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The Opportunity An exciting opportunity has become available to be part of our fast-growing team and to be a key part of the Client Services function. This role provides an outstanding opportunity to join a growing global integrated marketing advisory and will provide an ambitious individual with valuable experience for progression and development. The Company mediasense is a global, independent advisor that brings the clarity, connection and confidence modern marketers need to fuel growth. We help marketers eliminate waste and maximize the impact of their most significant investments at scale. Our ambition is to define and own an entirely new category - recognized as the world's most trusted, independent and impactful marketing advisor. We do this by elevating how clients operate, how agencies deliver, how platforms perform, and how all parts of the ecosystem connect. Because progress doesn't happen in isolation, it takes alignment, intelligence, and trust. That's what we enable. That's what we stand for. That's Unified Marketing Intelligence. mediasense is designed around how we help marketers optimize and transform through best-in-class structure and governance (Organization), partners and platforms (Ecosystem), governance and controls (Assurance), and measurement and effectiveness (Science). We have the proven ability to effectively support large, complex organizations and deliver multiple projects simultaneously. As evidenced through our strong track record with clients, we pride ourselves on the consistent high quality of service delivery and the ability to accelerate transformation and growth. mediasense and has over 200 employees across London, New York, Singapore and New Delhi. For more information, visit . The Role This role is for a Senior Consultant, based in London. This role will report into the Sub-Practice Lead. This is an important role within mediasense as you will be responsible for leading and managing the end-to-end client delivery through planning, delivery and reporting for a portfolio of some of the UK's largest advertisers. The Media Practice focuses on delivering industry-leading measurement and accountability for advertisers across their media investments, designing future-facing frameworks that drive transparency, value and trust with our core analytics products, including performance tracking, media cost & fees benchmarking, performance deep-dives; media cost and fees analysis in a pitch, and agency pitch commercials. A Media Analytics Senior Consultant owns "the analysis and insights" we deliver to Clients from the Media Analytics Practice to ensure that project execution follows and is in compliant with our standard methodologies and ways of working and that each project delivers measurable client value, operates efficiently, the deliverables are reflective of the new blueprints being produced within the organization, and that the client service and deliverables are of high quality. You will work closely with project leads in both the Client Solutions and Media Analytics Practices to become the day to day contact for our clients for your portfolio of clients, supported by a team of analysts. The role itself will involve a range of activities including: Overall ownership and delivery responsibility for media analytics clients and key audit projects (Accountability solution pillar) Overall ownership and delivery responsibility for media pitch analytics projects to from design and initiation of the pitch analytics through to pitch assessment and agency appointment (Ecosystem solution pillar) Overall ownership and delivery responsibility for the media analytics elements of organization operating model and transformation consultancy and science projects (Organization & Science solution pillars) Contribution to product development through ongoing feedback to the Technology & Innovation team on the functionality of tools used in the delivery of our work, and contribution to the consolidation of market intelligence Ensuring all your projects and project team members are following new ways of working, templates and guidelines (when they are produced) and that all work is produced and delivered to a high standard Line management responsibilities for Media Practice team members at levels below Senior Consultant, and providing adhoc mentorship for other members of the Analytics Services team Active engagement with Client Solutions and Client Strategy teams to collaborate on client initiatives and deliverables The Candidate The ideal candidate should have media agency (planning or trading), client side or media auditor background; with deep expertise in UK media planning, buying and trading. Specifically, this role will involve leading the delivery of Client Projects and directly managing Analytics Services teams, and will require the following skills: Ability to lead, mentor and educate a team Experience delivering client projects from inception through to reporting Strong, confident communicator, presenter and report writer Ability to create strong 'firm but fair' relationships with media agencies Deep expertise in UK media planning and trading (primarily negotiated, non-biddable) specifically across TV, BVoD/CTV/SVoD, OOH, Print, Radio, Cinema. Wider global media industry knowledge would also be a benefit to be able to work across our significant global client base. Demonstrates a working knowledge of digital media platforms & trading, and an understanding of how biddable and non-biddable media channels work together to deliver cohesive campaigns. Good understanding of the role of media industry data and how it is applied to the application of these channels Strong analytics capabilities and confidence working with media buying and industry data to be able to generate deep insights Experience in proposal writing and the ability to communicate the mediasense proposition to clients (working closely with project leads and the UK regional lead Combines intellectual rigor with practical application and delivery Curious and enthusiastic Ability to own client relationships and manage teams Demonstrate core MediaSense values: curious minds, courageous hearts; stronger together, smarter together; do the right thing, always; and raise the bar, then raise it again. Methodology & Ways of Working Support the standard ways of working roll out including processes, roles, work allocation, and role location strategy Support the development of the practice capability (methods, people, ways of working, use of technology) used to create value through our products for our clients Contribute to the establishment and maintenance of best-practice guidance and delivery playbooks, templates, governance guides and FAQs to ensure global consistency Partner with Practice Lead to ensure the product portfolio supports the practice's strategic direction Service Management Oversees day-to-day delivery execution of services for their products across teams and regions Manage the consistency of process/project execution while continuously evaluating opportunities for improvement Tracks project delivery across client accounts and adoption / compliance to ways of working for the project workflow. Delivers client scopes and collaborates to orchestrate resourcing needs for the client project Oversee and actively manages the quality of the work produced by the Analytics Services team Capability Enablement & Innovation Work with the Media Practice, Sub-practice leads and Client Solutions Directors to monitor market changes and changes in client needs to identify changes in capability needed to serve our clients Supports internal enablement sessions to drive adoption, consistency, and quality Embeds a culture of collaboration and feedback within the Analytic Services teams delivering the project. Financial & Commercial Awareness Work with the Practice Lead to ensure adherence to scope for projects in their project areas Supports accurate Project forecasting for resource allocation and timing Monitors time-to-deliver and utilisation data to support decision-making. What We Offer Hybrid working 28 days holiday per year, up to a maximum of 32 days Work from any location in the world for up to 4 weeks per year 10 days Annual Leave Purchase per year Day off for your birthday Company bonus scheme Pension Private Healthcare Employee Assistance programme Group Life insurance Annual season ticket loan Cycle to work scheme Eye test & contribution towards glasses for VDU Employee Referral Bonus New Business Bonus

