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Experience Level
Mid to Senior
Qualifications
To succeed in this role, you should possess:A strong background in Data Science, with relevant technical skills and experience. Proven track record in consulting, ideally within a mid-senior level capacity. Excellent communication skills, with the ability to present complex data in an understandable manner. Ability to work collaboratively within a team and manage multiple projects simultaneously. A passion for driving change and delivering measurable results for clients.
About the job
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 PA Consulting Group
PA Consulting Group is a leading consulting firm that specializes in innovation and transformation across various sectors. Our team is dedicated to solving the toughest challenges faced by our clients, combining deep industry knowledge with cutting-edge technology. At PA, we believe in empowering our people to make a difference and create lasting impact.
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.
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 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.
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.
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.
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 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.
Join Wise as a Senior Data Science Manager in our Marketing team, where you will play a pivotal role in driving data-driven strategies that enhance our global marketing efforts. You will leverage your expertise in data science to analyze market trends, customer behavior, and campaign performance, providing actionable insights that will shape our marketing initiatives.In this position, you will lead a team of data scientists, fostering a collaborative environment that encourages innovation and professional growth. Your leadership will be crucial in developing advanced models and algorithms that optimize our marketing strategies, ensuring we remain at the forefront of our industry.
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.
Data Science ManagerLocation: London (Hybrid) | Practice Area: Data & Analytics | Type: PermanentDrive Data Innovation and Shape Intelligent Solutions.About the RoleJoin our dynamic team as a Data Science Manager where you will spearhead groundbreaking projects utilizing data, artificial intelligence, and machine learning to tackle intricate challenges within the financial services sector. You will lead a team of skilled data professionals, collaborate closely with business stakeholders, and create impactful, scalable solutions that generate significant business outcomes.Your ResponsibilitiesDirect data science teams in designing, developing, and deploying advanced machine learning and AI solutions.Champion the integration of cutting-edge technologies such as generative AI, large language models (LLMs), and agentic AI frameworks.Work in partnership with business and technology teams to align technical deliverables with strategic business objectives.Provide expert guidance and best practices throughout the data science lifecycle, from initial exploration to final deployment.Mentor and nurture data professionals, fostering a culture of innovation and excellence.Ideal Candidate ProfileDemonstrated success in leading data science or AI initiatives from conception through to production.Strong proficiency in Python and key machine learning libraries (e.g., spaCy, NumPy, SciPy, Transformers).Familiarity with big data and cloud technologies (e.g., Spark, Hadoop, Azure, AWS, GCP).In-depth knowledge of MLOps principles, scalable model deployment, and governance.Exceptional communication and stakeholder management abilities with a knack for translating data insights into tangible business value.Desirable AttributesMaster’s or PhD in a quantitative field.Experience within the Banking or Financial Services industry.Familiarity with GenAI, LLMs, and intelligent agent workflows.Experience in DevOps, CI/CD processes, and deploying machine learning systems.A passion for mentoring and developing emerging data talent.Why Capco?Deliver transformative, high-impact data solutions for leading financial institutions.Engage in a collaborative, entrepreneurial consulting environment.Benefit from continuous learning, training, and development opportunities.
Why Choose PlayStation?At PlayStation, we pride ourselves on being the premier destination for gaming enthusiasts, as well as a top-tier workplace. Our commitment to innovation has positioned us as a global leader in the entertainment industry, delivering exceptional products and services, including the PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, and a suite of award-winning titles from PlayStation Studios.We are dedicated to cultivating an inclusive work environment that celebrates diversity and empowers our employees. If you have a passion for technology, innovation, and play, we invite you to explore our exciting job openings and join our expanding global team.The PlayStation brand operates under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.As the Data Science Manager, you will spearhead a talented team focused on experimentation and causal inference, playing a pivotal role in shaping data-driven decision-making and product innovation at SIE. This leadership position marries technical expertise with managerial responsibilities. You will spearhead advanced research in experimentation methodologies while mentoring and supporting a team of skilled data scientists. Your leadership will elevate our experimentation strategy, instill a culture of curiosity and rigor, and empower cross-functional teams to deliver player-centric experiences backed by robust, evidence-based insights.
