChat App and Moj App and micro drama app QuickTV under its portfolio. QuickTV, the newest addition to ShareChat's family of apps, crossed the 10 million downloads mark within 3 months of launch and currently has 60Mn MAUs across the network viewing the vertical episodic content. Today, the ShareChat network maintains a whopping 1,000 Cr ARR and is India’s leading social media platform servicing users across the country in 15 regional languages. This growth has led to a 28% YoY revenue growth in the July-Sept (2025-26) quarter and increased it by more than 60% in the Oct-Dec quarter. What does the team do? Serving recommendations to 300+ million users entails developing large scale personalization and recommendation models that understand user needs and preferences in realtime, while also helping creators grow their audiences on our platforms. A subset of the problems we tackle include: • Serving personalized feeds for 300+ million users via real-time candidate generators, multi-task prediction models, whole-page optimization, and in-session personalization., • Nurturing our content and creator ecosystem, and developing models for strategic content valuation., • Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, causal inference, optimization, ranking and recommendation. What You’ll Do Within the Sharechat AI team, we are looking for an experienced Staff engineer to lead the engineering efforts around serving personalization models efficiently at scale, leading efforts across 10+ MLEs, SDEs and decision scientists working on feed ranking and candidate generation systems that power Sharechat’s recommender systems. In this role you will help us further improve our recommendation systems in order to drive up user retention and engagement while minimizing server and cloud costs of serving large scale models, and act as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress at a rapid pace. Who are you? • 8+ years of industry experience with a solid understanding of engineering, infrastructure and ML best practices. Strong coding skills with Go or JAVA, • Design and help develop systems that serve recommendations to over 300 million users, • Drive engineering roadmap creation and execution, specifically around feed ranking and recall oriented candidate generation systems, • Provide technical guidance in ranking systems design, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction based metrics, • Drive architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders, • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of containerization and orchestration tools like Docker and Kubernetes is a plus., • Experience designing end to end ML data pipelines. Experience with database technologies such as PostgreSQL, MySQL, or MongoDB, Spark, Databricks and stream data processing such as Kafka, RedPanda is a plus., • Direct experience in building and applying large-scale (100M+ users) machine learning solutions for personalizing recommendations., • Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch is a plus., • You stay up-to-date with the state-of-the-art open source infrastructure solutions applicable to designing and improving large scale recommender systems, data engineering, and machine learning, • You have a Master’s or PhD in Computer Science, statistics, or an engineering field with 5+ years of experience Where will you be? London(Remote) What's in it for you? At ShareChat, our values—Ownership, Speed, User Empathy, Integrity, and First Principles—are at the core of our ways of working. We believe in hiring top talent and grooming future leaders by providing a flexible environment to aid growth and development.

Machine Learning Engineer - 3-4 Days per week in Camden office We’re partnering with a fast-growing, well-funded tech company transforming how hospitality businesses staff, plan, and operate in real time — and they’re looking for a Machine Learning Engineer to join their team. This is a hands-on, high-impact role where you’ll take models from idea → production → real-world impact across thousands of sites. You’ll be working on everything from demand forecasting to data pipelines and production deployment in a high-traffic environment used by major UK brands. This isn't your typical Machine Learning role focussed on LLMs. They are looking for talented engineers with a quantitative background and experience with statistical models. What you’ll be doing: • Building and deploying scalable ML models powering mobile apps and internal tools, • Designing data architecture for efficient storage, processing, and retrieval, • Developing forecasting and optimisation models for staffing and operations, • Owning ETL pipelines integrating multi-source data (APIs, internal systems), • Collaborating with data scientists, engineers, and business stakeholders, • Monitoring, maintaining, and improving production ML systems What they’re looking for: • Strong foundations in maths, statistics, and modelling, • Experience building production-grade ML systems (e.g. forecasting, optimisation, CV), • Solid ML Ops and data engineering experience, • Proficiency in Python & SQL (Airflow, PyTorch, Spark a plus), • Experience with AWS (SageMaker, Lambda, etc.), • Interest in backend development (Django or Go), • High level STEM Degree from a leading university. Nice to have: • Experience with data lakes / warehousing, • Familiarity with CI/CD, data versioning, and data quality practices What’s on offer: • Private medical insurance, • Equity in a high-growth startup, • Gym membership, • Dog-friendly office, • Regular team meals, snacks, and a collaborative, social culture If you’re excited by real-world ML applications, enjoy building end-to-end systems, and want to make a tangible impact — we’d love to hear from you. 👉 Apply now or message me directly for more details.

About the Role We are seeking a Senior Full-Stack Engineer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture. As a full-stack engineer, you'll work across the entire technology stack—from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity. About Prolo Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes: • Backend Services: Python 3.13, FastAPI, async micro-services architecture, • Data Layer: Neo4j graph database, PostgreSQL, complex data modelling, • AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction, • Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3), • DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code, • Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Required Qualifications Software Development • 5+ years of professional software engineering experience, • Strong proficiency in Python (3.10+) with deep understanding of async programming, • Experience with Poetry or similar Python dependency management tools, • Experience building RESTful APIs and micro-services, • Solid understanding of database design and optimisation (both SQL and NoSQL), • Experience with graph databases (Neo4j preferred) or willingness to learn quickly, • Knowledge of event-driven architectures and message queues, • Knowledge of API design principles, data validation, and serialisation, • Experience with observability tools (OpenTelemetry, Prometheus, Grafana), • Experience with AWS Lambda and serverless architectures, • Experience working across the stack (backend + some frontend), • Understanding of web technologies, HTTP, and API integrations, • Ability to contribute to responsive frontend code when needed, • Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically, • Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously DevOps & Infrastructure • Hands-on experience with cloud platforms (AWS preferred), • Experience with containerisation (Docker) and orchestration (Kubernetes), • Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar), • Experience setting up CI/CD pipelines, • Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics • Experience with data analysis using Python (pandas, numpy), • Understanding of data pipelines and ETL processes AI/LLM Engineering • Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications, • Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade-offs, • Experience with prompt engineering techniques — few-shot prompting, chain-of-thought, structured output, and instruction tuning, • Practical knowledge of RAG (Retrieval-Augmented Generation) architectures, including chunking strategies, vector embeddings, and similarity search, • Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar, • Experience designing and building agentic systems — tool-calling agents, multi-step reasoning, and human-in-the-loop workflows, • Understanding of MCP (Model Context Protocol) or similar standards for connecting AI models to external tools and data sources, • Knowledge of LLM evaluation methods — measuring accuracy, hallucination, latency, and cost, • Awareness of responsible AI practices: bias, safety, output validation, and guardrails in production systems, • Experience managing LLM costs and optimising for latency vs. quality trade-offs in real deployments Soft Skills • Wearer of Many Hats: Comfortable switching contexts and working across different domains, • Self-Starter: Ability to work independently and take ownership of projects, • Problem Solver: Strong analytical and debugging skills, • Collaborative: Excellent communication skills and ability to work in a small team, • Adaptable: Comfortable with ambiguity and rapid iteration, • Mentoring: Able to mentor less-experienced Software Engineers. Nice-to-Have Qualifications • Experience with FastAPI or similar async Python web frameworks, • Experience with Neo4j or other graph databases, • Experience with graph algorithms and network analysis, • Experience with Helm and Kubernetes operators, • Background in data science, statistics, or scientific computing, • Experience with graph analytics or network analysis, • Experience with Apple and Google App Stores, • Experience in early-stage startups What We Offer • Impact: Direct influence on product direction and technical decisions, • Growth: Opportunity to work across the entire stack and learn new technologies, • Ownership: Take ownership of features from conception to deployment, • Flexibility: Hybrid, remote-friendly work environment, • Equity: Meaningful equity stake in the company, • Learning: Access to cutting-edge technologies and challenging problems How to Apply Please submit: • Your resume/CV, • A brief cover letter explaining why you're interested in this role, • Links to your GitHub profile or relevant code samples, • Any relevant projects or work that demonstrates your experience We're particularly interested in candidates who can demonstrate: • Experience building scalable backend systems, • Ability to work across multiple domains (backend, DevOps, data), • Examples of taking projects from idea to production, • Contributions to open source or personal projects Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.

Senior ML Engineer: Up to 115k Xcede are currently working with one of Europe’s most respected applied AI companies. They work closely with governments and major organisations to solve complex, high-impact problems using machine learning and data science. Something particularly impressive is their reputation as a tech unicorn, valued at over £1bn, and their position as a market leader in safe, real-world AI. Currently, they are looking to hire ML Engineers for their Senior position in their retail unit. The ideal candidate will be someone who has worked as a ML Engineer within the Retail sector. You will: • Build and deploy machine learning systems that are used in real-world production environments, • develop scalable ML tools and infrastructure, so that models can be built, tested, and deployed efficiently across different projects, • working closely with data scientists, engineers and business teams to solve important client problems using machine learning., • You would also help design the technical architecture for ML solutions, making decisions about how systems should be built, • setting best practices for deploying ML systems at scale, • Technical expert to customers/partners Requirements: • Understand full end-to-end ML lifecycle, • Proficiency with Python, • Cloud infrastructure experience e.g AWS, • Docker & Kubernetes scaling, • ML statistics fundamentals, • Strong stakeholder communication, • Ownership in fast environments If you are interested in this or other ML Engineering positions, please contact Gilad Sabari @ | 02074226861

Job Title : Data Modeler - P&C Insurance Location : London , UK Mode : Hybrid Role Summary: As a business modeling focused data modeler, your role involves creating and maintaining various levels of data models that align with Sub domain/Super Domain goals. You will closely work with the sub domain owners and sub domain Data product managers to understand business goals, value hypothesis, and use cases to help build Data products that are well supported by effective and efficient data models. In this role you will be responsible to closely collaborate with other personas in the domain driven architecture/operating model to drive the growth of your business domains. Qualifications: • Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field., • Minimum of 8+ years of experience in data modeling in the property and casualty insurance industry., • Proficiency in SQL, data modeling tools and languages such as Python and UML., • Strong analytical thinking is essential for creating efficient and scalable data models that meet business needs., • Proven experience as a Data Modeler preferably in the property and casualty insurance industry. Familiarity with property and casualty insurance industry data, systems, and processes. Ability to understand business needs, revenue drivers and stakeholder requirements., • Take ownership of the product’s success and advocate for its value., • Experience with Agile methodologies and data modeling tools., • Familiarity with data modeling concepts and database technologies., • Excellent communication and leadership skills, with the ability to bridge the gap between technical teams and business stakeholders., • Strong problem-solving skills and the ability to work in a dynamic, fast-paced environment Key Responsibilities: • Business Analysis and strategic planning: Analyse business use cases to understand the goal and value hypothesis that the domain owners are driving towards, • Model Design and Build: Create data models that will support the data product vision of the Data product manager. Develop conceptual models representing the sub/super domain business model. Ensure the conceptual model is created with Meta Model/Ontology and/or Knowledge Graph utilization. Develop logical and physical data models to meet the Data product requirements through the means of business use cases and the KPIs. During the Physical data modeling process of the data product, ensure all the various output requirements are fully satisfied. E.g. – SQL endpoints, Dashboard/Reports and API consumption., • Data Mapping and Quality: Ensure the data catalog activities for the data product are carried out. Help the domain data analysts to complete the source to target mapping, data quality rule setup for the target data model’s critical data elements (CDE)., • Database Optimization: Optimize Cloud databases such as Delta Lake or One Lake for efficiency, scalability, and faster access using techniques like indexing and partitioning., • Data Governance: Work with Federated Governance guild to define global policies that define and govern data modeling practices, design standards, best practices across the data marketplace., • Collaboration: Work closely with data engineers, analysts, and other teams to implement and maintain effective data models.

