Business Intelligence Director at IPG Mediabrands | London

Location: Hybrid in London, United Kingdom Role Overview iwoca is seeking a Director of Data Science & Artificial Intelligence to lead its data science division. This leadership role involves managing a skilled team focused on building probabilistic and statistical models that drive real-time lending decisions. The position also plays a central part in integrating AI across the company, setting the direction for how AI enhances capabilities both within and beyond the data science team. About iwoca iwoca supports small businesses with financing that matches their changing needs. By combining technology, data science, and a customer-first approach, iwoca has delivered over £4 billion in funding to more than 100,000 businesses. The company’s goal is to empower one million SMEs, helping them grow and strengthen their communities and local economies. Team Focus The data science team creates models that directly impact lending decisions, forecasting, and commercial strategies. Their work is implemented in production code and has a tangible effect on business outcomes. Collaboration is key, with close partnerships across engineering, product, and commercial teams. The Director will lead initiatives to embed AI into these processes and drive further innovation. What You Will Do Define and shape the operating structure of a technically strong data science team Guide the adoption of AI across the business, identifying where it can boost productivity or accelerate processes Evaluate the suitability of AI tools and approaches for different business needs Challenge assumptions and recommend when alternative solutions may be more effective than AI Apply deep knowledge of modeling to determine the best use of AI and data science for business impact

Why Choose a Career in Technology at loveholidays?At loveholidays, we are dedicated to pioneering new paths in travel. Our mission is to make the world accessible to everyone by providing our customers with unlimited options, unparalleled convenience, and exceptional value for their next holiday. Our technology team is the cornerstone of our commitment to becoming our customers' personal holiday expert—the intelligent way to travel.Technology at loveholidays drives our ambition to be the world leader in packaged holidays. We are committed to fostering innovation and technical excellence to secure our future. With systems processing trillions of holiday offers daily and deploying thousands of times each month, we are equipped to handle countless requests per second. Here, you will have the opportunity to accelerate your career by tackling intricate challenges and expanding your skill set.Join us in shaping our future and making a meaningful impact. Take ownership of your success and contribute to our collective objectives. We engage in active discussions about technology and adhere to our foundational technology principles that have propelled us this far. As we continue to grow, we have ambitious plans to expand across Europe, attracting the top talent and technology to facilitate this journey.About Our Team:Our data science team, currently comprised of six talented data scientists, collaborates across the organization to implement machine learning solutions that help us realize our goal of becoming the global leader in packaged holidays. This team is pivotal in creating value for our customers, suppliers, and loveholidays through the application of advanced machine learning techniques.Your Impact:In this role, reporting directly to the VP of Data, you will lead the Data Science function, embedding intelligence at the core of our growth strategy. You will define and drive the contributions of Data Science to critical commercial metrics, including conversion rates, pricing strategies, customer acquisition efficiency, and experimentation speed. Your influence will guide our investments in Machine Learning and AI, ensuring these investments yield significant competitive advantages.Collaborating with Product and Commercial leadership, you will identify the most impactful opportunities for machine learning and oversee their execution from start to finish.You will ensure our systems are production-ready, scalable, and aligned with our engineering standards, transforming insights into actionable strategies.

