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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.

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

A growing and international financial services business with substantial inward investment is looking to add talent to their expanding Finance team. The FP&A Manager will work closely with FP&A Lead, wider Finance departments and cross-functional teams to build strong partnerships across the business, ensuring high-quality financial insight and robust planning processes. This role will play a key part in understanding performance drivers across a dynamic trading environment spanning FX, crypto, brokerage services and more, supporting strategic decision-making and delivering clear, value-adding analysis. The successful candidate will bring a solid background in data driven analysis, with experience in budgeting, forecasting, and working with Power BI, delivering meaningful financial reports. Responsibilities: Be responsible for overseeing all aspects of financial planning and analysis, providing valuable insights to support in budgeting, forecasting, and long-range planning processes. Develop and maintain financial models and Power BI dashboards to analyse performance trends by business segments and products, identify business drivers, and enhance dashboard capabilities to support with data driven forecasting. Review Daily PL and KPIs to ensure completeness, accuracy and timeliness. Prepare Group's monthly flash PL, track performance against budget and provide insightful commentaries. Review business segment performance data, Monthly management packs and support the preparation of Group and entity-specific Board meeting materials, including drafting designated presentation slides. Drive process improvements across planning, reporting and data flows to enhance team efficiency. Provide guidance to the junior team members and act as senior analytical point within the team, fostering a culture of continuous learning and professional growth. Collaborate with cross-functional teams to support strategic initiatives including automations/transformations, cost optimisation, revenue analysis and project evaluation. Support development of new tools and framework for analytics and performance tracking. Requirements: Bachelor's degree in finance, Accounting, and ACCA/ACA/CIMA preferred. Proven experience in financial planning and analysis as a manager or senior analyst. Excellent interpersonal, verbal and written communication skills Experience in financial services, fintech and dealing with large/complex data sets. Strong analytical skills and the ability to translate complex financial data into actionable insights. Strong proficiency in financial modelling, Microsoft Excel, Power Query and Power BI; experience with financial planning software. Python or SQL is an advantage. Excellent communication and presentation skills, with the ability to effectively communicate financial concepts to non-financial stakeholders. Strategic thinker with a track record of driving process improvements and delivering results in a fast-paced environment. Ability to thrive in a collaborative team environment and effectively manage multiple priorities. The individual must be highly organised, proactive, and driven to add value by enhancing financial insight and decision-support across the business. They should be comfortable diving into detailed data and models, yet able to step back and interpret the wider commercial implications. The successful candidate will be skilled at identifying variances, uncovering root causes, challenging assumptions, and translating findings into clear actions. They must be able to reconcile complex financial issues, resolve discrepancies, and provide forward-looking analysis that strengthens forecasting accuracy and overall financial performance. 25 days of holiday Bonus Pension contribution Private medical, dental, and vision coverage Life assurance Critical illness cover Wellness contribution program with access to ClassPass

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