View our cookie policy .Senior Oracle Analyst - ERP page is loaded Senior Oracle Analyst - ERPlocations: Edinburghtime type: Full timeposted on: Posted 2 Days Agotime left to apply: End Date: January 31, 2026 (21 days left to apply)job requisition id: R Job Description At Aberdeen, our ambition is to be the UK's leading Wealth & Investments group.Strengthening talent and culture is one of our strategic priorities. We strive to make Aberdeen a great place to work so that we can attract and retain the industry's best talent.Our people put our stakeholders at the heart of everything they do by helping us to make a positive difference to the lives of our clients, customers, colleagues, shareholders, and society.We are focused on growing our direct and advised wealth platforms and repositioning our specialist asset management business to meet client demand. We are committed to providing excellent client service, supported by leading technology and talent.Aberdeen comprises three businesses, interactive investor (ii), Investments, and Adviser, each of which focuses on meeting and adapting to our clients' evolving needs: interactive investor, the UK's second largest direct-to-consumer investment platform, enables individuals in the UK to plan, save, and invest in the way that works for them. Our Adviser business provides financial planning solutions and technology for UK financial advisers, enabling them to create value for their customers. Our Investments business is a specialist asset manager that focuses on areas where we have both strength and scale to capitalise on the key themes shaping the market, through either public markets or alternative asset classes. About the department Aberdeen's Finance Squad sits within the Corporate Technology Office, this is responsible for managing Aberdeen's core Finance systems with Oracle being its Strategic tool of choice. Aberdeen is live with Oracle Financials (GL, AP, AR, FA) & Oracle ERP Cloud solutions, including Planning, Financial Consolidation & Close (FCCS), and Enterprise Data Management (EDM). We have an exciting roadmap ahead of us to further enhance our systems architecture over the next 3 years and embed and enhance ways or working. About the role We are looking for a Senior Analyst with deep expertise in Oracle ERP to join our enterprise systems team. This role will be instrumental in supporting and enhancing our financial planning, forecasting, and reporting capabilities through Oracle ERP Cloud solutions. The ideal candidate will have hands-on experience in Oracle ERP modules and a passion for driving performance through data and analytics. Key Responsibilities Lead the design and delivery of Oracle ERP solutions across Finance, Procurement, and Supply Chain modules. Translate business requirements into functional specifications through stakeholder collaboration. Perform gap analyses and recommend system enhancements or process improvements. Support ERP upgrades, patches, and integrations with other enterprise systems. Manage testing activities and provide end-user training and documentation. Act as a bridge between business and technical teams to ensure successful ERP implementation. About the candidate Strong knowledge of Oracle ERP modules (Financials, Procurement, SCM), including both on-premise and Cloud applications. Ability to understand and map end-to-end finance, procurement, and supply chain processes to system solutions. Proficient in SQL, Oracle reporting tools (BI Publisher, OTBI), data migration (FBDI, ADFdi), and integration platforms like Oracle Integration Cloud. Skilled in diagnosing complex issues, performing root cause analysis, and delivering data-driven solutions. Experience leading cross-functional projects and engaging with stakeholders, vendors, and Oracle support. Strong documentation and training capabilities, with experience mentoring junior team members.We are proud to be a Disability Confident Committed employer. If you have a disability and would like to apply to one of our UK roles under the Disability Confident Scheme, please notify us by completing the relevant section in our candidate questionnaire. One of our team will reach out to support you through your application process. Our benefits There's more to working life than coming home with a good salary. We have an environment where you can learn, get involved and be supported.When you join us, your reward will be one of the best around. This includes 40 days' annual leave, a 16% employer pension contribution, a discretionary performance-based bonus (where applicable), private healthcare and a range of flexible benefits - including gym discounts, season ticket loans and access to an employee discount portal. You can read more about our benefits Our business Enabling our clients to be better investors drives everything we do. Our business is structured around three distinct areas - our vectors of growth - focused on our clients' changing needs. You can find out more about what we do . An inclusive way of working Whatever way you like to work, if you have the talent and commitment to join our team, we'd like to hear from you.At Aberdeen we've adopted a 'blended working' approach. This approach combines the benefits of face-to-face collaboration, coaching and connecting in our offices with the flexibility of working from home. It enables colleagues to find a balance that works for their roles, their teams, our clients and our business., where diverse perspectives drive our actions, is at the core of who we are and what we do. If you need assistance with your application, or a reasonable adjustment to your interview arrangements - for example, because you are neurodivergent, or have a physical, sensory, cognitive, mental, visible or invisible disability - please let us know and we'll be happy to help. We're committed to providing an inclusive workplace where all forms of difference are valued and which is free from any form of unfair or unlawful treatment. We define diversity in its broadest sense - this includes but is not limited to our diversity of educational and professional backgrounds, experience, cognitive and neurodiversity, age, gender, gender identity, sexual orientation, disability, religion or belief and ethnicity and geographical provenance. We support a culture that values meritocracy, fairness and transparency and welcomes enquiries from everyone. If you need assistance or an adjustment due to a disability please let us know as part of your application and we will assist.