Job Title: 3 X Quality Advisors or Senior Quality Advisors (depending on experience) Location: 1 X NW London / 1 X NE London / 1 X West London Salary & Benefits - £55,000 -£60,000 plus bonus, car or allowance and more! Industry - Energy / Heavy civils Shirley Parsons is working exclusively with a leading Civil Engineering client who are looking to recruit a Quality Advisor or Senior Quality Advisor to support a major energy infrastructure project. Quality Advisor Responsibilities • Promoting best practice in quality management aligned with organisational standards., • Supporting site management teams to ensure full compliance with Quality Plans and project requirements., • Conducting regular site inspections and audits to verify work is being completed in accordance with policies, procedures, and quality expectations., • Encouraging robust reporting of nonconformances and advising on effective close‑out actions., • Collating and reviewing Quality statistics and submitting data for reporting purposes., • Analysing quality trends to identify areas for improvement., • Developing and implementing quality campaigns and improvement plans in agreement with management., • Supporting project teams in developing Quality Plans and associated documentation., • Producing and maintaining Quality Plans, procedures, and records to ensure compliance with company and contract standards., • Acting as a champion for the “Quality – Right First Time” initiative. Quality Advisor Qualifications and Experience • Experience within a Quality role or similar., • Membership of a relevant professional body (e.g., CQI), • Strong understanding of ISO 9001 requirements., • Previous experience within heavy civils environment

Nashrock are supporting a well-established insurance brokerage who are looking to appoint an experienced Claims Executive to support their Professional Indemnity and wider Financial Lines claims portfolio. This role suits a confident claims professional who enjoys handling complex matters, building strong client relationships, and operating at the heart of the London Market. What you’ll be doing: 📂 Managing Professional Indemnity claims from notification through to settlement ⚖️ Negotiating complex claims with insurers to achieve the best outcomes for clients 🧭 Providing strategic and technical claims advice to clients when required 📊 Preparing claims statistics and management information for internal and external use 🤝 Attending client and market meetings to support resolution of more complex claims 💻 Maintaining accurate records across internal systems and market platforms 📈 Supporting presentations, tenders and service propositions for new and existing clients 🌍 Monitoring legal and market developments to enhance overall claims service delivery What you’ll need: 🧠 Proven experience handling Professional Indemnity claims 🏙 Strong understanding of the London Market and Financial Lines environment 🗣 Confidence dealing with senior stakeholders, clients and insurers 📑 Excellent organisational skills with strong attention to detail 🤝 A collaborative mindset with a commitment to delivering high-quality client service This is an excellent opportunity for a claims professional looking to develop their career within a highly regarded, client-focused environment, working on interesting and often complex claims. 📩 Please get in touch to find out more or to discuss confidentially.

Head of HSE Reports to: Head of EPC | Location: United Kingdom (Hybrid) | Type: Full-time, Permanent About the Company Tyler Hill Consulting (now part of Zenexa Group) is a renewable energy developer who specialise end to end development of onshore renewable energy assets across the UK, from origination all the way through to RTB. Tyler Hill Consulting recently received platform-level funding to develop, build and operate our 5GW pipeline of onshore renewable energy assets. Zenexa Renewables Limited has been set up to own these projects long-term to become a leading IPP platform to support the UK's transition towards net zero. About the Role We are seeking an experienced and values-driven Head of HSE to join our leadership team and take ownership of health, safety, and environmental performance across our growing portfolio of utility-scale renewable energy projects. Reporting directly to the Head of EPC, this is a critical role that carries responsibility for setting HSE strategy, building a proactive safety culture, and ensuring full regulatory compliance across all phases of project development, construction, and operations. The successful candidate will be a confident and credible HSE leader who combines deep technical expertise with strong people skills; someone who can operate equally effectively with site operatives, project managers, and Board members, and who is passionate about delivering projects in a way that protects people, communities, and the natural environment. Key Responsibilities • Develop, own, and continuously improve the company's HSE management system, policies, procedures, and standards, ensuring they are fit for purpose across all phases of utility-scale renewable energy project development, construction, and operations., • Act as the company's senior competent person for health, safety, and environmental matters, providing authoritative advice to the Board, senior leadership, project teams, and external stakeholders., • Discharge the duties of Principal Designer under CDM 2015 where required, overseeing pre-construction HSE planning, reviewing designs for buildability and safety in execution, and ensuring Health & Safety Files are prepared and handed over at project completion., • Lead the development and implementation of Construction Phase Plans, Environmental Management Plans (CEMPs), and site-specific risk assessments across the project portfolio, working closely with the Head of Construction and site management teams., • Establish and maintain a proactive, positive safety culture across the organisation and supply chain, providing clear leadership, visible presence on site, and ongoing coaching and engagement with all project personnel., • Manage and audit the HSE performance of EPC contractors, specialist subcontractors, and consultants, ensuring all parties meet or exceed contractual requirements and regulatory HSE obligations., • Oversee the implementation of risk management frameworks, including RAMS reviews, permit-to-work systems, site induction programmes, toolbox talks, and regular HSE inspections and audits., • Lead incident reporting, investigation, and root cause analysis processes, ensuring lessons learned are systematically embedded across the portfolio and reported transparently to senior leadership., • Ensure compliance with all applicable UK health, safety, and environmental legislation, including the Health and Safety at Work Act 1974, CDM 2015, Environmental Permitting Regulations, Wildlife & Countryside Act, and other relevant statutory instruments., • Manage environmental compliance obligations on construction sites and operational assets, including habitat protection, noise and dust control, water management, waste management, and species protection requirements under planning consent and Environmental Permits., • Lead the discharge of environmental planning conditions and coordination with the Environment Agency, Natural England, NatureScot, NRW, and local planning authorities as required., • Interface with the Development and Planning teams to review environmental impact assessments, support consenting activities, and ensure HSE considerations are embedded in early-stage project design., • Manage relationships with the Health and Safety Executive (HSE), Environment Agency, and other regulatory bodies, acting as the primary point of contact for statutory notifications (F10), enforcement matters, and regulatory enquiries., • Develop and deliver HSE training and competency frameworks for in-house staff at all levels, ensuring teams are appropriately qualified, trained, and aware of their duties., • Provide regular, accurate HSE reporting to the Board and senior management, including leading and lagging indicators, incident statistics, regulatory compliance status, and trend analysis., • Build and lead a small team of HSE professionals as the business scales, fostering a culture of high performance, integrity, and continuous improvement. Requirements • 10+ years of experience in health, safety, and environmental management, with at least 5 years in a senior leadership role within the UK renewable energy, power generation, or broader infrastructure sector., • Demonstrated experience managing HSE across the full lifecycle of utility-scale solar, onshore wind, and/or BESS projects, from development and consenting through construction and into operations., • Expert knowledge of CDM 2015, with proven experience as Principal Designer and/or Principal Contractor, including preparation of pre-construction information, Health & Safety Files, and Construction Phase Plans., • Strong working knowledge of UK health, safety, and environmental legislation, including HSWA 1974, Environmental Permitting Regulations, Wildlife & Countryside Act 1981, and the requirements of the Environment Agency, Natural England, NatureScot, and NRW., • Experience managing environmental compliance on large infrastructure construction sites, including CEMPs, habitat and species protection measures, environmental monitoring, and planning condition discharge., • Proven track record of managing and auditing contractor HSE performance, including conducting site inspections, reviewing RAMS, and driving behavioural safety improvements across supply chains., • Demonstrated experience in incident investigation and root cause analysis, with the ability to translate findings into lasting improvements across complex, multisite operations., • Strong knowledge of electrical safety in HV/LV construction environments, including safe systems of work for grid connection, substation, and power plant construction activities., • NEBOSH Diploma in Occupational Health and Safety (or equivalent) is essential. NEBOSH Environmental Certificate or a relevant environmental qualification is highly desirable., • Chartered membership of IOSH (CMIOSH) is strongly preferred. Membership of IEMA or an equivalent environmental body is desirable., • Excellent leadership, communication, and influencing skills, with the ability to build a positive safety culture and engage credibly with site operatives, senior executives, and regulatory bodies alike., • Strong commercial awareness, with experience contributing to HSE aspects of contract management, tender evaluation, and project governance., • Willingness to spend regular time on project sites across the UK, with the flexibility to respond promptly to incidents or regulatory matters as they arise., • A proactive and collaborative approach, with the drive to build a best-in-class HSE function in a growing, ambitious business

AI Engineer [Analyst] – Early Career Role About the Job As an early‑career AI Engineer at Cerberus, you’ll join a small, high‑impact team building AI systems that power decision‑making across a global investment platform. You’ll work alongside experienced AI engineers, data scientists, and technologists to deliver real products used by investment teams and portfolio companies. This role is ideal for: • PhD graduates in a STEM field with applied ML, optimization, or computational experience; or What You’ll Do Build and deliver ML systems Work with senior engineers to design, train, and deploy machine learning models and data-driven tools that support investment and operational decision-making. Contribute to real production deployments Help integrate ML models into business workflows, build data pipelines, and support the rollout of AI applications across teams. Experiment and iterate Prototype ideas, test assumptions, and rapidly evolve solutions based on real user feedback and real-world constraints. Learn modern tooling and practices Gain hands-on experience with ML frameworks, cloud infrastructure, MLOps tools, and best practices for building scalable AI systems. Communicate clearly Translate technical findings into clear, structured insights for collaborators across technical and business teams. Grow as an AI engineer Develop skills across the full ML lifecycle—data processing, modelling, evaluation, deployment, and ongoing improvement. Sample Projects You Might Work On GenAI for due diligence Support the configuration, extension, and rollout of our in-house GenAI platform across investment teams. Work with senior engineers to customise workflows, analyse model outputs, and drive adoption. Automated Deal Sourcing Tools Help build prototypes that extract signals from datasets and integrate with APIs to enrich leads. Support the creation of modular ML-driven components that can be used across investment strategies. (Both examples are reframed so junior team members contribute meaningfully but are not expected to independently lead full workstreams.) Your Experience We don’t expect candidates to have experience across all areas—what matters most is strong technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills • Degree in a STEM field., • PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas., • Experience writing clean, maintainable Python code., • Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows., • Comfortable working with data, performing analysis, and writing SQL queries., • Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP)., • Strong problem-solving skills, • Curiosity and eagerness to learn, • Pragmatic, impact-driven approach, • Ability to work collaboratively in a fast-paced environment About Us We are a growing team of AI specialists—data scientists, ML engineers, software engineers, and technology strategists—working to transform how a global investment firm with $65B+ in assets uses data and AI. We operate like a startup within the firm: fast, collaborative, and focused on delivering real value. Our work spans investment desks, portfolio companies, and core operations, giving early-career engineers wide exposure and the opportunity to grow rapidly.

Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make people’s lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions. As a Fraud Operations Director in Fintech, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale. As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business KPIs and lead other managers to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business. Responsibilities: • Lead the development and optimization of fraud detection systems using machine learning and rule-based engines., • Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions., • 7+ years of experience in hands-on working on fintech fraud problems at a scale of at least 1MM transactions/events per day, deployed solutions to production with a proven impact., • 3+ years of experience in managing fraud prevention at a corporation, in fintech or cyber-tech companies with a proven business impact., • 3+ years of experience in Python, SQL, and AWS cloud. Ability to write readable and maintainable code., • Background in compliance, KYC, AML and other financial regulations while managing fraud risks., • Working in high scales of >10MM transactions/day., • Proven track record of reducing fraud actors at scale, with strong type-1 and type-2 error estimates., • Experience working with technologies like Athena/Trino, Spark, AML, CI/CD, and Tableau.

About the Role: Grade Level (for internal use): 10 Sales Associate - Global Strategic Accounts The Team: Inside Sales, S&P Dow Jones Indices (S&P DJI) Role Overview: Are you passionate about building relationships and driving business growth with global strategic clients? As a Sales Associate for Global Strategic Accounts (GSAs) at S&P Dow Jones Indices, you'll play a vital role in supporting the full sales cycle, managing interactions with key accounts, and identifying new opportunities. You will collaborate with cross-functional teams to deliver exceptional service, enhance the sales process, and contribute to the overall sales strategy. Responsibilities and Impact: A successful candidate will support our GSA Team colleagues throughout the life cycle of a sale and support the ongoing maintenance and expansion of the relationship with our Global Strategic Accounts. This includes: • Partnering with our Sales and Client Services team to drive customer satisfaction and adoption within existing accounts by providing proactive support and resolving inquiries promptly. You will respond to and process inquiries via Salesforce, including (but not limited to):, • New licensing and license checks, • Client billing & reporting, • Client renewals and usage statistics, • Existing client maintenance and day-to-day user care, • Utilize product knowledge to resolve incoming analytical queries, collaborating with the Client Experience Team and Index Production Groups to ensuring a prompt and complete response is provided to the client, • Sales Process Support:, • Collaborate with the Client Coverage Team to provide comprehensive support in the management of sales deals - including Data, IP, and Custom opportunities - overseeing agreement drafting and negotiation with internal and external legal teams., • Maintain accurate and up-to-date records of leads and client interactions in CRM systems, ensuring data integrity for analysis and reporting., • Account Management:, • Cultivate and maintain strong client relationships, acting as a primary point of contact to understand client needs, manage expectations, and ensure positive, seamless interactions in line with company service standards and strategic goals., • Oversee and optimize the regional portfolio to enhance customer satisfaction, loyalty, and long-term retention, proactively resolving complex issues and complaints efficiently., • Aligns solutions to client requirements and participates in presale meetings to ensure service offerings meet client needs., • Track and analyze key performance indicators (KPIs) related to customer experience and satisfaction, relaying client feedback and insights to relevant teams to support ongoing product and service improvements., • Collaboration:, • Work closely with internal teams such as Finance, Product Management, Data Product Management, Client Coverage, Client Services, Pricing Governance, and Legal to ensure seamless sales operations and coordinated strategies., • Hold weekly meetings with GSA Team Representatives to provide relevant statistics, KPIs, and updates on key regional/global initiatives, • Lead Identification & Sales Strategy:, • Identify and qualify potential leads through research and outreach, contributing to a robust pipeline of opportunities., • Assist in preparing sales materials and presentations that effectively communicate S&P Dow Jones Indices' value proposition., • Collaborate with the GSA Team to develop and implement tailored sales strategies that support both client goals and company objectives., • Proactively identify opportunities for upselling and cross-selling within existing accounts., • Workflow Efficiency:, • Work on both sales and strategic projects that assist with general workflow efficiencies and business growth., • Personal Attributes:, • Demonstrate strong communication and interpersonal skills to effectively convey complex information to clients and colleagues., • Exhibit a proactive attitude and eagerness to learn and grow in a fast-paced sales environment., • We value team members who demonstrate a genuine curiosity about our business and our clients. In this role, you'll immerse yourself in our products and services, develop a deep understanding of client needs, and proactively seek innovative ways to deliver value. Your commitment to client satisfaction and your eagerness to learn will position you as a trusted partner for our global strategic accounts. What We're Looking For: Basic Required Qualifications: • Bachelor's degree in Business, Finance, Economics, Marketing, or a related field., • Minimum of 5+ years of relevant sales experience, with a focus on managing complex sales support processes and high-value client relationships., • Demonstrated ability to achieve sales related targets and meet performance metrics., • Strong analytical, communication, and interpersonal skills., • Proficiency in CRM software (Salesforce preferred) and Microsoft Office Suite.Skills & Attributes:, • Customer-Centric Approach: Ability to understand client needs and align them with company offerings., • Problem-Solving: Strong analytical and problem-solving skills to resolve complex customer issues efficiently., • Strategic Thinking: Ability to develop and execute strategies that enhance customer satisfaction and loyalty., • Communication: Excellent verbal and written communication skills for effective interaction with clients and internal teams., • Product Knowledge: Knowledge of specific product lines to provide expert guidance and address client inquiries., • Client Focused: Excellent negotiation and presentation capabilities, with strong problem-solving skills and acute attention to detail., • Curiosity: Genuine curiosity about our business, our products, and our clients' industries., • Fluency in German and French advantageous We require all external candidates who reach the final stage of our interview process to attend at least one in-person interview, which is ordinarily at your nearest S&P Global office. This must be completed before we can proceed to an offer. About S&P Global Dow Jones Indic e s At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We're the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 ® and the Dow Jones Industrial Average ® . More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices 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. 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. 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 reportfraud@spglobal.com . 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 here . 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: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf " describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 40 - Sales (EEO-2 Job Categories-United States of America), SLSINS405.1 - Middle Professional Tier I-In Sales (EEO Job Group)

About us We're Performance Communications — proudly employee-owned, one of The Sunday Times Best Places to Work and the UK’s leading specialist agency in Automotive, Technology & Sports Brand Comms. We’re 60 strong, creatively driven, and fuelled by a passion for storytelling that actually moves the needle for our clients. Whether it’s dreaming up big campaign ideas, unlocking media opportunities, building influencer buzz, or crafting stories that stand out on social — no two days here are ever the same. We’re based in Kingston upon Thames and work hybrid: three days in-office, two from home. What we’re looking for Working on iconic global motorcycle and automotive brands, we’re looking for an experienced social media professional who is passionate about two wheels and confident managing high-profile social accounts. You should be proactive and highly organised, with strong community management skills, a sharp eye for detail, and a flair for creating engaging, social-first content that brings the world of motorcycling to life. What you'll be doing You will take ownership of the day-to-day social media presence for a major UK motorcycle brand, as well as supporting other major automotive clients as the role grows. Your role will cover the full social lifecycle from idea to execution to community engagement. Key responsibilities will include: • Managing the day-to-day social media channels for a major UK motorcycle brand and additional client accounts, • Developing social-first content ideas and pitching them internally and to clients, • Creating, editing and publishing content across platforms including Instagram, TikTok, Facebook, YouTube and X, • Writing captions, scripts and post copy aligned to brand tone of voice, • Scheduling and publishing content through social media management tools, • Monitoring performance and optimising content based on engagement and platform insights, • Managing community conversations including comments, messages and mentions, • Identifying opportunities for reactive, trend-led and culturally relevant content, • Working closely with internal creative, PR and account teams to deliver integrated campaigns, • Supporting wider campaign launches with social-led thinking and execution What skills you will need • Highly organised and detail-oriented, with exceptional attention to detail, • Strong communicator, with excellent verbal and written skills to engage with clients, media, and internal teams, • Takes initiative - proactive, self-motivated, and resilient, • Creative and trend-savvy - passionate about social media, content trends, and digital innovation, • 1-2 years within a similar role (agency experience preferred), • Experience with PR and media relations is a plus, • Experience with social media management tools (e.g., Emplifi, Hootsuite etc.) is required, • Facilitation of photo/video shoots – liaising with photographers, drawing up storyboards and photo briefs, managing shoots on the ground, • Research and development skills, e.g. liaising with suppliers, managing timelines, arranging calls, agendas and meeting actions, • Creation of and tracking small to medium scale budgets, including sourcing supplier costs, creating quotes, tracking invoices, • Experience working with influencers on earned basis – liaising with influencers and influencer agents, organising influencer-based activity, negotiating deliverables, reporting on influencer statistics, • Understanding of key social channels preferable (Instagram, Facebook, X, LinkedIn, YouTube etc), • Involvement in integrated campaigns involving wider marketing, social media and web teams preferable – understanding of how different channels work and requirements for each Why work with us As an employee owned business you become part of a bold, creative agency where your voice matters, your growth is nurtured, and your wellbeing is genuinely supported. Perks & Benefits Including... • Employee owned bonus schemes, • Private healthcare, • 28 days holiday, • Hybrid and flexible working, • £250 wellbeing allowance, • 4:30pm Friday finishes, • Personal and team social budgets, • Recognition awards, • Breakfast on office days, • Company-wide social events (legendary summer and Christmas parties), • Cycle to Work scheme, • Dog-friendly office, • Ongoing training & development Our values We’re a dickhead-free zone: We’re a kind and compassionate bunch. We’re not about egos. It’s team first, and we want to work with like-minded people. We take the initiative: Proactivity and curiosity make great communicators, which is why we’re always on the front foot. We relish a challenge: Ground-breaking work isn’t easy. If it were, everyone would be doing it. We take pride in nurturing talent: Show the application and drive, and we’ll support you every step of the way. We want people to be themselves: Everyone is different. We believe you get the best out of people when they can be who they want to be. We do cool shit: We get a kick out of doing stuff that gets noticed.

Job Details Job Location: London, UK – ideally able to work in-office 1x per week Job Terms: Fixed Term Contract, 30 hours per week Work Authorization: This role does not support work visa sponsorship now or in the future. About the team Our Associate Measurement Lead (AML) team are experts in understanding how to help advertisers succeed on Reddit’s media platform. They support our partners at Reddit by optimizing media campaigns, identifying target audiences, and measuring the impact of marketing efforts on Reddit. A Manager (or Program Lead) on this team is responsible for leading a reduced study volume while managing ~5 AMLs (or project analysts) on the team. About the role The AML Program Lead is responsible for servicing the Reddit account through the development of high-quality work, leading the onboarding and training of all team members, and managing up to 5 AMLs to ensure they meet their own goals. In this role, they will build skills and expertise as a research partner to our clients as well as mentorship skills to more junior team members. This person will also have opportunities to support strategic conversations among internal and external leadership teams. This person will have strong communication and organization skills, previous mentorship experience, close attention to detail, and proactively seeks to identify and implement process changes to constantly work smarter and more efficient. Primary Responsibilities: • Execute brand lift studies from start to finish on the Reddit platform by leading kick-off calls, setting up new studies, designing surveys, analyzing data, writing final reports, and presenting results to internal and external teams., • Oversee up to 5 AMLs and ensure team members meet their AML Program goals by maintaining accurate data tracking, performing quality checks to ensure accuracy across project work, cross project work, regularly providing feedback from team members and stakeholders to identify areas for growth, and taking action to enhance program efficiency., • Create onboarding plans and supporting materials to fully onboard new hires, such as trainings on study methodology to guiding team members on how to effectively present Brand Lift results to clients with actionable recommendations that are tied to research objectives., • Develop expertise in key advertiser verticals and pilot new research solutions for our main client as needed., • Lead weekly internal meetings to cascade account updates, share learnings, and highlight new product/process changes that impact day-to-day work., • Exhibit critical thinking to drive process improvements and address issues proactively alongside Kantar/Reddit leadership teams to constantly improve our client relationship., • Closely partner with the AML Program Manager and North America Program Leads to identify knowledge gaps across team members, align on program needs, help escalate cross-functional feedback, and support the growth of our program YOY., • Foster a positive work environment by recognizing team achievements, encouraging open communication, and promoting engagement. Essential Knowledge & Experience • 2+ years advertising research / measurement experience with knowledge of experimentation and brand lift methodologies, • 1+ years of people management or at least 6 months of experience in the AML program, • 1+ years of client facing experience and a track record of success in client interactions, preferably in digital ad research, digital ad tech, at a research supplier, a media owner, brand, or agency partner., • Exceptional written and oral communication skills – you’re articulate and engaging, a data-driven storyteller that’s passionate about measurement to inspire and drive action using logical reasoning., • Strong detail-orientation, process and time management skills, and capable of prioritizing and delivering against multiple/competing deadlines and collaborate cross-functionally; prior project management experience preferred., • Natural curiosity, can-do attitude, and a track record of taking initiative to drive lasting change., • Ability to handle tricky conversations with clients in a productive way that demonstrates your commitment to being a long-term partner and ability to navigate delicate situations, such as sharing constructive feedback., • Undergraduate degree with coursework in marketing, business administration, economics, statistics, math, social sciences, or a related field., • Proficient computer skills in Microsoft office and Google Suite tools. Experience with Salesforce preferred and an ability to master other business tools as needed (e.g., data management / cross tab and other proprietary tools).