Req: FEQ127R163 Location: London Skills: Expertise in Data Science, Machine Learning, Artificial Intelligence, Large Language Models, Generative AI, and Big Data technologies like Spark As a Specialist Solutions Architect specializing in Machine Learning Engineering, you will serve as a pivotal technical resource for Databricks customers and the Field Engineering team. Collaborating closely with Solution Architects, you will assist customers in designing and implementing production-grade machine learning applications on the Databricks platform, ensuring alignment with the evolving Databricks Data Intelligence Platform roadmap. You will continually advance your technical acumen by leveraging cutting-edge technologies in Generative AI, LLMOps, and Machine Learning, while also enhancing your influence through mentorship and establishing yourself as an authority in ML. Your Impact: Design and architect production-ready ML workloads for customers on our unified platform, which includes comprehensive ML pipelines, optimization for training and inference, integration with cloud-native services, and MLOps practices. Deliver advanced technical support to Solution Engineers during the technical sales process, covering aspects from feature engineering and model training to tracking, serving, and monitoring—all within a single integrated platform, and participating actively in the Databricks ML Subject Matter Expert community. Work collaboratively with product and engineering teams to voice customer needs, set priorities, and shape the product development roadmap, facilitating the adoption of Databricks’ ML solutions. Enhance customer data science capabilities and apply best practices in MLOps to effectively deploy these capabilities across various domains. Act as a trusted technical advisor for customers developing Generative AI solutions, including Retrieval-Augmented Generation (RAG) architectures, querying structured data using natural language, content generation, and monitoring solutions. Qualifications: Minimum of 5 years of experience in a customer-facing technical role, with a focus on pre-sales or post-sales support across diverse industry sectors. 5+ years of hands-on machine learning experience in at least one of the following roles: ML Engineer: Developing production-grade cloud infrastructure (AWS/Azure/GCP) to support the deployment of machine learning applications, including drift monitoring. Data Scientist: Proficient in modern natural language processing techniques, including vector databases, fine-tuning of large language models (LLMs), and deploying LLMs using tools such as HuggingFace, Langchain, and OpenAI. Graduate degree in a relevant field is preferred.

Join PA Consulting Group as a Managing Consultant in the Financial Services sector, focusing on Artificial Intelligence. In this pivotal role, you will leverage your expertise to drive innovation and deliver cutting-edge solutions to our clients. You will work collaboratively with a dynamic team, utilizing advanced AI techniques to enhance our consulting services and help financial institutions navigate the complexities of digital transformation.

Role Overview WPP Media is hiring a Director of Business Intelligence in London. This leader sets the direction for analytics and data insights, shaping how the organization uses information to make decisions and improve results. The role holds responsibility for guiding business performance through effective use of data.

1211 - Director of Data Science - DTAAbout WPP MediaWPP is the creative transformation company, leveraging creativity to forge better futures for individuals, communities, and the planet. Discover more at wpp.com.WPP Media, as part of WPP, serves as our global media collective. In a landscape where media is omnipresent, we unite premier platforms, talent, and partnerships to create boundless growth opportunities. For further information, visit wppmedia.com.About Choreograph: A Leading WPP Media BrandChoreograph is WPP’s global data products and technology powerhouse. Our mission is to revolutionize marketing through the creation of the fastest, most interconnected data platform that links marketing strategies with large-scale activations.By integrating technology, data, and analytical prowess, we work alongside agencies and clients to unlock the full potential of data. This is achieved through our Open Media Studio, an AI-powered media and data platform tailored for the next generation of advertising.Our team is fueled by curiosity, comprised of over 1,000 innovators, thinkers, and problem-solvers spread across 20 global markets.Role Summary and ImpactThe Director of Data Science plays a pivotal leadership role within a broader team focused on the deployment and development of predictive models for our clients. You will lead and mentor a talented team, collaborating closely with senior experts from Google Cloud and Google Marketing to apply advanced modeling methodologies that enhance our customers' media and marketing solutions. As the Team Lead, you will be responsible for steering the team in the creation of industry-relevant predictive models aimed at optimizing our clients' media investments.This role emphasizes the leadership of analytical solutions derived from machine learning and statistical predictive algorithms, leveraging the Google technology stack and agent development for our customers. We seek a Team Lead with extensive experience in algorithmic data analysis, a proven track record of scientific research, and a history of spearheading successful data science initiatives.