Full-time|Remote|Remote — London, England, United Kingdom
About UsAt C-Link, we’re transforming the landscape of construction procurement through innovative workflow automation, enabling subcontractors to secure opportunities more effectively. As a rapidly expanding ConTech enterprise, we proudly operate under two prominent brands:C-Link (www.c-link.com) – A cutting-edge procurement software solution designed for main contractors and developers.Prosper (www.weallprosper.co.uk) – A comprehensive marketplace and lead generation platform tailored for subcontractors.With bold growth ambitions and a commitment to redefining procurement practices within the construction sector, we are expanding our marketing team and seeking a dynamic Product Marketing Manager to enhance product positioning, comprehension, and market adoption.The RoleAs the Product Marketing Manager, you will be pivotal in bridging Product, Marketing, Sales, and Customer Success teams. Your main responsibility will be to translate our product capabilities into clear, compelling value propositions for our target customers, empowering our commercial teams to excel.This is a high-impact, senior-level individual contributor role where you will own product positioning, execute go-to-market strategies, and derive customer insights in a fast-paced SaaS environment.What You’ll Be DoingLead the evolution of C-Link’s product positioning, messaging, and value propositions for key personas and ideal customer profiles (ICPs).Direct go-to-market planning for new product features and releases, collaborating closely with Product and Sales teams.Create impactful sales enablement materials, including pitch decks, one-pagers, case studies, and launch assets.Gather deep customer and market insights through interviews, win/loss analysis, surveys, and data analysis.Maintain detailed buyer personas, use cases, and customer journey narratives.Contribute to competitive analysis, positioning, and pricing strategies.Oversee the creation of product-centric content, customer success stories, and educational resources.Partner with Sales and Customer Success to ensure consistent messaging throughout the buyer journey.Manage relationships with external agencies, designers, and freelancers to deliver high-quality outputs.What We’re Looking ForA minimum of 5 years’ experience in B2B SaaS marketing, with a strong emphasis on product marketing.Proven track record in product positioning, supporting launches, and influencing successful go-to-market strategies.Exceptional storytelling, writing, and communication skills.A strong analytical mindset with the ability to work comfortably with customer and performance data.Confident cross-functional collaborator who can influence without direct authority.Experience in the ConTech or construction industry is highly desirable.Familiarity with HubSpot and SaaS environments is preferred.Why Join Us?Join a high-growth, innovative company where your contributions will have a direct impact.
Join our innovative team at C-Serv as an NGINX Professional Services Consultant, where your technical expertise will play a crucial role in executing a variety of exciting projects. You will be an integral part of a leading multi-cloud application delivery vendor, collaborating with a vibrant and expanding team.At C-Serv, you will have the opportunity to demonstrate your skills while assisting clients in navigating the complexities of advanced technical solutions. Our company is a pioneer in applying technology for application delivery and security across diverse infrastructures—whether on-premises, in the cloud, or in hybrid environments globally.Role OverviewAs a customer-facing expert in F5 NGINX technology, you will guide clients in implementing innovative solutions to overcome challenges and achieve their objectives. This is your chance to provide consultancy and mentorship, sharing your insights on NGINX products. You will understand and communicate each project's goals and success factors, engaging in collaborative discussions to ensure that every client's expectations are not only met but surpassed.
Join Wise as a Senior Data Science Manager focused on enhancing our Customer Support operations. In this pivotal role, you will lead a talented team of data scientists, driving data-driven strategies to optimize customer experiences and improve support efficiency. You will collaborate closely with cross-functional teams to analyze customer data, identify trends, and provide actionable insights that influence product development and support initiatives.
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
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:
Canva is growing its presence across Europe, the Middle East, and Africa. The Data Science Manager for EMEA Expansion will guide a team of data scientists focused on supporting this growth. The team’s work will help shape strategic decisions and uncover opportunities in these regions. Role overview This position involves leading analytics and machine learning projects from concept to delivery. The manager will coordinate with cross-functional partners to identify business needs and turn complex data into clear, actionable insights. The role emphasizes both team leadership and hands-on technical guidance. What you will do Lead and mentor a team of data scientists working on EMEA-focused projects Drive the development of analytics and machine learning solutions Collaborate with other teams to identify and prioritize business opportunities Translate data findings into recommendations that support Canva’s expansion Requirements Experience managing data science teams Strong background in analytics and machine learning Ability to communicate complex data concepts to non-technical stakeholders Comfort working with cross-functional groups
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.