Sales Representative - No Experience OTE of £25,000 - £30,000 per annum - Immediate Starts Available Are you looking for an opportunity to work with a company that supports your career ambitions and helps you build new expertise? Looking to start your career in an exciting, high-energy, and collaborative team environment? Our client, based in London, is currently looking for driven and enthusiastic individuals, with full-time availability to start in their thriving sales team due to their clients' high demand for new customers. You will be given full client training so that you fully understand who you are representing, as well as the structure of the business and how you can make the most out of the role on offer. Benefits: • Immediate Starts Available, • Ongoing support and additional help offered for those looking to progress, • Skill sharing and one-on-one coaching will be offered so you can upskill in development areas such as customer service, sales, negotiation, confidence, motivation, leadership, recruitment, finance, and much more, • Business development programme for those who want to take on leadership roles and additional responsibilities, • Learn tried and tested techniques for higher rates of customer acquisition, customer engagement, customer service, and sales retention, • As part of the initial onboarding process, you will be able to shadow an experienced sales team leader, who will show you the ropes and help you get started, • Weekly pay: Brand awareness fee plus commission earnings and incentives for hitting daily/weekly targets., • A spirited and upbeat team setting that enjoys regular weekly socials Responsibilities: • To attend initial training in the office, and our client recommends you also attend ongoing skill development sessions to enhance your ability to make sales and provide a good customer experience, • To learn about the client, their products and services, and important statistics and information that can help you speak with customers and keep them informed, • Engage in sale across various face-to-face campaigns within London, creating brand awareness, and generating sales on behalf of your client, • Provide feedback on locations and sales stats/ratios to help the company better understand their processes and how to improve them Requirements: • Customer-facing experience is ideal but not essential for success; no experience is required., • Willingness to undergo training and attend skill development sessions to improve sales ability, • No qualifications needed, • Availability to work 4/5 full days a week between Mon-Sat, • Must have excellent English speaking skills and be comfortable communicating with members of the public If you are interested or would like to hear more about this self-employed role with an immediate start, please apply to this advert and follow the online application process. After you click the apply button, please answer all the questions to the best of your knowledge. If you answer 'no' to any of them, you will not be considered for the role. This role is not suitable for candidates still in education (school/college/university), or current international students. Due to availability; our client is seeking candidates who can work 4/5 full days per week. • Please note, by applying to this advert you acknowledge our privacy policy applies and give consent for Blackwater Recruitment to share the data you provide with our client so that they may contact you regarding the role or any other role they deem you suitable for. For more information, please see our website before applying.

Amazing Perks, Full Training & Immediate Career Launch in Central London! Ready to transform your career right now? Are you looking for a fresh start, a career boost, or simply a new opportunity to seize the moment and start strong? This opportunity could be your launchpad! Join a thriving, ambitious sales team in Central London and commit to your personal and professional development with an immediate start! Our London-based client is seeking motivated and enthusiastic Sales Advisors with full-time equivalent availability to join their expanding team. You will be given full client training so you fully understand who you are representing as well as the structure of the business and how you can make the most out of the role on offer. Benefits of Making This Your New Career Start NOW: • Immediate Start Offered: Begin your training and earning now, with the chance to build momentum immediately!, • Structured Career Progression: Ongoing support and dedicated help are offered for those looking to climb the career ladder in 2026., • Unrivalled Skill Development: Up-skill through one-on-one coaching and skill-sharing sessions in vital areas such as: customer service, sales, negotiation, confidence, motivation, leadership, recruitment, and finance., • Business Development Programme: A clear business development programme is available for those ambitious individuals who want to take on leadership roles and additional responsibilities., • Training: Learn tried and tested techniques for higher rates of customer acquisition, customer engagement, customer service, and sales retention., • OTE of up to £25-£30k within your first year, paid on a weekly basis from commission-based earnings for hitting daily/weekly targets for this self-employed role., • Vibrant Team Culture: A spirited, upbeat team setting that enjoys regular weekly socials to celebrate successes and build strong connections. Key Responsibilities: • Attend initial training in the office and ongoing skill development sessions to enhance your ability to make sales and provide an excellent customer experience., • Learn about the client, their products and services, and key information to confidently and accurately inform customers., • Face-to-Face Engagement: Speak with members of the public within face-to-face event environments. The main purposes to provide a face for the brand, create brand awareness and produce sales on behalf of you client., • Provide valuable feedback on locations and sales statistics/ratios to help the company understand and improve its processes. Requirements: • Full-time Availability: MUST be able to work 5 full days a week - this role is not suitable for students, or current international students due to the full-time commitment required., • No Experience Necessary: Customer-facing experience is ideal, but not required to be successful. We believe now is the perfect time to gain new skills!, • Eagerness to Learn: Willingness to undergo training and attend skill development sessions to quickly improve sales ability., • Commitment: Must be willing and able to commute daily to the office based in London., • Communication Skills: Must have great English speaking skills and be comfortable communicating with a wide range of the public. Seize this opportunity to secure a new career today! Our client welcomes those who have recently completed/graduated (School/College/University) looking for full time equivalent career opportunities, 5 days per week (Between Mon-Sat). • Please note, by applying to this advert you acknowledge our privacy policy applies and give consent for Blackwater Recruitment to share the data you provide with our client so that they may contact you regarding the role or any other role they deem you suitable for. For more information, please see our website before applying.

This is an opportunity for you to lead projects that use cutting edge health economic methods to solve challenging issues in healthcare. It’s also an opportunity to help shape the growth and development of a fast developing team. Key Responsibilities: • Project Leadership: Lead day-to-day project activities, managing both internal teams and client relationships., • Solution Design: Develop and present clear, accessible solutions to complex health economics problems., • Expertise Application: Apply health economics and statistical methods in a variety of analyses and evaluations., • Team Leadership: Mentor and develop less experienced team members, providing guidance and support., • Business Development: Support proposal writing and client presentations to drive new business. Skills & Experience: • Experience: Significant experience in Health Economics or Statistics, preferably in a consultancy., • Education: A 2:1 or higher degree in a numerate/science subject, plus a health-related Master’s or PhD., • Technical Skills: Strong background in health economics/statistical analyses (HTA submissions, survival analysis, utility analysis)., • Desirable: Experience with external comparators (e.g., MAICs), market access strategy, and business development., • Software Skills: Proficient in Microsoft Office; programming experience in R/Python is a plus., • Communication: Strong written and verbal communication skills to present complex concepts clearly. Types of Projects: • Health Economic Evaluations, • Real-World Evidence, • Market Access & Strategy, • Clinical Trial Data Analysis

Equities Quant Developer (Python) – Madrid Madrid £80,000 – £130,000 Build the systems that shape portfolio decisions at a leading multi-strategy hedge fund - while based in Madrid. This is a role for someone who enjoys owning real products end-to-end. You’ll work directly with portfolio managers and strategy teams, turning messy datasets into tools, dashboards, and analytics that actually drive investment decisions. It’s less about theory-heavy modelling and more about building robust, production-grade systems that people rely on every day. Think: decision-support tools, performance analytics, and data pipelines that turn raw information into actionable insight. You’ll get London-level compensation, but with a Madrid lifestyle - and a high degree of autonomy in how you build and ship. What you’ll do • Design and build end-to-end applications that support strategy, from data ingestion through to front-end dashboards and visualisation tools., • Work directly with PMs and analysts to understand problems, define requirements, and deliver practical solutions that improve decision-making., • Develop systems that analyse performance, evaluate strategies, and surface insights from large and often messy datasets (including alternative data)., • Own your work fully: from initial idea and architecture through to deployment, iteration, and long-term maintenance., • Collaborate with technology and AI teams to scale tools and integrate them into the broader investment platform. What you’ll need • Strong Python skills (core requirement), with experience building production-grade applications and working with large datasets; SQL expected., • Around 2+ years’ experience in a quant dev, data, or similar engineering-focused role., • Ability to operate independently: comfortable taking problems from vague idea to a fully working solution without heavy structure or hand-holding., • Experience building full-stack or end-to-end systems (data pipelines, back-end services, dashboards/visualisation layers)., • Solid grounding in data science/statistics and experience working with time-series or structured datasets., • Strong ownership mindset: you write it, you run it, you improve it. Nice to have • Exposure to financial markets or equities., • Experience working with alternative data or investment teams. About the company A leading London-based multi-strategy hedge fund, known for combining technology, data and quantitative thinking across its investment teams.

Senior Data Scientist 🚀 Series A Tech Start-Up 🚀 💸£90k - £122k plus equity & benefits 📍London, Hybrid ✅Innovative, collaborative culture, business driven by AI ✅Inspiring leader, passionate about this disruptive proposition with strong green impact ✅Chance to own shares in a scaling organisation, drive towards exit and IPO Omnis Partners are exclusively partnered with an innovative start-up that is transforming e-commerce through AI-driven solutions. With significant funding and ambitious expansion plans, they are now hiring exceptional talent to build out their Data Science team. Founded by industry experts, this fast-scaling London-based company leverages machine learning software for e-commerce, reducing costs and enhancing efficiency. Backed by significant funding, they are rapidly expanding their infrastructure and AI-driven platform. You will operate as part of a highly collaborative, innovative team to deliver data science solutions, under the leadership and guidance of an inspiring thought leader, in your Data Science Director. We are hiring for an experienced generalist Senior Data Scientist with strong modelling capabilities, particularly forecasting and timeseries analysis, amongst a broader data science skill set built to predict demand, but optimise how a complex system runs. You will be joining a high-calibre team, with significant opportunities for career development in a hyper-growth, AI-driven business. If you thrive in high-performing teams and want to make a meaningful impact in a disruptive tech-driven company, we’d love to hear from you. Experience Required: • Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc., • Strong programming skills with Python, building algorithms and models, and working with large, messy, complex data sets to model optimised process and performance., • A deep background in applied data science within a commercial context, comfortable with fast paced, rapid growth culture., • Experience of working in a client or business-facing environment, demonstrable skills in building trust and commercial discourse around leveraging ML and AI to solve real-world business problems., • A proactive mindset, intellectual curiosity, and the ability to thrive in a fast-changing environment.