With Intelligence, now a part of S&P Global, is at the forefront of revolutionizing data offerings for participants in alternatives and private markets. As a member of a global organization boasting over 35,000 employees, we possess the unique ability to understand intricate nuances while maintaining a wide-ranging perspective. We empower our clients to assess new investment opportunities within the capital and commodities markets, navigate the energy sector's expansion, harness the acceleration of artificial intelligence, and adapt to the evolving landscape of public and private markets. Our mission is to advance essential intelligence.We are embarking on an exciting phase of growth, with significant funding aimed at transforming us into a pioneering, data-centric platform that places information, automation, and insights at its core.To meet the escalating demands of a dynamic, data-driven organization, we are expanding our data capabilities. This role is an outstanding opportunity for an enthusiastic individual ready to make a tangible impact while engaging with cutting-edge tools and contributing to our data strategy across products and teams.Your ResponsibilitiesDesign, develop, and maintain scalable data architectures and ETL pipelines.Build and manage data models and data warehouse solutions utilizing Airflow, dbt, and Redshift.Write clean, efficient Python and SQL code for data processing and transformation.Integrate data from internal and third-party APIs and services.Optimize data pipelines for performance, scalability, and reliability.Collaborate with data scientists, analysts, and engineering teams to fulfill business requirements.Implement and uphold data security and compliance standards.Utilize version control systems (e.g., Git) to manage and maintain project codebases.Contribute to the ongoing enhancement of data processes and tooling across the organization.

Are you ready to elevate your career? At Almedia, we provide an unparalleled platform for ambitious professionals to thrive and advance at an accelerated pace. We are on a mission to establish ourselves as Germany’s premier bootstrapped unicorn and have already achieved the status of Europe’s third fastest-growing company as per the FT1000 in 2025.We're revolutionizing marketing by creating a unique ecosystem where our community of over 60 million users is rewarded for engaging with top-tier advertisers' products. This innovative approach is redefining user acquisition for the world's leading brands.Position Overview: Director of Machine LearningWe are seeking a dynamic Director of Machine Learning who possesses the ability to build innovative solutions from the ground up, delve deeply into technical aspects, and cultivate a robust, high-performing team. This is a hands-on leadership role where your expertise will be critical.Key ResponsibilitiesLead the entire ML roadmap, from identifying problems to implementing solutions in production environments.Design, develop, and deploy recommendation systems and other essential ML products.Engage in hands-on development: prototype, code, and iterate rapidly.Recruit and nurture a high-ownership ML team.Elevate technical standards across architecture, reviews, and strategic initiatives.QualificationsExtensive background in ML engineering with experience in scalable production systems.Proven experience in recommender systems, pricing strategies, advertising technologies, or related fields.Demonstrated ability to build new ML products or teams from zero to one.A strong track record of success within fast-paced, high-ownership startup environments.Why Choose Almedia?Join a scaling startup: Make a significant impact and grow with a company that has been profitable since its inception.Thriving Environment: We empower our staff to take ownership of projects, constantly striving to elevate performance.Rewarding Excellence: We offer a generous bonus scheme to recognize and reward proactive contributions.At Almedia, we are committed to nurturing talent, assessing diverse skill levels during recruitment, and providing clear pathways for professional growth. We are an equal opportunity employer and celebrate diversity, inviting individuals from all backgrounds to apply.

Who We AreAt The Economist Group (TEG), our mission is to inspire progress. Our diverse businesses are united by a commitment to innovation, independence, and intellectual rigor. We empower individuals and organizations to confront the pressing challenges and transformations shaping our world. Our analytical expertise and global insights provide the clarity needed to navigate these complexities effectively.We deliver high-quality analysis and insights to our subscribers and clients in 170 countries through our esteemed brands: The Economist, Economist Impact, Economist Intelligence, and Economist Education, all of which reflect our global reputation for excellence and integrity.Role Title: Head of Data ScienceLocation: UK-based (with support from India-based teams)Reports to: VP Insights & Decision ScienceTeam: 6 Data Scientists (split between Decision Science and Personalisation)Purpose of RoleThe Head of Data Science is a pivotal leadership role tasked with constructing and leading a premier "decision engine" team. As a principal architect of our "AI-driven future," you will spearhead the evolution of The Economist’s Data Science division from a service-oriented function to a "trusted adviser" that provides commercially transformative insights and top-tier personalisation capabilities.Your responsibilities include establishing and elevating the technical and operational standards of the team, while cultivating a culture centered on technical excellence and innovation.Your role encompasses two vital areas:Decision Science: Developing the capacity for causal inference and sophisticated forecasting to facilitate high-stakes strategic decisions, such as analyzing subscriber behavior and its impact on retention and value, optimizing marketing and media strategies, understanding content performance drivers, and modeling pricing and customer lifetime value.Personalisation: Rapidly enhancing our recommendation and pricing engines to boost subscriber acquisition, engagement, retention, and lifetime value metrics.Measures of SuccessQualitative Measures:Fostering a team environment that prioritizes innovative solutions.Enhancing collaboration across departments to achieve strategic goals.