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 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.
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.
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.
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 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.
Join Wise as a Senior Data Science Manager in our Marketing team, where you will play a pivotal role in driving data-driven strategies that enhance our global marketing efforts. You will leverage your expertise in data science to analyze market trends, customer behavior, and campaign performance, providing actionable insights that will shape our marketing initiatives.In this position, you will lead a team of data scientists, fostering a collaborative environment that encourages innovation and professional growth. Your leadership will be crucial in developing advanced models and algorithms that optimize our marketing strategies, ensuring we remain at the forefront of our industry.
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.
Data Science ManagerLocation: London (Hybrid) | Practice Area: Data & Analytics | Type: PermanentDrive Data Innovation and Shape Intelligent Solutions.About the RoleJoin our dynamic team as a Data Science Manager where you will spearhead groundbreaking projects utilizing data, artificial intelligence, and machine learning to tackle intricate challenges within the financial services sector. You will lead a team of skilled data professionals, collaborate closely with business stakeholders, and create impactful, scalable solutions that generate significant business outcomes.Your ResponsibilitiesDirect data science teams in designing, developing, and deploying advanced machine learning and AI solutions.Champion the integration of cutting-edge technologies such as generative AI, large language models (LLMs), and agentic AI frameworks.Work in partnership with business and technology teams to align technical deliverables with strategic business objectives.Provide expert guidance and best practices throughout the data science lifecycle, from initial exploration to final deployment.Mentor and nurture data professionals, fostering a culture of innovation and excellence.Ideal Candidate ProfileDemonstrated success in leading data science or AI initiatives from conception through to production.Strong proficiency in Python and key machine learning libraries (e.g., spaCy, NumPy, SciPy, Transformers).Familiarity with big data and cloud technologies (e.g., Spark, Hadoop, Azure, AWS, GCP).In-depth knowledge of MLOps principles, scalable model deployment, and governance.Exceptional communication and stakeholder management abilities with a knack for translating data insights into tangible business value.Desirable AttributesMaster’s or PhD in a quantitative field.Experience within the Banking or Financial Services industry.Familiarity with GenAI, LLMs, and intelligent agent workflows.Experience in DevOps, CI/CD processes, and deploying machine learning systems.A passion for mentoring and developing emerging data talent.Why Capco?Deliver transformative, high-impact data solutions for leading financial institutions.Engage in a collaborative, entrepreneurial consulting environment.Benefit from continuous learning, training, and development opportunities.
Why Choose PlayStation?At PlayStation, we pride ourselves on being the premier destination for gaming enthusiasts, as well as a top-tier workplace. Our commitment to innovation has positioned us as a global leader in the entertainment industry, delivering exceptional products and services, including the PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, and a suite of award-winning titles from PlayStation Studios.We are dedicated to cultivating an inclusive work environment that celebrates diversity and empowers our employees. If you have a passion for technology, innovation, and play, we invite you to explore our exciting job openings and join our expanding global team.The PlayStation brand operates under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.As the Data Science Manager, you will spearhead a talented team focused on experimentation and causal inference, playing a pivotal role in shaping data-driven decision-making and product innovation at SIE. This leadership position marries technical expertise with managerial responsibilities. You will spearhead advanced research in experimentation methodologies while mentoring and supporting a team of skilled data scientists. Your leadership will elevate our experimentation strategy, instill a culture of curiosity and rigor, and empower cross-functional teams to deliver player-centric experiences backed by robust, evidence-based insights.