Lead Data Scientist Up to £125,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: • Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn, • Evaluate and optimise all models, identifying areas for development, • Work end-to-end both building and deploying models, • Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements, • Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value., • Remaining technically very hands on whilst mentoring Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong coding skills in Python and SQL, • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

Job Title: AI Solution Engineer ( Project Manager ) Location: Hybrid (UK) Work Type : Permanent Overview: TekWissen is a global workforce management provider throughout the UK, Europe and many other countries in the world. Client is a leading global professional services network operating in over 150 countries, offering assurance, consulting, and tax advisory services. The firm helps clients address complex business challenges, manage risks, and drive transformation through technology and innovation. It is recognized for its strong ethical standards, industry expertise, and commitment to building trust and sustainable growth. Job Description: • We are looking for an experienced AI Solution Engineer to act as the link between client’s industry architects, who identify AI business cases, and the firm’s development capabilities., • This role shapes AI solutions, meets client needs, and delivers measurable business value and technically feasible solutions., • The AI Solution Engineer is a key technical resource responsible for selecting, designing, demonstrating, and delivering prototype solutions that align with customer needs and business goals during early engagement., • As a trusted advisor, the Solution Engineer has a strong mix of technical expertise, problem-solving skills, and business acumen to effectively create cloud prototypes to demonstrate and communicate the value of solutions to both technical and non-technical stakeholders., • They provide experience in identifying viable and feasible AI solutions to address specific client issues and demonstrate client’s technical capability as part of proposals., • They demonstrate extensive knowledge of hyperscaler AI offerings, understanding all of the technical requirements and dependencies of a product/solution and explaining them to potential clients What your days will look like • Primarily sales-oriented, this role is focused on supporting the sales process by bridging the gap between technical teams and non-technical salespeople., • The role helps sales teams select and prospects understand the AI/ML solution, demonstrates how it solves their business problems, and assists in demonstrating AI technical excellence to the client in the early sales process This role is for you if you have • Extensive experience working with sales teams and shaping viable and feasible software solutions as part of process change for enterprise customers, • AI Model Architecture – Evidenced expertise in LLMs, SLMs, (Large Language Models/Small Language Models) performance, suitability, training requirements, and deployment, • Cloud & Hyperscalers – Practical experience with at least two of the following is required: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML is required, • An understanding of underlying statistics, machine learning and data science, data engineering and big data concepts is required, • An understanding of the process and data complexities and prerequisites, and success criteria needed to deliver a solution that meets user and business needs, • Cloud Security & FinOps – Knowledge of landing zones, security, and AI cost optimisation What you’ll receive from us • No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions., • We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more. Required Skills Optional Skills

Job Details Job Location: London, UK – ideally able to work in-office 1x per week Job Terms: Fixed Term Contract, 30 hours per week Work Authorization: This role does not support work visa sponsorship now or in the future. About the team Our Associate Measurement Lead (AML) team are experts in understanding how to help advertisers succeed on Reddit’s media platform. They support our partners at Reddit by optimizing media campaigns, identifying target audiences, and measuring the impact of marketing efforts on Reddit. A Manager (or Program Lead) on this team is responsible for leading a reduced study volume while managing ~5 AMLs (or project analysts) on the team. About the role The AML Program Lead is responsible for servicing the Reddit account through the development of high-quality work, leading the onboarding and training of all team members, and managing up to 5 AMLs to ensure they meet their own goals. In this role, they will build skills and expertise as a research partner to our clients as well as mentorship skills to more junior team members. This person will also have opportunities to support strategic conversations among internal and external leadership teams. This person will have strong communication and organization skills, previous mentorship experience, close attention to detail, and proactively seeks to identify and implement process changes to constantly work smarter and more efficient. Primary Responsibilities: • Execute brand lift studies from start to finish on the Reddit platform by leading kick-off calls, setting up new studies, designing surveys, analyzing data, writing final reports, and presenting results to internal and external teams., • Oversee up to 5 AMLs and ensure team members meet their AML Program goals by maintaining accurate data tracking, performing quality checks to ensure accuracy across project work, cross project work, regularly providing feedback from team members and stakeholders to identify areas for growth, and taking action to enhance program efficiency., • Create onboarding plans and supporting materials to fully onboard new hires, such as trainings on study methodology to guiding team members on how to effectively present Brand Lift results to clients with actionable recommendations that are tied to research objectives., • Develop expertise in key advertiser verticals and pilot new research solutions for our main client as needed., • Lead weekly internal meetings to cascade account updates, share learnings, and highlight new product/process changes that impact day-to-day work., • Exhibit critical thinking to drive process improvements and address issues proactively alongside Kantar/Reddit leadership teams to constantly improve our client relationship., • Closely partner with the AML Program Manager and North America Program Leads to identify knowledge gaps across team members, align on program needs, help escalate cross-functional feedback, and support the growth of our program YOY., • Foster a positive work environment by recognizing team achievements, encouraging open communication, and promoting engagement. Essential Knowledge & Experience • 2+ years advertising research / measurement experience with knowledge of experimentation and brand lift methodologies, • 1+ years of people management or at least 6 months of experience in the AML program, • 1+ years of client facing experience and a track record of success in client interactions, preferably in digital ad research, digital ad tech, at a research supplier, a media owner, brand, or agency partner., • Exceptional written and oral communication skills – you’re articulate and engaging, a data-driven storyteller that’s passionate about measurement to inspire and drive action using logical reasoning., • Strong detail-orientation, process and time management skills, and capable of prioritizing and delivering against multiple/competing deadlines and collaborate cross-functionally; prior project management experience preferred., • Natural curiosity, can-do attitude, and a track record of taking initiative to drive lasting change., • Ability to handle tricky conversations with clients in a productive way that demonstrates your commitment to being a long-term partner and ability to navigate delicate situations, such as sharing constructive feedback., • Undergraduate degree with coursework in marketing, business administration, economics, statistics, math, social sciences, or a related field., • Proficient computer skills in Microsoft office and Google Suite tools. Experience with Salesforce preferred and an ability to master other business tools as needed (e.g., data management / cross tab and other proprietary tools).

White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you’ll do * Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. * Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. * Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. * Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. * Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we’re looking for * Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. * A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. * Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices * Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. * Familiarity with both pre-training and fine-tuning of large-scale models * Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. * A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. * A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We’d love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What’s in it for you * Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation * We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) * Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave * Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: * REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies * OutFront – to provide LGBTQ+ support for all associates * Mind Your Mind – signposting support and promoting positive mental wellbeing for all * Women in Tech – promoting an inclusive environment in tech * EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Job Title: Consumer & Market Insights Executive (Retail) The Role A client in the global retail and fashion industry is seeking a Consumer & Market Insights Executive / Research Analyst to join the team for 12 months. You will support global and regional insight programmes, contribute to brand tracking, trend monitoring and cross-category research, and help turn data into clear, actionable insights. You will work closely with the Global CMI team to strengthen consumer understanding and support strategic decision-making across the organisation. Responsibilities • Support day-to-day management of the global brand health tracker across multiple markets, • Act as a key point of contact for external research agencies, • Assist in producing quarterly brand health summaries and reports, • Coordinate campaign and competitor activity within the tracker, • Respond to regional teams’ ad hoc data and insight requests, • Identify relevant consumer and cultural trends for weekly tracking, • Use tools such as Kantar Monitor to explore macro consumer shifts, • Synthesise insights from desk research, social listening and multiple data sources, • Support delivery of cross-category research projects from set-up to reporting, • Assist with questionnaire design, sampling and project coordination, • Conduct quality checks at all stages of the research process, • Analyse quantitative data and interpret data tables, • Translate data into clear insights and support the development of presentations, • Build strong relationships with internal stakeholders and external partners, • Support project set-up, vendor onboarding and purchase order processes, • Coordinate meetings and maintain accurate project documentation Requirements • One to two years of experience in market research, insights or analytical roles, • Degree at 2:1 or above in a relevant discipline, • Experience working with quantitative research and large datasets, • Strong analytical skills and ability to derive actionable insights, • High attention to detail when handling and analysing data, • Proficiency in Excel and PowerPoint, • Strong organisational and time management skills, • Excellent communication and stakeholder engagement skills, • Curiosity about consumer behaviour and brand relationships, • Proactive, self-motivated and collaborative working style, • Desirable experience with brand tracking or continuous quantitative programmes, • Exposure to client-facing research environments, • Understanding of statistics and quantitative methodologies, • Industry qualifications such as MRS certification are beneficial Details • Start date: ASAP, • Duration: 12 months, • Salary: £60,000 – £80,000 DOE, • Location: Remote, with some travel to London

Join US as Insights Associate – Center of Excellence (COE) Team! Full-Time | Entry-Level (0–1 year experience) Hybrid: 2–3 Days Onsite at London Office Please note: This role does not offer sponsorship now or in the future Are you curious about why people buy what they buy? Are you energized by uncovering insights that help the world’s biggest brands make better decisions? Join us at Behaviorally as an Insights Associate, where you’ll learn from the best, work with cutting-edge AI tools, and help shape the future of shopper marketing. This is your opportunity to jumpstart a meaningful career in insights, working alongside a passionate team dedicated to understanding, predicting, and influencing consumer choice. As an Insights Associate, you will: • Support the execution of research studies that help brands win at the moment of purchase, • Act as a point of contact for client communications and day-to-day questions, • Coordinate with internal teams to ensure projects are delivered on time and on budget, • Help build project timelines and manage key milestones, • Analyze data and translate findings into clear, actionable reports, • Gain hands-on experience with Behaviorally’s product stack and digital research tools, • Participate in our Global Insights Academy—our immersive training program for new talent What you’ll bring: • Motivation – you’re eager to learn, grow, and make an impact, • A Master’s degree in Marketing, Statistics, Social Sciences, or a related field (Bachelor’s may be considered with relevant experience), • The ability to manage multiple tasks and prioritize in a fast-paced environment, • Strong attention to detail, time management, and organizational skills, • Excellent verbal and written communication, • A natural curiosity about consumers and what drives their choices What You'll Enjoy as Part of the Team: We know people do their best work when they feel trusted, supported, and valued. That’s why our benefits go beyond the basics: • 25 Days Holiday Pay – your time matters, • Hybrid work flexibility – 3 days onsite at our London UK office, • Competitive salary with performance bonus opportunities, • Health and wellness benefits, • Pension Scheme Enrollment, • Ongoing training, mentorship, and development opportunities, • Company-sponsored team events, recognition programs, and celebrations Why Behaviorally? We are the global market leader in digital shopper research, but what sets us apart is how we work: • Digital-first, behavior-focused: We prioritize agility, speed, and relevance, • Human-centered: We put people—shoppers, clients, colleagues—at the core of every decision, • Growth-oriented: We invest in our people and are proud to promote from within, • Transparent and grounded: We share goals, results, and accountability—top to bottom, • Join a team of curious minds, candid communicators, and committed collaborators who are passionate about redefining what shopper research can be. We Value Every Voice At Behaviorally, inclusion isn’t a buzzword—it’s a commitment. We believe diverse perspectives lead to better thinking and stronger solutions. We’re proud to be an Equal Opportunity Employer and welcome applicants from all backgrounds, identities, and experiences. Let’s define the future of shopper research together. Apply now to join Behaviorally.