About GoCardlessAt GoCardless, we are pioneers in global bank payment solutions. More than 100,000 businesses, ranging from innovative start-ups to well-established brands, trust us to facilitate seamless payment collections and transfers through direct debit, real-time payments, and open banking.With an impressive annual processing volume of over US$130bn across 30+ countries, we empower our clients to manage both recurring and one-off payments effortlessly, eliminating the hassle of chasing payments and costly fees. Our advanced AI-driven solutions enhance payment success rates and combat fraud effectively. By leveraging open banking connections with over 2,500 banks, we enable our customers to make faster and more informed financial decisions.Headquartered in the UK, with offices in London and Leeds, we also have a presence in Australia, France, Ireland, Latvia, Portugal, and the United States.At GoCardless, we prioritize support and inclusivity. Our hiring process is designed to be accessible to all candidates. If you require any adjustments or assistance, please contact your Talent Partner — we are here to support you!We believe that potential outweighs perfection; if you are excited about this opportunity, we encourage you to apply!The RoleData is integral to our mission. We utilize bank account data to create high-value, intelligent payment solutions that enhance payment success and prevent fraud.As the Data Science Manager in our Payment Intelligence team, you will collaborate with Software Engineers, Product Managers, and Designers to convert groundbreaking ideas into reality. You will oversee the entire lifecycle of our algorithms, from initial conception to production-ready code that fuels our global payment network.At GoCardless, our tech stack revolves around Google Cloud Platform and Vertex AI, fostering a high-performance environment for innovation. Our Data Scientists work at the intersection of Python, SQL, and BigQuery to develop and deploy scalable, high-performance models.

Join Us as a Product Data Science Manager at Similarweb At Similarweb, we are at the forefront of transforming how businesses engage with the digital landscape, providing unparalleled insights into online activities. Our innovative data and solutions empower a global clientele of over 5,700 customers, including industry leaders like Google, Meta, and OpenAI, to make impactful decisions that shape their digital strategies. Following our public listing on the New York Stock Exchange in 2021, we continue to soar to new heights! Join a diverse team of Similarwebbers worldwide who are intelligent, inquisitive, pragmatic, and dedicated. Role Overview We are seeking a dynamic and experienced Product Data Science Manager to lead a customer-centric team within our dynamic Data Labs group. In this pivotal role, you will mentor and manage a high-performing team of product data scientists while remaining actively involved in the technical aspects of our projects. You will be tasked with delivering intricate, tailored insights to some of the most prominent brands in the industry, ensuring both analytical rigor and significant client impact. This hands-on leadership position merges people management, technical expertise, and cross-functional collaboration. You will set benchmarks, implement best practices, and contribute to the evolution of Similarweb's bespoke data solutions. Daily Responsibilities Lead, mentor, and cultivate a team of customer-focused data analysts, promoting a culture rooted in ownership, excellence, and continuous improvement. Oversee the comprehensive delivery of intricate, custom data products from initial client engagement and solution design through to execution and ongoing support. Uphold high analytical and technical standards within the team, including competencies in SQL, PySpark, Python, and data validation methodologies. Serve as a point of escalation for complex analytical issues, offering practical guidance as needed. Collaborate closely with Engineering to establish scalable infrastructure and productized solutions. Work alongside Advisory Services and other stakeholders to provide seamless, high-impact client solutions. Champion process enhancements, knowledge sharing, and documentation to amplify the team's effectiveness and efficiency. Balance client demands, team capabilities, and project timelines while maintaining a commitment to quality.