Select how often (in days) to receive an alert: Job Title: Senior Associate or Vice President, COO Office, Investment Banking Job Code: 11885 Country: GB City: London Skill Category: Admin/Support Description Company Overview Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit Role Description We are seeking a high-performing Senior Associate / VP to join our Investment Banking COO team. This is a unique opportunity to work at the center of a fast-paced business, collaborating directly with bankers from Analyst to Managing Director and partnering with senior Advisory & CFS product bankers. You will be instrumental in both strategic deliverables and day-to-day business management, with regular engagement across global functions and leadership. This opportunity is ideal for candidates with proven success in COO or Business Management roles who want to accelerate their careers in Investment Banking. Key Responsibilities Business Partnering Working closely with senior Advisory & CFS product bankers - supporting them with strategic deliverables, business reviews and day-to-day scorecard management Liaise globally, collaborating with global sector teams Executive Support Support Senior IB Management in preparing presentations for executive meetings and cross-product and / or cross-regional initiatives Business Management Oversee pipeline management and project approval processes, partnering closely with Finance for revenue performance and forecasting Analyse and report on business/competitor performance MI & Data Analytics Develop and enhance Management Information (MI) using Salesforce, Business Objects, and internal tools Maintain critical business databases Create dashboards and reporting packages to inform management decisions Leveraging technology and the use of AI - promoting use cases both with Business Partners and within COO to boost productivity and competitive positioning Project & Process Ownership Lead and deliver projects that improve business efficiency or drive strategic priorities Prepare high-quality materials for offsites, planning sessions, and board-level discussions Cross-Functional Engagement Partner with key support functions (Technology, Finance, Operations, HR) to resolve business issues and execute new initiatives Champion improvements to processes and oversee cost control Risk, Conduct & Control Ensure robust compliance with business policies and regulatory standards; drive conduct and best practices across teams Desired Profile, Qualifications and Knowledge Required Relevant Experience COO/Business Management experience in Investment Banking or adjacent financial services Experience managing business processes, strategic planning, or MI development within a global, fast-paced environment Stakeholder Engagement Excellent interpersonal skills; able to build credibility quickly with bankers and senior management Effective at navigating complex stakeholder groups and multicultural teams Technical & Analytical Skills Strong understanding of investment banking workflows, financial analysis, and resource allocation Ideally experienced user of Salesforce, Business Objects, MS Office and AI tools; data visualization/dashboarding experience a plus Execution Excellence Detail-oriented, proactive, able to manage multiple priorities under tight deadlines Demonstrated ability to switch seamlessly between tactical execution and high-level strategy Nomura competencies Explore Insights & Vision Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future. Making Strategic Decisions Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations. Inspire Entrepreneurship in People Inspire team members through effective communication of ideas and motivate them to actively enhance productivity. Elevate Organizational Capability Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing. Inclusion Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect). Diversity Statement Nomura is committed to an employment policy of equal opportunities, and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender or sexual orientation. DISCLAIMER This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time. Equal Opportunity Employer Nomura is an Equal Opportunity Employer

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries. Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement. This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi million dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action. The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high performing teams, this role is for you. What You'll Do Lead and mentor junior data scientists and analysts-provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi workstream analytics projects-oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end to end data science workflows-from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI powered analyses-including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights-create compelling data narratives, develop executive ready presentations, and communicate technical results to non technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients-build long standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development-participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities. Required Qualifications 5+ years of hands on experience conducting data science and advanced analytics-not just ad hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams-including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit learn, statsmodels, visualization libraries). Comfortable writing production quality code, not just notebooks. Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures-understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills-ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed. Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference in differences, or instrumental variables. Hands on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine tuning pretrained models for NLP, time series, or tabular data applications. Experience building AI assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI assistant rapid data application development using Cursor, Lovable, v0, etc. Experience with time series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces. Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field. Why Huron Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy & Utilities, and more-each engagement is a new domain to master and a new problem to crack. Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions-pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes. A team that thinks deeply. Huron's Data Science & Machine Learning team is a close knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly. Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles. Position Level Manager Country United Kingdom

Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new

An exciting opportunity has become available to be part of our fast-growing team and to be a key part of the Client Services function. This role provides an outstanding opportunity to join a growing global integrated marketing advisory and will provide an ambitious individual with valuable experience for progression and development. The Company mediasense is a global, independent advisor that brings the clarity, connection and confidence modern marketers need to fuel growth. We help marketers eliminate waste and maximize the impact of their most significant investments at scale. Our ambition is to define and own an entirely new category - recognized as the world's most trusted, independent and impactful marketing advisor. We do this by elevating how clients operate, how agencies deliver, how platforms perform, and how all parts of the ecosystem connect. Because progress doesn't happen in isolation, it takes alignment, intelligence, and trust. That's what we enable. That's what we stand for. That's Unified Marketing Intelligence. mediasense is designed around how we help marketers optimize and transform through best-in-class structure and governance (Organization), partners and platforms (Ecosystem), governance and controls (Assurance), and measurement and effectiveness (Science). We have the proven ability to effectively support large, complex organizations and deliver multiple projects simultaneously. As evidenced through our strong track record with clients, we pride ourselves on the consistent high quality of service delivery and the ability to accelerate transformation and growth. mediasense and has over 200 employees across London, New York, Singapore and New Delhi. The Role This role is for a Senior Consultant, based in London. This role will report into the Sub-Practice Lead. This is an important role within mediasense as you will be responsible for leading and managing the end-to-end client delivery through planning, delivery and reporting for a portfolio of some of the UK's largest advertisers. The Media Practice focuses on delivering industry-leading measurement and accountability for advertisers across their media investments, designing future-facing frameworks that drive transparency, value and trust with our core analytics products, including performance tracking, media cost & fees benchmarking, performance deep-dives; media cost and fees analysis in a pitch, and agency pitch commercials. A Media Analytics Senior Consultant owns "the analysis and insights" we deliver to Clients from the Media Analytics Practice to ensure that project execution follows and is in compliant with our standard methodologies and ways of working and that each project delivers measurable client value, operates efficiently, the deliverables are reflective of the new blueprints being produced within the organization, and that the client service and deliverables are of high quality You will work closely with project leads in both the Client Solutions and Media Analytics Practices to become the day to day contact for our clients for your portfolio of clients, supported by a team of analysts. The role itself will involve a range of activities including: Overall ownership and delivery responsibility for media analytics clients and key audit projects (Accountability solution pillar) Overall ownership and delivery responsibility for media pitch analytics projects to from design and initiation of the pitch analytics through to pitch assessment and agency appointment (Ecosystem solution pillar) Overall ownership and delivery responsibility for the media analytics elements of organization operating model and transformation consultancy and science projects (Organization & Science solution pillars) Contribution to product development through ongoing feedback to the Technology & Innovation team on the functionality of tools used in the delivery of our work, and contribution to the consolidation of market intelligence Ensuring all your projects and project team members are following new ways of working, templates and guidelines (when they are produced) and that all work is produced and delivered to a high standard Line management responsibilities for Media Practice team members at levels below Senior Consultant, and providing adhoc mentorship for other members of the Analytics Services team Active engagement with Client Solutions and Client Strategy teams to collaborate on client initiatives and deliverables The Candidate The ideal candidate should have media agency (planning or trading), client side or media auditor background; with deep expertise in UK media planning, buying and trading. Specifically, this role will involve leading the delivery of Client Projects and directly managing Analytics Services teams, and will require the following skills: Ability to lead, mentor and educate a team Experience delivering client projects from inception through to reporting Strong, confident communicator, presenter and report writer Ability to create strong 'firm but fair' relationships with media agencies Deep expertise in UK media planning and trading (primarily negotiated, non-biddable) specifically across TV, BVoD/CTV/SVoD, OOH, Print, Radio, Cinema. Wider global media industry knowledge would also be a benefit to be able to work across our significant global client base. Demonstrates a working knowledge of digital media platforms & trading, and an understanding of how biddable and non-biddable media channels work together to deliver cohesive campaigns.Good understanding of the role of media industry data and how it is applied to the application of these channels Strong analytics capabilities and confidence working with media buying and industry data to be able to generate deep insights Experience in proposal writing and the ability to communicate the mediasense proposition to clients (working closely with project leads and the UK regional lead Combines intellectual rigor with practical application