Senior Data Analyst (MMM/Econometrics) West London - Hybrid - 4 days on site Salary - up to £70,000 + bonus The Company A data-driven marketing and technology business within a global communications group. Their focus is on helping brands better understand customers and measure the real commercial impact of marketing activity. The Role • Act as a senior analytics partner to clients, translating complex measurement and modelling concepts into clear, practical insight., • Lead and contribute to post campaign analysis, audience evaluation, and effectiveness measurement across digital and customer marketing activity., • Support client conversations around marketing measurement and econometrics, including engaging with external measurement partners and challenging assumptions, methodologies, and limitations., • Analyse large-scale customer and transactional datasets to identify trends, opportunities, and actionable recommendations., • Collaborate with internal teams across analytics and the wider group, providing subject matter expertise on measurement, experimentation, and effectiveness., • Operate with a high degree of independence while aligning to agreed analytical frameworks and standards. Your Skills and Experience • Strong commercial experience in marketing or customer analytics within an agency or client environment., • Deep understanding of marketing measurement, including MMM and econometrics principles, with experience working closely with these models., • Solid grounding in statistics and experimentation, • Experience analysing customer and campaign data to inform targeting, optimisation, and strategic decision making., • Confident working with SQL and a data visualisation tool., • Able to tell a clear data story and build credibility with senior client stakeholders. What They Offer • Competitive salary of up to £70,000, plus bonus., • Hybrid working, • Exposure to high profile retail and consumer brands., • Clear scope for professional growth within a well established analytics function and a wider global group. How to Apply If you are looking for a senior analytics role with real client influence and intellectual challenge, apply now to learn more.

Technical Analyst / Senior Technical Analyst – Energy Transition Location: Hybrid / Central London £50,000-£60,000pa DOE Climate17 are working with a leading, specialist energy transition advisory firm to appoint a Technical Analyst / Senior Technical Analyst into a high-impact, high-ownership role. Our client is an established and highly respected consultancy operating at the forefront of European energy markets. They advise major utilities, infrastructure funds, and investors on complex commercial and strategic questions across power and gas markets. This position sits at the intersection of engineering, data, modelling and AI. It offers the opportunity to build the technical backbone that underpins investment-grade analysis and client-facing insight. The Opportunity This is a role for someone with a strong engineering foundation and a builder’s mindset. You will work close to the commercial and consulting teams, translating real-world market questions into robust technical systems. The centre of gravity is Python engineering, data platform development, and modelling infrastructure. There is also a strong opportunity to shape how AI tools are embedded into consulting workflows. You will have meaningful autonomy and influence over technical architecture, standards, and tooling. Key Responsibilities Build and Operate a Modern Data Platform • Design and maintain data pipelines to ingest, validate, and publish curated datasets used in modelling and dashboards., • Establish robust data quality, observability, monitoring, and documentation practices., • Develop scalable database and storage architectures, including lake/lakehouse concepts (partitioning, schema evolution, versioning, governance)., • Apply strong SQL and data modelling principles to support performance and reliability. Strengthen the Energy Modelling Environment • Develop reusable Python packages and services supporting market scenario modelling and investment workflows., • Improve reproducibility and reliability of modelling runs (configuration management, structured logging, versioned scenarios)., • Raise engineering standards across testing, code review, CI/CD, and maintainable architecture. Implement Scalable AI Solutions (Agents + RAG) • Prototype and productionise internal AI tools to support research, drafting, document extraction, synthesis, and knowledge search., • Build end-to-end RAG systems including ingestion pipelines, embeddings, retrieval strategies, reranking, evaluation frameworks, and monitoring., • Ensure safe-by-design implementation, with appropriate access controls, auditability, and data governance. (Desirable) Develop Lightweight UI Tools • Create simple web applications and dashboards enabling analysts and clients to explore data and model outputs., • Translate business requirements into intuitive user experiences backed by secure APIs. Example Project Ownership • Building a curated time-series lakehouse covering fundamentals, prices, and market curves with lineage and quality controls., • Developing a scenario management system enabling versioned, reproducible market simulations., • Deploying a permission-controlled RAG assistant across internal research, models, and deliverables., • Supporting development of a client-facing data portal., • Designing interactive dashboards to explore sensitivities and scenario comparisons. Candidate Profile • Quantitative degree (Engineering, Mathematics, Physics, Computer Science, Statistics or similar)., • 3+ years’ experience building production-grade software or data systems., • Strong Python engineering capability beyond notebook environments., • Strong SQL and data modelling expertise., • Ability to take ownership of ambiguous problems and deliver structured, production-ready solutions., • Clear communication and documentation skills., • Rapid learner, comfortable working across evolving technologies. Advantageous • Experience with data platforms and database architecture., • UI development experience (React + JavaScript/TypeScript or similar)., • AI engineering exposure., • Experience building RAG systems and working with vector databases., • Docker, CI/CD, deployment practices and secrets management., • Energy markets exposure (not essential; sector knowledge can be developed). Why This Role? • Work on tools that directly inform high-stakes investment decisions., • Operate in a technically ambitious but commercially grounded environment., • High autonomy and scope to shape architecture and engineering standards., • Meaningful exposure to European energy transition dynamics. About Us Climate17 is a purpose-led, international Renewable Energy & Sustainability recruitment firm. We provide specialist talent acquisition services to organisations seeking to reduce their environmental footprint, as well as those working towards the decarbonisation of the energy sector. Inclusive Application Process Climate17 is committed to creating a diverse, inclusive, and equitable workplace. We believe there is no solution to climate change without people. We aim to increase diversity across all areas and as such, we are committed to partnering with clients and candidates to create an inclusive and sustainable regenerative world.

Senior Data Scientist – Core Products About the business: At Cirium, our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling financial institutions, aircraft manufacturers, tech giants, airlines, airports, travel companies, and many more accelerate their own digital transformation. You can learn more about Cirium at the link below. About the Team: Data Science Core is a key pillar of the Data Organisation. By leveraging the latest advancements in AI and ML, the team paves the way for the future of the business, providing new predictive insights for our products, and new ways of working for our internal teams through AI workflows. Our projects are wide ranging, touching every part of Cirium. Our environment supports autonomy, learning, and inclusive collaboration, with an emphasis on delivery at pace. About the Role: The Senior Data Scientist will work closely with both our client-facing and Product teams to enhance our analytical capabilities in support of scalable, customer-led solutions. This position emphasizes rapid prototyping of models and workflows, promoting agile iteration and continual improvement. Effective communication with stakeholders is essential, ensuring that business requirements are clearly translated into technical solutions. The role also includes developing reusable frameworks for emerging use cases and contributing to the advancement of our data science expertise and capabilities. Responsibilities: • Hands-On Development - Apply expertise in statistics, machine learning, and AI to build efficient analytics workflows for internal teams and customers, using an iterative approach., • Mentorship - Act as a technical leader and mentor for junior data scientists, supporting skills development and best practices., • Collaboration - Partner closely with Product, Engineering, and Data teams to ensure solutions are scalable, reliable, and aligned to Cirium’s strategy., • Communication & Business Application - Communicate complex analytical concepts clearly to non‑technical stakeholders, including senior leadership, focusing on business outcomes., • AI Adoption - Drive changes in company practices through AI adoption, acting as a key enabler in leveraging AI across teams., • Leadership & Ownership - Take initiative and lead projects, delegate tasks as needed and engage regularly with stakeholders to enable high-value initiatives and ensure continued alignment. Requirements: • Experience working as a data scientist in a commercial setting, with a proven track record of delivering commercial value through data science initiatives., • Excellent Python and SQL skills., • Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production., • Data engineering skills, with the ability to manipulate and process data at scale., • Curiosity to explore and delve into emerging capabilities with a clear link to commercial value., • Highly self-directed, capable of managing tasks, projects, and stakeholders independently., • Demonstrated track record of delivering analytics projects through R&D and discovery to production, with a clear understand of the Data Science & Machine Learning Lifecycles., • Demonstrated track record of implementing and fine-tuning LLM/AI workflows., • Strong competency leveraging Gen AI in your daily tasks to speed up efficiency., • Excellent communication skills, able to work across departments, engage with senior leadership, and work directly with our customers., • Experience with the AWS stack, Spark, Databricks, and/or Snowflake is desirable. Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Generous holiday allowance with the option to buy additional days ● Health screening, eye care vouchers and private medical benefits ● Wellbeing programs ● Access to a competitive contributory pension scheme ● Save As You Earn share option scheme ● Travel Season ticket loan ● Electric Vehicle Scheme ● Optional Dental Insurance ● Maternity, paternity and shared parental leave ● Employee Assistance Programme ● Access to emergency care for both the elderly and children ● RECARES days, giving you time to support the charities and causes that matter to you ● Access to employee resource groups with dedicated time to volunteer ● Access to extensive learning and development resources ● Access to employee discounts scheme via Perks at Work

🚀 Data Scientist – Solar, BESS & Emerging Energy Tech 📍 London (Hybrid) I am looking for a Data Scientist to join a fast-growing clean energy developer working across solar PV, battery energy storage (BESS), and next-generation energy technologies in the UK. This is not a typical entry-level role, you’ll be embedded in a high-impact engineering and development team, applying data science to projects that directly influence how energy is generated, stored, and distributed. 🌍 About the Company A dynamic and rapidly scaling clean energy developer with a multi-gigawatt pipeline of solar and battery storage projects across the UK. The team has a strong track record of delivering projects from concept through to consent. You’ll be joining a close-knit, entrepreneurial team where your ideas are heard, your work has visible impact, and your career can accelerate quickly. The business is also exploring emerging areas such as data centres and onshore wind, offering exposure beyond traditional renewables. 🔧 What You’ll Be Doing • Build and maintain geospatial screening tools to identify and rank development sites, • Develop energy market models & revenue forecasts for solar and BESS projects, • Create dashboards and automated reporting tools to track performance and pipeline progress, • Work with large, complex datasets (grid, weather, project data), • Support engineering teams with power systems analysis and statistical modelling, • Apply machine learning techniques for yield prediction and optimisation, • Contribute to technical reports, planning submissions, and investor materials ✅ What We’re Looking For • Strong Python skills (pandas, NumPy, scikit-learn, matplotlib), • Experience with SQL and relational databases, • Exposure to geospatial tools (QGIS, GeoPandas, or similar), • Solid understanding of statistics and machine learning fundamentals, • Interest in renewable energy, power systems, or infrastructure, • Experience with data visualisation tools (Power BI, Plotly, Streamlit) is a plus, • Strong communication skills and ability to explain technical concepts clearly, • Proactive, curious mindset with a desire to learn and grow ⭐ Why Apply? • Work on high-impact renewable energy projects shaping the UK’s energy future, • Gain exposure to engineering, energy markets, and infrastructure development, • Be part of a growing, entrepreneurial team with real autonomy, • Accelerate your career in one of the fastest-growing sectors globally 📩 Interested? Apply now or message me directly to learn more.