At Similarweb, we are transforming how businesses engage with the digital landscape by providing comprehensive insights into online activities.Our unparalleled data and innovative solutions empower over 5,700 clients worldwide, including industry leaders such as Google, Meta, and OpenAI, to make impactful decisions that shape their digital strategies. Since going public on the New York Stock Exchange in 2021, we have consistently achieved new milestones! Join a global team of Similarwebbers who are bright, inquisitive, practical, and genuinely good people.About the RoleWe are on the lookout for a seasoned and motivational Product Data Science Manager to spearhead a customer-oriented team within our dynamic Data Labs division. In this role, you will guide and mentor a talented group of product data scientists while staying closely involved in technical initiatives. Your primary responsibility will be to deliver intricate, tailored insights to some of the most prominent names in the industry, ensuring analytical rigor and significant client impact.This hands-on leadership role merges team management, technical expertise, and collaborative efforts across various functions. You will establish benchmarks, promote best practices, and contribute to the evolution of Similarweb's bespoke data solutions.What does a typical day look like for a Product Data Science Manager (Data Labs) at Similarweb?Lead, mentor, and cultivate a team of customer-facing data analysts, promoting a culture of accountability, excellence, and lifelong learning.Oversee the complete delivery process of complex, customized data products—from client scoping and solution design to execution and ongoing support.Uphold high analytical and technical standards throughout the team, including proficiency in SQL, PySpark, Python, and data validation best practices.Serve as an escalation point for intricate analytical issues, providing hands-on support when necessary.Collaborate closely with Engineering to define scalable infrastructure and productized solutions.Work with Advisory Services and other stakeholders to deliver seamless, high-impact client solutions.Drive process enhancements, knowledge sharing, and documentation to amplify the team’s effectiveness and reach.Balance client demands, team capacity, and delivery timelines while ensuring the highest quality standards.

With Intelligence, now integrated within S&P Global, offers an unparalleled suite of data solutions for participants in the alternatives and private markets sectors. As part of a global organization boasting over 35,000 employees, we leverage our extensive expertise to grasp market nuances while maintaining a holistic perspective. Our mission is to empower leading organizations to seize opportunities, address challenges, and strategically plan for the future. We are dedicated to Advancing Essential Intelligence.As a Key Account Manager, you will be an integral member of our established Account Management Team, reporting directly to the Head of Sales in our Public Markets sector.The Role:Manage a portfolio of key accounts, focusing on asset managers and service providers by fostering relationships with C-suite executives and other key stakeholders. Drive engagement with the With Intelligence platform and oversee the renewal and upselling of annual license contracts.Achieve quarterly growth targets for your assigned accounts by thoroughly understanding your clients' business needs and aligning them with the With Intelligence product suite, driving new business through cross-selling and expanding into new teams.Enhance your expertise in the institutional asset management domain, understanding client requirements and competitive landscape to effectively position the With Intelligence platform and maximize revenue.Oversee and cultivate your revenue stream through existing business opportunities.Conduct timely and efficient pipeline management, working towards targets and deadlines to close contracts of varying complexities.

About the Role Wise is looking for a Data Science Lead to join the Anti-Money Laundering (AML) Risk team in London. This leadership role focuses on developing data-driven strategies that strengthen AML risk detection and mitigation across the platform. What You Will Do Work with cross-functional teams to analyze complex datasets and uncover patterns related to AML risk. Develop predictive models and risk assessment frameworks that align with regulatory requirements. Implement solutions that protect customers and maintain the integrity of Wise's services. Translate data insights into recommendations that influence business decisions. Lead and mentor a team of data scientists and analysts, encouraging ongoing learning and improvement. Who You Are Experienced in data science, with a strong background in risk modeling and analytics. Comfortable working with large, complex datasets and building predictive models. Skilled at collaborating with colleagues from different disciplines. Ready to guide a team and foster a culture of innovation.

Ramboll is seeking a visionary Director of Life Sciences and Pharmaceuticals to lead our dynamic team in London. In this pivotal role, you will leverage your extensive industry expertise to drive innovative solutions and strategic initiatives in the life sciences sector. You will collaborate with cross-functional teams to enhance our service offerings and ensure the highest standards of excellence.