and delivery Curious and enthusiastic Ability to own client relationships and manage teams Demonstrate core MediaSense values: curious minds, courageous hearts; stronger together, smarter together; do the right thing, always; and raise the bar, then raise it again. Methodology & Ways of Working Support the standard ways of working roll out including processes, roles, work allocation, and role location strategy Support the development of the practice capability (methods, people, ways of working, use of technology) used to create value through our products for our clients Contribute to the establishment and maintenance of best-practice guidance and delivery playbooks, templates, governance guides and FAQs to ensure global consistency Partner with Practice Lead to ensure the product portfolio supports the practice's strategic direction Service Management Oversees day-to-day delivery execution of services for their products across teams and regions Manage the consistency of process/project execution while continuously evaluating opportunities for improvement Tracks project delivery across client accounts and adoption / compliance to ways of working for the project workflow. Delivers client scopes and collaborates to orchestrate resourcing needs for the client project Oversee and actively manages the quality of the work produced by the Analytics Services team Capability Enablement & Innovation Work with the Media Practice, Sub-practice leads and Client Solutions Directors to monitor market changes and changes in client needs to identify changes in capability needed to serve our clients Supports internal enablement sessions to drive adoption, consistency, and quality Embeds a culture of collaboration and feedback within the Analytic Services teams delivering the project. Work with the Practice Lead to ensure adherence to scope for projects in their project areas Supports accurate Project forecasting for resource allocation and timing Monitors time-to-deliver and utilisation data to support decision-making. What We Offer 28 days holiday per year, up to a maximum of 32 days Work from any location in the world for up to 4 weeks per year 10 days Annual Leave Purchase per year Day off for your birthday Company bonus scheme Pension Employee Assistance programme Group Life insurance Annual season ticket loan Cycle to work scheme Eye test & contribution towards glasses for VDU

400M+ downloads. 75M+ monthly users. A decade of building - and we're still accelerating. Flo is the world's health app on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 - and we're not slowing down. With 6M paid subscribers and the highest-rated experience in the App Store's health category, we've spent 10 years earning trust at scale. Now, we're building the next generation of digital health - AI-powered, privacy-first, clinically backed - to help our users know their body better. The job We are seeking a highly analytical and strategic Finance & Partnerships Analyst to join our team. This role is crucial for driving data-informed decisions across our financial planning and partnership initiatives. You will be a key player in supporting the FP&A team with robust financial analysis, forecasting, and strategic insights. In addition to core finance functions, you will take the lead on the analytical framework for our strategic partnerships. This involves creating models for new ventures, collaborating closely with engineering and product teams to ensure precise data tracking and measurement, and evaluating the performance of these partnerships to ensure they align with our financial goals. What You Will Be Doing Develop sophisticated financial models to analyse growth in terms of revenue, user acquisition costs, and lifetime value metrics. Create and optimise unit economics frameworks to understand premium/freemium conversions, subscription dynamics, LTV calculations, and user acquisition payback periods. Build custom financial models for new partners to project potential ROI and guide negotiation strategy. Collaborate with engineering and product teams to establish and maintain sufficient data tracking and measurement for all partnership activities. Measure and report on the performance of strategic partnerships, ensuring that partnership revenue is accurately integrated into broader financial reporting. Analyse revenue impacts of potential product features and prepare evidence-based recommendations. Investigate revenue fluctuations and develop data-driven strategies to address performance issues. Create and maintain comprehensive financial datarooms for investors, including key financial metrics, cohort analyses, and performance dashboards. Present financial insights to peers and senior leaders, ensuring findings directly influence strategic decisions. Standardise financial analysis methodologies (e.g., ROI calculations) and promote the adoption of financial best practices across teams. What We're Looking For A minimum of 5-7 years of work experience in Analytics and Data, or similar like FP&A. Advanced proficiency in SQL and experience with data visualization tools like Looker, Tableau, or similar platforms. Proven experience in building complex financial and operational models from the ground up. Exceptional ability in data storytelling and communicating complex financial insights to diverse audiences, including senior stakeholders. A deep understanding of core financial metrics (LTV, CAC, Payback Periods, ROI) and their connection to business objectives. Experience in cross-functional collaboration, particularly with technical teams (engineering, product) to influence and drive projects. A strong sense of ownership, a proactive mindset, and the ability to work autonomously in a fast-paced environment. Some experience with Product Analytics and AB testing. Proficiency in Python for statistical analysis is a plus. How we work We're a mission-led, product-driven team. We move fast, stay focused and take ownership - from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You'll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here's what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo's performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support Flexible office + home working, up to 2 months a year working abroad 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role - nothing else. We're proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants.