Full-time|Remote|Remote — London, England, United Kingdom
About UsAt C-Link, we’re transforming the landscape of construction procurement through innovative workflow automation, enabling subcontractors to secure opportunities more effectively. As a rapidly expanding ConTech enterprise, we proudly operate under two prominent brands:C-Link (www.c-link.com) – A cutting-edge procurement software solution designed for main contractors and developers.Prosper (www.weallprosper.co.uk) – A comprehensive marketplace and lead generation platform tailored for subcontractors.With bold growth ambitions and a commitment to redefining procurement practices within the construction sector, we are expanding our marketing team and seeking a dynamic Product Marketing Manager to enhance product positioning, comprehension, and market adoption.The RoleAs the Product Marketing Manager, you will be pivotal in bridging Product, Marketing, Sales, and Customer Success teams. Your main responsibility will be to translate our product capabilities into clear, compelling value propositions for our target customers, empowering our commercial teams to excel.This is a high-impact, senior-level individual contributor role where you will own product positioning, execute go-to-market strategies, and derive customer insights in a fast-paced SaaS environment.What You’ll Be DoingLead the evolution of C-Link’s product positioning, messaging, and value propositions for key personas and ideal customer profiles (ICPs).Direct go-to-market planning for new product features and releases, collaborating closely with Product and Sales teams.Create impactful sales enablement materials, including pitch decks, one-pagers, case studies, and launch assets.Gather deep customer and market insights through interviews, win/loss analysis, surveys, and data analysis.Maintain detailed buyer personas, use cases, and customer journey narratives.Contribute to competitive analysis, positioning, and pricing strategies.Oversee the creation of product-centric content, customer success stories, and educational resources.Partner with Sales and Customer Success to ensure consistent messaging throughout the buyer journey.Manage relationships with external agencies, designers, and freelancers to deliver high-quality outputs.What We’re Looking ForA minimum of 5 years’ experience in B2B SaaS marketing, with a strong emphasis on product marketing.Proven track record in product positioning, supporting launches, and influencing successful go-to-market strategies.Exceptional storytelling, writing, and communication skills.A strong analytical mindset with the ability to work comfortably with customer and performance data.Confident cross-functional collaborator who can influence without direct authority.Experience in the ConTech or construction industry is highly desirable.Familiarity with HubSpot and SaaS environments is preferred.Why Join Us?Join a high-growth, innovative company where your contributions will have a direct impact.
Join our innovative team at C-Serv as an NGINX Professional Services Consultant, where your technical expertise will play a crucial role in executing a variety of exciting projects. You will be an integral part of a leading multi-cloud application delivery vendor, collaborating with a vibrant and expanding team.At C-Serv, you will have the opportunity to demonstrate your skills while assisting clients in navigating the complexities of advanced technical solutions. Our company is a pioneer in applying technology for application delivery and security across diverse infrastructures—whether on-premises, in the cloud, or in hybrid environments globally.Role OverviewAs a customer-facing expert in F5 NGINX technology, you will guide clients in implementing innovative solutions to overcome challenges and achieve their objectives. This is your chance to provide consultancy and mentorship, sharing your insights on NGINX products. You will understand and communicate each project's goals and success factors, engaging in collaborative discussions to ensure that every client's expectations are not only met but surpassed.
Join Wise as a Senior Data Science Manager focused on enhancing our Customer Support operations. In this pivotal role, you will lead a talented team of data scientists, driving data-driven strategies to optimize customer experiences and improve support efficiency. You will collaborate closely with cross-functional teams to analyze customer data, identify trends, and provide actionable insights that influence product development and support initiatives.
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
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:
Canva is growing its presence across Europe, the Middle East, and Africa. The Data Science Manager for EMEA Expansion will guide a team of data scientists focused on supporting this growth. The team’s work will help shape strategic decisions and uncover opportunities in these regions. Role overview This position involves leading analytics and machine learning projects from concept to delivery. The manager will coordinate with cross-functional partners to identify business needs and turn complex data into clear, actionable insights. The role emphasizes both team leadership and hands-on technical guidance. What you will do Lead and mentor a team of data scientists working on EMEA-focused projects Drive the development of analytics and machine learning solutions Collaborate with other teams to identify and prioritize business opportunities Translate data findings into recommendations that support Canva’s expansion Requirements Experience managing data science teams Strong background in analytics and machine learning Ability to communicate complex data concepts to non-technical stakeholders Comfort working with cross-functional groups
Apr 29, 2026
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