Role Overview Prolific is hiring a Data Science Manager to join the Supply Marketplace team. This role can be based in London or remote within the UK. What You Will Do Lead a team of data scientists focused on marketplace performance. Guide the team in uncovering insights that shape data-driven strategies. Work closely with colleagues across departments to improve user experience and operational efficiency. Use data to support decision-making and encourage innovation within the team. About the Team The Supply Marketplace team at Prolific collaborates across disciplines to optimize how users interact with the platform. Data plays a central role in shaping both strategy and day-to-day improvements.

Data Science ManagerAt Deliveroo, we are committed to revolutionizing the way people shop and dine. Our mission is driven by a culture of impact, innovation, and growth. The Data Science team is pivotal to our operations, facilitating insightful decision-making for our product, commercial, and operational teams through advanced experimentation, causal inference, and cutting-edge machine learning techniques.We are excited to expand our team by hiring multiple Data Science Managers across various business domains. Instead of slotting you into a predefined role, our recruitment process aims to uncover your unique strengths and interests, enabling us to match you with a position that aligns perfectly with your skills and aspirations.Your ResponsibilitiesAs a Data Science Manager, you will lead the analytical strategy and drive measurable outcomes for a specific product or business area while mentoring a high-performing team of data scientists or machine learning engineers. Your responsibilities will include:Designing and implementing experimentation and causal inference frameworks to enhance customer retention, loyalty, and subscription growth.Spearheading pricing, promotions, and value strategies that balance growth with profitability and long-term customer trust.Creating machine learning or optimization models to enhance delivery logistics, rider pricing, or marketplace efficiency.Enhancing discovery, search, or personalization through rapid iteration on impactful algorithms.Driving customer acquisition and engagement across restaurants, retail, or new verticals using data-driven targeting and incentives.In all roles, you will remain actively engaged while managing your team. You will identify significant problems worth addressing and ensure that data science efforts translate into actionable insights for improved product and commercial strategies. Collaboration with Product, Engineering, Operations, Marketing, and Finance will be essential as you set the standard for analytical rigor, prioritization, and impact amidst complex metrics and stakeholder opinions.Your QualificationsThe ideal candidate will possess strong expertise in some of the following areas while demonstrating a desire to grow in others:Proven experience in managing data scientists or machine learning engineers and facilitating their professional development.A substantial background as a senior individual contributor, with practical experience in experimentation, causal inference, or applied machine learning.Demonstrated skill in identifying high-impact opportunities and transforming them into actionable strategies.

Join Benchling as a Solution Consultant for IT and Data Science, where you'll leverage your expertise to drive innovative solutions and optimize our offerings. You will work closely with clients, translating their needs into actionable insights and strategies. Your role will involve collaborating with cross-functional teams to enhance product capabilities and ensure client satisfaction.

Veeva Systems Inc. is dedicated to revolutionizing the life sciences sector through innovative cloud solutions, empowering companies to expedite the delivery of therapies to patients. As a trailblazer in the SaaS industry, we achieved over $2 billion in revenue last fiscal year, with vast growth opportunities on the horizon.Our core values, including Doing the Right Thing, Customer Success, Employee Success, and Speed, define our work culture. In 2021, we made history by becoming a public benefit corporation (PBC), which reflects our commitment to balancing the interests of all stakeholders.As a Work Anywhere organization, we foster a flexible work environment that allows you to choose the setting where you work best, whether that is from home or in the office.Join us in transforming the life sciences industry, and making a meaningful impact on our customers, employees, and communities.The RoleIn the Veeva Link team, we are constructing the intelligence framework for the life sciences sector, developing connected data applications that accelerate drug development and improve patient outcomes significantly. Our philosophy is simple: the combination of top-quality data and advanced software drives immense value.Our focus on execution emphasizes speed, accuracy, and quality in our daily endeavors. We apply a well-defined engineering approach to create clear product specifications, leading to precise technical designs. Utilizing a modern tech stack, we deliver inherently reliable applications along with an exceptional user experience.Our work encompasses two essential domains:Data-Driven InsightsWe create advanced applications that map and analyze global scientific and medical expertise, yielding high-impact insights and AI-driven intelligence. Our engineers tackle intricate data modeling, entity resolution, and cutting-edge machine learning challenges.Intelligent Business Workflows