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market, and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 3,600+ associates, the company's products are sold at key retailers, online and offline, and through distributors around the world. As we continue to expand our footprint across EMEA, we are excited to add an Strategic Sales Analyst - EMEA Marketplace to our growing team. The position is be based in our vibrant London office (Hybrid - 3 days a week). About the Role: As an SS&A Analyst - EMEA Marketplace, you will play a key role in supporting our commercial success across Amazon and other EMEA marketplace platforms. You will partner closely with SS&A Leaders, Sales, Marketing, and Finance to bring clarity to performance trends, ensure forecast accuracy, and highlight opportunities to grow revenue, margin, and market share. This is an exciting opportunity for someone early in their career to have a big impact in a high-growth, fast-paced environment, building the foundation for a future commercial leadership role. These are are some of the exciting things you will get to do: Marketplace analytics & reporting: Collect, interpret, and present marketplace sales, profitability, and customer performance data across EMEA. Performance insights: Track KPIs, identify risks and opportunities, and provide recommendations to optimise growth and margin. Partner with leadership: Work with SS&A Leads and country teams to monitor marketplace channel performance and influence commercial actions. Promotion & pricing support: Analyse promotional effectiveness, pricing strategies, and competitor activity to fuel data-led decision making. Forecasting & planning: Support forecast accuracy, scenario planning, and reporting to drive alignment across EMEA. Cross-functional collaboration: Partner with Sales, Marketing, Finance, and Supply Chain to ensure marketplace insights drive execution and impact. Knowledge sharing: Help standardise reporting and best practices across countries, scaling success region wide. Your Profile Experience: 2-4 years in an analytical, commercial, or category management role (e-commerce, consumer goods, or retail a plus). Analytical mindset: Strong Excel skills, with exposure to BI tools (Power BI, Tableau, or similar). Ability to turn complex data into clear, actionable insights. Commercial curiosity: Understanding of marketplace/retail dynamics and a genuine interest in driving business performance. Collaboration: Strong interpersonal and communication skills, able to influence and align cross functional teams. Detail & agility: Highly organized, comfortable managing multiple priorities in a fast paced environment. Growth mindset: A proactive problem solver who seeks continuous improvement and thrives in a scale up environment. Our Culture At SharkNinja, we don't just raise the bar-we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you'll be right at home. What We Offer We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what's possible. When you join, you're not just part of a company-you're part of an outrageously extraordinary community. To gether, we won't just launch products- we'll disrupt entire markets. At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA. Learn more about us: Life At SharkNinja Outrageously Extraordinary SharkNinja Candidate Privacy Notice For candidates based in all regions, please refer to this Candidate Privacy Notice. For candidates based in China, please refer to this Candidate Privacy Notice. For candidates based in Vietnam, please refer to this Candidate Privacy Notice. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at

Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That's why we cover the entire supply chain with unparalleled breadth and depth, backed by over 50 years' experience. Our team of over 2,400 experts, operating across 30 global locations, are enabling customers' decisions through real-time analytics, consultancy, events and thought leadership. Together, we deliver the insight they need to separate risk from opportunity and make confident decisions when it matters most. Wood Mackenzie Values Inclusive - we succeed together Trusting - we choose to trust each other Customer committed - we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Company Wood Mackenzie are the global research, analytics, and consultancy business powering the natural resources industry. For over 50 years, we have been providing the quality data, analytics, and insights our customers rely on to inspire their decision making.Our dedicated metals & mining, oil, gas & LNG, power & renewables and chemicals sector teams are located around the world and deliver a variety of projects based on our assessment and valuation of thousands of individual assets, companies, and economic indicators such as market supply, demand, and price trends.We have over 2000 employees in 30 locations, serving customers in nearly 80 countries. Together, we inspire and innovate the markets we serve - providing invaluable intelligence to help our customers overcome the toughest challenges, and make strategic decisions that will, ultimately, accelerate the world's transition to a more sustainable future. Role Purpose We are looking for a Research Director to join our M&M Markets Research team. This cross-commodity role will be based in the UK, joining a global team of well-established experts. Wood Mackenzie's high-quality metals research provides value to our clients, by providing a guide to the rapidly transitioning energy and materials sectors and assisting clients to make the best commercial decisions to secure their business success. Main Responsibilities Research Leadership & Analysis Lead world-class quantitative and qualitative research on global metals demand, delivering insights through data services, proprietary datasets, written reports, public speaking, and bespoke client engagements Collaborate across commodity teams to develop long-term metals demand projections and maintain our industry-leading market perspective Partner with global commodities, energy, and natural resources teams to assess the energy transition's impact on metals demand dynamics Produce timely, high-quality deliverables and market intelligence on metals demand trends Thought Leadership & Market Authority Develop and publish opinion-rich, thematic thought leadership content on metals markets with minimal supervision Rapidly identify and analyse emerging metals demand trends, engaging proactively with senior internal and external stakeholders Establish yourself as a recognized authority on metals demand fundamentals, both internally and externally Demonstrate intellectual curiosity in researching and validating market hypotheses Strategic Communication & Stakeholder Engagement Synthesize complex market data into clear, actionable insights for diverse audiences Provide confident opinions and recommendations despite market uncertainty Engage effectively with clients across all seniority levels, adapting communication style to audience needs Build and maintain strong relationships with key internal and external stakeholders Innovation & Continuous Improvement Identify opportunities for process and product enhancement, delivering measurable improvements Leverage AI and emerging technologies to enhance research quality and efficiency Collaborate with clients and stakeholders to co-develop solutions that meet evolving market needs Monitor competitive landscape to identify threats, opportunities, and