Product Data Science Manager

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.

Join PA Consulting Group as a Managing Consultant specializing in Transport and Data Science. In this pivotal role, you will leverage your expertise to drive innovative solutions that enhance transportation systems and optimize data analytics. Collaborate with clients from various sectors to deliver impactful insights that shape the future of transport.

Join PA Consulting Group as a Managing Consultant specializing in Data Science within our Consulting department. In this pivotal role, you will leverage your expertise in data analytics and strategic consulting to drive impactful decisions for our clients. Collaborate with cross-functional teams to develop innovative data-driven solutions that enhance business performance. Your insights will help shape the future of various industries, making this an exciting opportunity for those who thrive on challenge and innovation.

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.

About Braze Braze values its people and culture. The team is approachable, supportive, and dedicated to the company mission. High standards, teamwork, and work-life balance shape the way Braze grows globally and works toward equity and opportunity both inside and outside the organization. Autonomy, accountability, and openness to new ideas are important here. Curiosity and diverse interests add to a vibrant workplace. People who are proactive and adaptable can make a real impact at Braze. Role Overview The Senior Lead AI Solutions Consultant will drive new and expansion revenue by helping clients understand and adopt the Braze AI suite. This role acts as a pre-sales data scientist: scoping use cases, building credibility with enterprise data scientists, running proofs-of-concept, and leading educational and advocacy programs like AI Academies. This position works closely with both technical and non-technical stakeholders, building trusted relationships and encouraging new approaches to customer lifecycle marketing. Some travel may be required, up to 25% during peak periods. Key Responsibilities Present the Braze AI product portfolio to top prospects. Lead technical discussions about advanced data science offerings and answer technical questions. Run demos and proofs of concept, support integrations, and deliver actionable insights. Serve as the main instructor for AI Academy programs, leading one-day interactive workshops that teach AI concepts through guided exercises and discussions. Advocate for AI testing and reinforcement learning as a thought leader. Maintain deep knowledge of competitive and complementary technologies to position Braze effectively. Work with teams across sales, marketing, product, and engineering to improve Braze’s products and external resources. Location This role is based in London.

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.

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.

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.

Join Capco as a Data Analytics Consultant and be at the forefront of transforming data into actionable insights. In this role, you will collaborate with clients across various industries, leveraging advanced analytical techniques to drive business decisions and strategies. Your expertise will help organizations harness the power of data, ensuring they remain competitive in a rapidly evolving market.

Role overview Telefonica Tech is looking for a Senior Data Consultant based in London. The role centers on developing data-driven strategies and delivering tailored solutions for a diverse group of clients. Collaboration with colleagues from various departments is key, as the position requires turning analytical work into insights that help clients achieve their business objectives. What you will do Collaborate with cross-functional teams to clarify client needs and define project goals Use analytical techniques to interpret complex data sets and spot trends Convert analysis into actionable recommendations that support better business results

Role overview Telefonica Tech is hiring a Data Consultant based in London. This position involves applying data analytics to help guide strategic decisions and strengthen business outcomes for clients. The role centers on handling complex datasets and transforming raw data into clear, actionable insights. What you will do Work with large and intricate datasets, analyzing and interpreting information to uncover trends and patterns Convert data findings into practical recommendations that clients can use Assist clients in reaching their business objectives by developing data-driven solutions

We welcome applications from all our office locations: Newbury, Reading, London, Liverpool, Glasgow (UK); Šibenik, Croatia (considered) Join our team of innovators! .We are not building structures; we are architects of data systems, striving to make a significant impact in the Data World.Our projects span diverse sectors, including telecommunications, insurance, finance, and mortgages, offering you a fascinating insight into various industries.‍ We are on the lookout for exceptional Consultants. If you are eager to join a dynamic team where your expertise will help our clients navigate their data and technology challenges, then keep reading! About the TeamAt Intuita, we are a rapidly evolving consultancy making strides in both the consulting and technology realms. With ambitious goals for the upcoming years, we are keen to onboard talented professionals who will play a crucial role in our journey to exceed client expectations. We are now part of FSP Consulting, charting an exciting and ambitious future! Position OverviewWe are in search of proficient MS Fabric Data Engineers to join our team. Initially, this role may be contract-based, with the possibility of transitioning into a permanent consultancy position. We are agile in our hiring process, so candidates who are available immediately or quickly are preferred, along with holding permanent work rights.In this role, you will be tasked with:Key ResponsibilitiesDesigning and maintaining comprehensive data solutions using Microsoft Fabric, covering Data Engineering, Data Factory, and Data Warehouse functionalities.Managing and optimizing data storage within OneLake, ensuring that data assets are well-governed and structured for sharing.Developing scalable Spark (PySpark/Spark SQL) data transformations via Fabric notebooks to handle high-volume processing.Creating, orchestrating, and monitoring effective data ingestion and transformation pipelines using Fabric Data Factory.Implementing rigorous governance, security, and data lineage practices utilizing Microsoft Purview.Building and maintaining CI/CD pipelines for the automated deployment of Fabric assets, notebooks, and data pipelines.‍Your ProfileWhile we thrive on collaboration with talented individuals, we are particularly interested in candidates who possess the following:

Join Talan as a Data Engineering Consultant and play a pivotal role in shaping data-driven solutions for our clients. This full-time position based in London offers you the chance to work alongside industry experts, utilizing advanced data engineering techniques to drive innovation and efficiency.

Wise seeks a Data Science Lead to join the Anti-Money Laundering (AML) Risk team in London. This leadership position centers on building data-driven strategies to improve how Wise detects and manages AML risk throughout its platform. Key responsibilities Analyze complex datasets with cross-functional partners to identify patterns related to AML risk. Create predictive models and risk assessment frameworks that meet regulatory standards. Develop and implement solutions to protect customers and uphold the integrity of Wise's services. Convert data findings into clear recommendations that shape business decisions. Lead, mentor, and support a team of data scientists and analysts, encouraging continuous learning and growth. What we’re looking for Significant experience in data science, particularly in risk modeling and analytics. Ability to work with large, complex datasets and build predictive models. Strong collaboration skills with colleagues from a range of backgrounds. Leadership experience, with a focus on guiding teams and fostering innovation.

Join Wavestone as a Senior Consultant or Manager in our Data and AI division, where you will play a pivotal role in shaping innovative solutions for our clients. You will leverage your expertise in data analytics, artificial intelligence, and strategic consulting to drive impactful results. Collaborate with cross-functional teams to deliver high-quality projects that enhance business performance.

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.

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.

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