Excellent opportunity for a Medical or Senior Medical Writer to join our team! This is a 12-month fixed term contract (maternity cover) Nucleus Network is a global leader in early phase clinical research, with dedicated facilities across Australia, the United States and the United Kingdom. Our UK site, HMR, is one of Europe’s largest clinical pharmacology units. We have 3 wards containing 145 beds, a laboratory, a pharmacy and supporting services, all located on one site in premises in North-West London. We seek high-calibre graduates, preferably with an MSc or PhD, who are highly organised with excellent writing skills and a proven understanding of clinical trial design. Understanding of basic statistics, would be a distinct advantage, and previous relevant employment history in the clinical trial or pharmaceutical industries is desirable. However, enthusiasm and commitment are more important than experience. As a Medical Writer (MW) or Senior Medical Writer (SMW), you’ll collaborate with multidisciplinary teams, across global sites, to support our early phase trials. • You’ll prepare high-quality trial documents such as protocols, participant information materials, submission packages, clinical study reports, and other critical outputs, all compliant to applicable regulations., • Attention to detail, proficiency in word processing, excellent time management skills, and proven scientific and analytic ability are essential for the position; specialist clinical writing experience, as well as broad regulatory understanding, is mandatory for the SMW role., • Overall, there’ll be plenty of opportunity to develop new skills and to pursue a career in our innovative and dynamic company., • You’ll receive extensive training and work alongside experts in data management, statistics, clinical pharmacology, and pharmacokinetics. Please e-mail your CV and a covering letter, outlining your experience and suitability for the position, to . N.B. applications without a covering letter will not be considered.

Data Analyst – Private Credit Intelligence (Forecasting & Simulation Support) Location: London (Hybrid) Salary: £45,000 – £55,000 + Benefits (plus meaningful equity participation) Start Date: ASAP About the Opportunity: We’re recruiting on behalf of an ambitious, high-growth organisation building an intelligence platform for private credit — turning large-scale, real-world financial behaviour into forward-looking insight for fintechs and investors. This is a Master’s-level Data Analyst role for candidates with up to 2 years’ experience post-Master’s. You’ll sit close to the core analytics and modelling roadmap—supporting forecasting and simulation work through high-quality datasets, scalable reporting, and reliable pipelines—while also owning key BAU data and reporting responsibilities. What You’ll Be Doing: • Owning BAU analytics and reporting: recurring KPI packs, portfolio/credit performance reporting, trend analysis, and stakeholder updates, • Building and maintaining clean, analysis-ready datasets from messy real-world sources (portfolio, transaction, performance, behavioural and macro/market inputs), • Supporting forecasting/simulation initiatives by:, • Preparing modelling tables, features, and cohort definitions, • Producing validation checks, back-testing support, and monitoring metrics, • Documenting assumptions and ensuring outputs are reproducible, • Developing scalable data workflows in SQL + Python (ingestion, cleaning, transformation, QA), • Improving data quality: reconciliation, anomaly detection, root-cause analysis, and automated checks, • Building and maintaining dashboards for multiple stakeholders, ensuring data is accurate, timely, and clearly presented, • Collaborating with data science/engineering to push reliable datasets into production and reduce manual effort What We’re Looking For: • MSc completed in a quantitative discipline (e.g., Data Science, Statistics, Mathematics, Computer Science, Physics, Econometrics, OR), • 0–3 years professional experience post-Master’s in a data analyst / analytics role (internships/placements welcome in addition), • Strong SQL skills and confidence working with relational data and large datasets, • Strong Python for analysis/automation (pandas, NumPy; good coding hygiene), • Essential: Dashboarding experience in Power BI, Tableau, or Looker (building and maintaining stakeholder-facing dashboards), • Solid understanding of analytics fundamentals: data cleaning, joining/aggregation logic, basic statistics, and QA approaches, • Comfort working in a fast-paced environment with a mix of BAU and project-based work, • Clear communication skills and a proactive, process-improvement mindset, • Full right to work in the UK (visa sponsorship not available) Desirable (Not Essential): • Exposure to credit / lending / risk / portfolio datasets, • Time series familiarity (trend/seasonality, cohorts over time, monitoring), • Experience with data tools such as dbt, Airflow, Snowflake/BigQuery/Databricks (or similar), • Experience creating automated data quality frameworks or reconciliation checks Benefits: • £45,000 – £55,000 salary, • Hybrid working in London, • Strong benefits package (details shared during process), • Meaningful equity participation, • High-impact role working with real-world private credit data and a product-led roadmap How to Apply: Please apply with your most up-to-date CV and I’ll be in touch ASAP to arrange an initial call and share further details.

We are working with a growing consumer finance fintech platform, who are looking to build out their Data and Analytics department. The team, who have recently received backing from a global Investment firm are now building out a Data and Analytics team in London - with a focus on supporting their Unsecured NPL Portfolio Investment team. This role is ideal for a technically strong, quantitatively minded professional with a background in statistics and data science, looking to apply their skills in financial services. While specific NPL experience is not required, a passion for large-scale data analysis and modern analytics frameworks is essential. You will work in a neo-bank/fintech-style environment, using cutting-edge technology to analyze terabytes of data and support high-impact investment decisions. Responsibilities: • Develop, implement, and validate statistical and machine learning models for analysing non-performing loan portfolios., • Collaborate with cross-functional teams—including credit, collections, and data engineering—to translate business objectives into robust analytical solutions., • Build software using modern technology to enable investing and asset management at scale., • Apply Bayesian modelling and probabilistic programming techniques to address uncertainty and improve prediction accuracy., • Analyse large-scale datasets to identify key drivers, trends, and early warning signals within NPL portfolios., • Clearly communicate model results, insights, and recommendations to stakeholders, including both technical and non-technical audiences., • Stay current with advances in statistical modelling, machine learning, and data science, continuously evaluating and integrating new techniques and tools. Requirements: • University degree in a STEM field (e.g., Mathematics, Statistics, Computer Science, Engineering, Physics, Economics); advanced degree preferred., • Strong expertise in statistical modelling, Bayesian inference, and machine learning., • Proficient in Python (using libraries such as NumPy, pandas, scikit-learn, PyMC or Stan), • Experienced in SQL. Ability to write efficient and robust queries., • Demonstrated experience working with large and complex datasets., • Ability to communicate complex analytical concepts clearly and effectively to a range of audiences., • Experience with model governance, documentation, and deployment best practices., • Experience with cloud environments (e.g., AWS Sagemaker)., • Experience with collaborative development tools (e.g., Git, JIRA) is a plus., • Prior experience in financial services, banking, or credit risk modelling is beneficial., • 5-8 years experience in a Data/Analytics role, ideally within a Financial Institution Why This Role • Opportunity to build an analytics function from the ground up in a cutting-edge, entrepreneurial environment., • Work with massive datasets and modern tools at the forefront of fintech innovation., • High-impact role directly contributing to investment and portfolio decision-making.

📍 Location: London 🏢 Department: Corporate Affairs 👤 Reporting to: Head of Marketing 📝 Contract Type: Permanent, Full-time (Mon–Fri, 9am –5pm) 💼 Salary: Competitive 🎁 Benefits: Excellent benefits package 🌍 Organisational Overview We are the leading trade association for the UK’s offshore energy industry, giving a voice to over 450 organisations and businesses throughout the country. OEUK is committed to fostering a thriving UK powered by homegrown, affordable energy — produced safely, responsibly, and sustainably. We engage, inform and champion the offshore energy sector and its workforce, collaborating with our members to meet the UK’s energy needs now and in the future. ✨ Role Summary We are seeking a talented Designer to join our Corporate Affairs team. This role is central to delivering high‑quality creative design that supports our communications, marketing, and brand objectives across digital, print, and internal platforms. Reporting to the Head of Marketing, you will play a key role in shaping and delivering creative assets that protect and promote OEUK’s reputation, support advocacy and marketing activity, and ensure consistent application of our visual identity across the organisation. You will work collaboratively with colleagues across Corporate Affairs and the wider business, translating complex and technical content into clear, engaging, and accessible visual communications. ✏️ Key responsibilities • 🎯 Design, develop, and deliver high quality layouts and artwork for reports, magazines, marketing materials, publications, and digital outputs, ensuring all materials meet OEUK’s quality and brand standards, • 📱 Create engaging visual assets for social media, press releases, websites, campaigns, and internal communications, ensuring content is accessible, on‑brand, and fit for purpose, • 🎨 Apply OEUK’s visual identity consistently across all platforms, supporting the ongoing development and evolution of the organisation’s brand, • 📊 Refine PowerPoint presentations and create reusable slide templates, providing advice and guidance to colleagues on effective visual presentation, • 🧠 Work with text heavy, data driven, and technical content, translating complex information, statistics, and policy material into clear and compelling visual formats, • ⏱️ Manage multiple design projects simultaneously, prioritising workload effectively and delivering to non‑flexible deadlines while maintaining accuracy and attention to detail, • 🤝 Collaborate with colleagues across Corporate Affairs and the wider organisation to understand design requirements and deliver appropriate creative solutions, • 🏭 Liaise with external agencies, freelancers, and suppliers as required, contributing to briefings and supporting the delivery of high quality outputs 👤 Person specification The successful candidate will bring strong creative and technical design capability, supported by a portfolio demonstrating high quality work across both digital and print environments. Essential criteria: • 🎓 Recognised design qualification or equivalent professional experience gained in an in‑house or agency environment, • 🖥️ Advanced proficiency in Adobe Creative Cloud, with strong skills in layout, image editing, and digital production, • 📰 Proven experience producing editorial layouts for reports, magazines, or similar text‑heavy publications, • 🖨️ Experience delivering both digital and print outputs, with a sound understanding of print production processes, • 🔍 Exceptional attention to detail, with strong proofreading skills and a commitment to producing accurate, polished work, • 📑 Confidence working with complex, technical, or data led content and translating this into clear visual communications, • 📅 Excellent organisational and time management skills, with the ability to manage competing priorities and work to fixed deadlines, • 💬 Strong communication skills, with the ability to explain design concepts clearly and work collaboratively with a wide range of stakeholders ⌛ Working Pattern This is a full-time role working 9am –5pm, Monday to Friday in an office environment. 🌟 Why Work at OEUK? Join us at an exciting time in the global energy transition. At OEUK, you can: • Support the UK’s offshore energy industry on its journey to net zero., • Develop valuable skills in a collaborative, inclusive, and forward-thinking environment., • Make a meaningful contribution to the industry and its workforce. 💙 Benefits include: • Learning & development opportunities, • 27 days annual leave (pro‑rata), • Hybrid and Flexible Working, • Competitive pension scheme, • Private medical cover, • Employee Assistance Programme, • Cycle-to-work scheme, • Ability to purchase/sell annual leave, • Life cover (4× salary) 📨 How to Apply Applicants should submit a Cover Letter, CV and a portfolio of relevant design work demonstrating experience across digital and print formats via by Friday 24th April 2026. For the full job description, please visit our careers page.