best practices External Profile & Market Presence Maintain an established media presence and industry profile Work with Marketing to develop personal brand presence on company platforms and social media Represent the organization at industry events, conferences, and client meetings Team Development Provide coaching and mentorship to research analysts Foster a culture of analytical excellence and continuous learning within the team About You Education & Industry Experience Degree qualified in a relevant discipline (Economics, Business, Mining Engineering, Geology, Materials Science, or related field) Proven experience in metals and mining sectors with demonstrated expertise in metals demand forecasting and market analysis Direct experience with key industry stakeholders including mines, processors, traders, power/renewable energy companies, EV manufacturers, charging infrastructure providers, or other metals end-users Deep understanding of metals value chains and operational dynamics across different sectors Analytical & Communication Excellence Strong analytical mindset with ability to synthesize complex, multi-source data into clear, actionable insights Exceptional written and verbal communication skills, capable of translating technical concepts for diverse audiences Proven ability to see strategic patterns in complex market data and draw coherent conclusions Comfortable presenting to public audiences and facilitating executive-level discussions Technical Proficiency Advanced proficiency in Microsoft Office suite, particularly Excel for complex data analysis Experience with data visualization tools preferred Familiarity with statistical modelling and forecasting methodologies Adaptability to leverage emerging technologies and AI tools for enhanced analysis Leadership & Relationship Building Demonstrated track record of building and maintaining strong professional networks across the industry Proven ability to influence stakeholders and drive consensus in complex, multi-party environments Experience mentoring and developing junior talent with a collaborative leadership style Strong interpersonal skills with ability to engage effectively across all organizational levels Commercial Acumen & Delivery Focus Commercially minded with deep understanding of how market intelligence drives business decisions Thrives in fast-paced, customer-centric environments with competing priorities Proactive approach to identifying opportunities and implementing process and product improvements Personal Attributes Intellectually curious with a passion for continuous learning and knowledge sharing Creative problem-solver who challenges conventional thinking Results-driven with commitment to best-in-class standards Genuine enthusiasm for working in a leading research and consultancy environment Expectations Key capabilities: + Planning and prioritising - aligning our efforts to organisational goals and priorities + Ownership and accountability - delivering on our commitments and owning the outcome + Commitment to action - making timely decisions and taking action + Continuous improvement - continuously striving for better in all we do We are a hybrid working company and the successful applicant will be expected to be physically present in the office at least 2 days per week to foster and contribute to a collaborative environment. While this is expected to be a full-time role, part-time or flexible working arrangements will be considered. Due to the global nature of the team, a degree of flexible working will be required

Head of Data Science page is loaded Head of Data Sciencelocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: RThe purpose of this role is to set the strategic direction for the team, taking ownership of the overall vision and outcomes, liaising with other channels to ensure an integrated approach/roadmap. Job Description: The role We empower brands to make confident media investment decisions-driven by evidence, not opinion.This is a pivotal senior leadership role at the forefront of marketing science transformation. As Head of Data Science, you will architect and lead a world-class Data Science Centre of Excellence, integrating analytics, econometrics, and data science into a unified, high-impact capability. You will modernise measurement methodologies, productise advanced techniques (agile MMM, incrementality, causal inference, brand equity analytics), and operationalise insight at scale to drive client growth and business performance.You will be a strategic partner to Carat, iProspect, and dentsu X-shaping pitches, influencing client decisioning, and setting the gold standard for media effectiveness across UK&I. As a member of the Marketing Science Executive Team, you will play a critical role in defining the strategic direction of the discipline, cultivating a high-performance culture, and delivering measurable commercial outcomes. Responsibilities Strategic Leadership & Operating Model Define and create the UK&I Data Science strategy, aligned to the broader Data & Analytics vision and media growth priorities. Establish a scalable, future-ready Centre of Excellence: governance, delivery models, talent strategy (onshore/offshore), and operational standards. Influence cross-functional alignment across media, strategy, data, and technology. Innovation, Methodology & Product Development Own the end-to-end data science innovation roadmap to merit powerhouse status: evolve MMM into a digital-first, agile, automated solution; scale incrementality and causal inference; embed experimentation across the full funnel. Develop scalable advanced analytics solutions that incorporate behavioural science and creative analytics (pre and post) Set the benchmark for modelling excellence, experimentation design (lift/RCTs, synthetic controls), forecasting, and brand-performance integration. Drive the development of proprietary tools, frameworks, and IP. Data Infrastructure & Strategic Partnerships Collaborate with Data & Tech to build robust data pipelines, automation, and deployment infrastructure-leveraging dentsu.Connect and other platforms. Partner with Amplifi and external data providers to unlock strategic value and commercial upside. Commercial Growth & Market Impact Lead Measurement & Effectiveness strategy in new business pitches-crafting compelling narratives, proof points, and pricing strategies, delivered in the room and on paper with high impact, contributing to an overall Media increased win rate of % and measurement revenue of +£5m Drive revenue growth through outcome-linked learning agendas and strategic account expansion Influence client C-suite decisioning through data-driven storytelling and strategic advisory Industry leadership and representation of dentsu in external forums: produce thought leadership, increase visibility and promote dentsu capability at key events and with senior stakeholders from both clients and our media partners (Google, Meta, industry bodies) Delivery Excellence & Governance Oversee delivery across Measurement & Effectiveness scopes: staffing, QA, SLAs, and insight-to-value workflows. Institutionalise repeatable excellence through playbooks, case studies, and scalable frameworks. Champion data ethics, privacy, and methodological integrity. Talent, Culture & Global Collaboration Inspire and develop a multidisciplinary team of 40+ analysts, econometricians, data scientists and engineers-fostering a culture of innovation, learning, and inclusion. Shape succession planning and capability development across critical roles. Contribute to global hubs and multi-market initiatives. External Influence & Thought Leadership Represent dentsu in industry forums and thought leadership platforms. Articulate a bold, future-facing POV on modern measurement and the strategic role of data science in media. Success Measures Adoption of a unified, standardised measurement toolkit across priority accounts. Demonstrable growth impact via pitch wins, account expansion, and value tracking. Scaled automation and platform leverage reducing manual effort and increasing insight velocity. High team engagement, retention, and succession in key roles. Qualifications 15+ years in senior leadership roles across analytics, data science, econometrics or measurement, ideally within agency or marketing-led environments. Deep expertise in MMM, experimentation, causal inference, forecasting, and brand-performance integration. Proven track record in pitch leadership, senior client engagement, and commercial storytelling. Strong cross-functional collaboration across media, strategy, engineering, and commercial teams. Demonstrated experience in AI/automation integration within analytics workflows. Soft skills Client-centric, commercially astute and intellectually curious - consistently translates complex data into actionable strategies that drive business outcomes and client growth. Strategic influencer across disciplines - builds alignment and momentum across media, strategy, data, and technology functions, even without formal authority. Executive presence and trusted advisor - engages credibly with senior stakeholders, shaping decisions through clear, evidence-led narratives. High integrity and analytical rigour - sets the standard for transparency, auditability, and ethical use of data in decision-making. Culture builder and talent magnet - fosters an inclusive, high-performance environment that attracts, retains and develops top-tier talent. Location: London Brand: Dentsu Media Time Type: Full time Contract Type: Permanent

The Director, Paid Media is a strategic and hands on leader responsible for developing and executing a holistic, full funnel paid media strategy across Preferred Travel Group's (PTG) global portfolio of 650+ independent luxury hotels. This role drives brand affinity, bookings, and incremental revenue through performance marketing and integrated media planning, while ensuring alignment with broader commercial objectives. This position supports Preferred Hotels & Resorts, Beyond Green, and the I Prefer Hotel Rewards loyalty program, delivering paid media strategies that elevate brand visibility, loyalty engagement, and direct channel performance. This role must operate as a hands on strategist, executor, and analyst. ORGANIZATIONAL RELATIONSHIP You will report to the Vice President, Digital Strategy & Innovation. The Director leads external agency partners to deliver measurable outcomes across digital and traditional media channels, and collaborates cross functionally with Brand Creative, Portfolio Marketing, Loyalty Marketing, and Partnerships. DUTIES & RESPONSIBILITIES Develop and evolve a global full funnel, multi channel media strategy aligned with commercial goals and marketing objectives. Identify growth opportunities and innovation in paid media, leveraging insights, market research, and incrementality studies. Partner with commercial and marketing leaders to support ancillary campaigns and ensure paid media integration across initiatives. Convey media strategies, rationale and results to senior leadership to gain support and understanding of a sophisticated media program. Campaign Management Oversee end to end campaign execution including briefing, optimization, and performance reporting. Manage a multi million dollar media budget, pacing, and forecasting to maximize ROI and ROMI. Ensure campaigns are delivered on time, meet quality and brand standards, and align with business objectives. Collaborate with creative teams and agencies to produce high performing ad formats across display, paid search, social, native, and video. Develop and adapt paid media strategies for international markets, with a particular focus on China's unique digital ecosystem (e.g., WeChat, Weibo, Douyin, Baidu), ensuring channel relevance and commercial effectiveness. Oversee and manage the I Prefer affiliate marketing program, ensuring alignment with overall media strategy and driving incremental growth through strategic partnerships. Lead relationships with global media agencies and ensure best in class service and delivery. Maintain partnerships with key media vendors, participating in alpha/beta tests and joint business plans. Activate a test and learn roadmap across all major media platforms. Own the commercial model for PTG's metasearch program, increasing revenue for member hotels and PTG by exploring new partnership structures and monetization opportunities. Measurement & Analytics Define and manage KPIs within a global measurement framework. Build and own the marketing mix modeling framework to evaluate channel effectiveness and inform budget allocation decisions. Enhance reporting formats and stakeholder deliverables to improve transparency and decision making. Collaborate with global teams to optimize data feeds, tagging, and system integrations. Industry Knowledge & Excellence Develop case studies and award entries to highlight paid media success and innovation. Regularly present updates and insights to senior stakeholders through written and live communications. QUALIFICATIONS Minimum 7 10 years of experience in media strategy, planning, and buying, ideally within hospitality, travel, or consumer services. Bachelor's degree in marketing, advertising, or related field. Proven expertise in Meta, Google, and other performance media platforms. Familiarity with AI applications in digital media, including programmatic advertising, predictive analytics, and generative creative tools. Strong analytical mindset focused on ROI and ROMI. Experience managing multi channel campaigns and significant media budgets. Ability to craft and present executive level narratives that connect media outcomes to business impact. Proficiency in media analytics tools, marketing mix modeling, digital attribution, and incrementality testing. Excellent communication, collaboration, and time management skills. WORKING CONDITIONS This role will be based out of our Preferred Travel Group office in Central London. With our in office philosophy, our associates are expected to be in the office at least three days per week, supporting a healthy balance between in person collaboration and flexible remote work. We take pride in our vibrant and inclusive culture, which thrives on meaningful connection, shared purpose, and cross functional teamwork. In office engagement plays a vital role in fostering spontaneous collaboration, accelerating innovation, and strengthening relationships across teams. It also provides valuable opportunities for mentorship, professional development, and a deeper sense of community. Please note: While the current expectation is a minimum of three days per week in the office, this may evolve over time in alignment with business needs and our continued commitment to culture building. DISCLAIMER The above information on this description has been designed to indicate the general nature and level of work performed by associates within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.