Procurement Manager Permanent Based in Solihull or London (3 days in office / 2 days at home) We are looking for a Procurement Manager to join our friendly and dynamic team here at Waterstones in either our Piccadilly, London or Solihull office. This is a new role where you will be responsible for ensuring Waterstones acquires necessary goods and services efficiently, cost-effectively, and with high quality, while managing supplier relationships and mitigating risks. This is a diverse role where you will be able to strategise and negotiate with suppliers and vendors, and ensure purchases of products, equipment, and services across the company align with the company's strategic objectives. This role will also require you to embed a strong, compliant and effective procurement to pay process embedded across the company and roll out a PO process. What you will be doing • Conduct research to source the best products and suppliers in terms of best value, delivery schedules, and quality, • Run tenders, evaluate bids, and make recommendations based on commercial and technical factors, • Negotiate and agree contracts, monitoring the quality of service provided, • Develop and maintain excellent relationships with teams who procure services or goods across the business. Help them understand how you can help them in their role and the importance of good procurement governance, • Build and maintain good relationships with new and existing suppliers, • Liaise between suppliers, manufacturers and relevant internal teams, • Forecast levels of demand for services and products, • Develop and implement a procurement to pay strategy ensuring strong compliance., • Work with other relevant stakeholders to roll out a PO process across the company, • Develop strategies to ensure cost savings and supplier performance targets are met or exceeded, • Ensure the security and sustainability of sources of essential products and services, • Forecast price trends and their impact on future activities, • Analyse data and produce reports and statistics on spending and saving, • Undertake value for money reviews of existing contracts and arrangements, • Ensure suppliers are aware of business objectives, • Keep up to date with trends and innovations, regulation, and new technology that can impact the business What we need from you • Experience in procurement, purchasing, or supply chain management, ideally within retail or ecommerce background., • Proven track record of managing procurement activities, including strategic sourcing, contract negotiations, and supplier relationship management., • Experience with or comfortable working in a stand-alone procurement role., • Experience in running tenders, evaluating bids, and making recommendations., • Ability to manage multiple projects simultaneously, ensuring timely and cost-effective delivery., • Experience in monitoring and managing the quality of service provided by suppliers., • Experience in developing and implementing procurement compliance., • Ability to forecast levels of demand for services and products., • Experience in undertaking value for money reviews of existing contracts., • Ability to analyse data and produce reports and statistics on spending and saving., • Experience and proven ability in developing strong internal relationships., • Strong knowledge of Microsoft Office Suite (Excel, Word, PowerPoint), • Knowledge of procurement regulations and compliance requirements. Person Profile • Excellent attention to detail in contract management, supplier evaluations, and analysis, • Excellent verbal and written communication skills for interacting with suppliers, internal teams, and stakeholders., • Strong analytical skills to assess market trends, supplier performance, and procurement data., • Confident in making decisions and leading on all procurement activities, working as a stand-alone procurement expert to the business., • Highly organised., • Approachable and ability to build excellent relationships both internally and externally. Why work for Waterstones At Waterstones, everything we do is about our customers, and we work hard to provide them with the best possible shopping experience, one that will make them want to visit time and time again. We strive to consistently deliver fantastic customer service, whether recommending a book or a gift, keeping our shops beautifully stocked, helping out in our lovely Café W’s, or keeping the wheels turning efficiently behind the scenes. Working with us, you will get to use your expertise and enthusiasm to bring to our customers the irreplaceable pleasures of a good bookshop (including a virtual one). In return, you will be working in a role that can make a real difference to Waterstones, work in a friendly and dynamic team and get to benefit from our excellent discount in shops and waterstones.com. If you have the relevant essential experience and you are interested, we would love to hear from you. Waterstones is committed to encouraging equity, diversity and inclusion in the workplace, and is dedicated toward eliminating unlawful discrimination. Our aim is to be truly representative of all sections of society and our customers, and for each employee to feel fully respected and to be able to give their best. Diversity Statement At Waterstones, we are committed to creating a workplace that is fair and inclusive to people from all backgrounds, perspectives and experiences, and we strive to promote an inclusive work culture. We are working hard to ensure our recruitment processes are free from bias, and our aim is to be truly representative of all sections of society and our customers, and for each employee to feel fully respected and able to give their best. Reasonable Adjustments We understand that some disabled applicants may, due to the nature of their disability, find some parts of the recruitment process challenging. If you need any reasonable adjustments during any part of the interview process, please make these known either to your interviewer or the person you liaise with when setting up your interview.

Bovis builds enduring partnerships, bringing together the right expertise, the right capabilities and the right resources to deliver the most complex projects. We know from decades of experience that successful delivery of multi-year complex projects requires close working relationships and collaboration through the supply chain. That’s why we share risk and invest in people and relationships at every level. We make things happen, anticipating challenges before they arise. Drawing on our highly experienced, multi-disciplinary teams, we bring a fresh perspective, tailoring our approach to the specific demands of the project, helping to simplify complexity and minimise risk. What we are recruiting for: This is a hands-on, technically expert role for someone who builds best-in-class Power BI solutions and is fluent in the full Microsoft data stack. You will be the primary developer of enterprise reporting across commercial, financial, operational, and project performance domains - working directly with business stakeholders to turn complex construction data into trusted, performant analytical outputs. You will work within a small, high-calibre Digital and Data function, reporting to the Head of BI & Reporting. This is not a management role: it is a senior individual contributor position where technical excellence, speed of delivery, and a deep understanding of construction data are the measures of success. Roles & responsibilities: Power BI Development & Data Modelling • Design, build, and optimise Power BI reports and dashboards from concept through to production deployment, across all business domains., • Develop complex semantic models with production-quality DAX - including advanced time intelligence, calculation groups, UDFs and performance-optimised measures at scale., • Write advanced M / Python transformations, including custom functions, parameterised queries, and API connections to source systems., • Manage model definitions using TMDL under source control (GitHub), following proper branching, review, and release practices. Data Integration & Pipeline Development • Build and maintain automated data pipelines (SQL, Power Platform, Azure Data Factory) that replace manual, spreadsheet-heavy reporting workflows., • Write complex SQL queries, stored procedures, and views to extract and transform data from ERP, commercial, and project control systems., • Integrate and normalise fragmented data across multiple source systems to deliver a reliable, reconciled analytical layer., • Configure streaming and real-time datasets for operational reporting that reflects current state, not yesterday’s extract. Construction Reporting Logic • Apply working knowledge of construction commercial and operational processes to ensure reports reflect how work is delivered and managed., • Challenge data that doesn’t align with construction reality and work with source system owners to fix it at the root. Quality, Governance & Documentation • Implement automated validation and exception-reporting layers to catch discrepancies before data reaches stakeholders., • Maintain data dictionaries, lineage documentation, and a technical data catalogue so that metric logic is transparent and not dependent on any single individual., • Apply row-level security, workspace governance, and enterprise refresh scheduling standards., • Manage all BI assets through governed deployment pipelines across development, test, and production environments. Stakeholder Partnership & Self-Service Enablement • Work directly with finance, commercial, operations, and project teams to understand priorities and translate them into actionable reporting outputs., • Build reusable, self-service reporting layers that reduce dependency on the central BI function for standard queries., • Communicate clearly what a report shows, what it doesn’t, and what caveats apply — in language stakeholders understand. Credentials • Degree in a quantitative or technical discipline (e.g., Mathematics, Engineering, Data Science, Finance) or equivalent demonstrated practical experience., • Evidence of continuous learning — recent certifications or a portfolio demonstrating advanced proficiency in Power BI, DAX, TMDL, and at least one of R or Python. Essential Skills, Knowledge, Experience, Behaviours Skills & Knowledge Power BI & DAX • Expert-level DAX: complex measures, advanced time intelligence, calculation groups, and model performance optimisation (DAX Studio, Tabular Editor), • Expert-level M / Python: advanced transformations, custom functions, parameterised queries, API connections, custom visuals., • Strong working knowledge of TMDL for semantic model version control, • Deployment pipelines across dev, test, and production environments, • Streaming and real-time datasets for live operational reporting SQL & Data Engineering • Strong SQL: complex queries, stored procedures, views, and CTEs for extraction and transformation., • Experience building automated data pipelines using SQL, Power Platform, or Azure Data Factory., • Experience of Power Platform (Apps, Automate, Pages ideally with HTML, CSS, React knowledge) Data reconciliation across enterprise data systems and project control systems with no pre-existing single source of truth. Source Control • GitHub (or equivalent): managing BI code, TMDL definitions, and deployment pipelines with branching, review, and release workflows Statistical Analysis • R or Python for descriptive and inferential statistics, trend analysis, variance analysis, and data exploration in support of commercial insight Construction Knowledge • Working understanding of construction commercial processes: CVRs, cost-to-complete, revenue recognition, margin analysis, subcontractor accounts., • Familiarity with programme management data: float, critical path, earned value, and how reported progress relates to reality on site., • Awareness of how construction projects are financially structured: prelims, measured works, variations, provisional sums, retention. Communication • Clear, precise communication: able to explain what a report shows, what it doesn’t show, and what caveats apply., • Comfortable working directly with senior stakeholders across finance, commercial, and operations. Experience • Extensive experience of hands-on Power BI development in a complex, multi-system enterprise environment., • A demonstrable background of data engineering, semantic models, sql query, web scraping, with direct exposure to commercial and operational data., • Demonstrated track record of replacing manual, spreadsheet-heavy reporting with automated, governed BI solutions., • Experience reconciling and normalising fragmented data across ERP, commercial, and quality systems., • Proven ability to work autonomously at pace, managing competing priorities without sacrificing accuracy. Behaviours • Technical Rigour: You treat every output with the understanding that a single discrepancy erodes trust in the entire reporting function. Accuracy is non-negotiable., • Operational Intuition: You interpret data through its real-world context and proactively flag numbers that don’t align with construction reality., • Root-Cause Orientation: You refuse to paper over data quality issues in the reporting layer. You challenge and fix problems at the source., • Self-Directed Delivery: You manage your own workload, prioritise effectively, and deliver at pace without needing close supervision., • Engineering Pragmatism: You know when to provide a rapid tactical answer and when to invest in a properly engineered long-term solution., • Continuous Improvement: You actively seek better ways to build, automate, and govern reporting — and stay current with the Microsoft data stack.

🚨 Urgent Opportunity – Data Science Lead 🚨 I’m working with a global consultancy/data analytics organisation that urgently needs a Data Science Lead to drive advanced causal inference, statistical modeling, and experimentation strategies across complex datasets. This is a senior, hands-on role working in a fast-paced, highly collaborative environment. What you’ll be doing: • Design, implement, and analyse causal inference experiments, including randomized controlled trials, natural experiments, and quasi-experimental methods, • Develop and apply conformal prediction frameworks to provide reliable uncertainty estimates for machine learning models, • Identify and control for confounding variables in observational studies, • Create robust statistical methodologies for causal effect estimation, • Collaborate with cross-functional teams to translate business questions into rigorous experimental designs, • Present technical findings to stakeholders in clear, actionable terms, including non-technical audiences What we’re looking for: • Advanced degree (MS or PhD) in a quantitative discipline with deep understanding of statistics, • 3+ years of professional experience applying statistical and causal inference methods to real-world data, • Demonstrated expertise in experimental design, including randomized controlled trials and observational study methodologies, • Strong understanding of conformal prediction theory and applications, • Proficiency in Python or R, and relevant statistical packages, • Experience with causal inference frameworks (e.g., potential outcomes, causal graphs, do-calculus), • Knowledge of modern machine learning techniques and their intersection with causal reasoning, • Excellent communication skills, with the ability to explain complex statistical concepts to non-technical audiences Preferred skills: • Experience with heterogeneous treatment effect estimation, • Familiarity with Bayesian methods for causal inference, • Background in epidemiology is a plus, • Experience working with a causal inference ecosystem (e.g., PyWhy, CausalImpact, Synth, GeoLift) Day rate: £450 per day IR35: Outside IR35 Contract length: 2 months initially Working pattern: Hybrid / remote (approx. 2–3 days onsite in London) If this sounds like you, drop me a DM or email your CV to