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Experience
Qualifications
We’re excited about you because you possess:
A solid understanding of data science and AI, with the capability to write authoritatively on technical subjects in this domain.
In-depth knowledge of at least one programming language (Python, R, SQL, etc.) or Business Intelligence Tool (Tableau, Power BI, etc.).
Multiple relevant samples of your writing and editing work to showcase your expertise.
About the job
Freelance Data Science Tutorial Writer
DataCamp is on the lookout for a talented freelance writer specializing in data science tutorials! If you have a robust background in writing within the data and AI sectors, along with proven experience in crafting, editing, and publishing technical articles and tutorials, we would love to connect with you.
In this role, you will collaborate with one of our content editors to produce insightful blogs and tutorials that educate fellow data practitioners. Your contributions will play a pivotal role in disseminating free, valuable educational content to DataCamp’s diverse audience of learners and professionals.
This is a freelance position, and we hope you can deliver between 2-5 articles monthly, focusing on the following tasks:
Creating high-quality articles and tutorials covering data science, AI, analytics, business intelligence, and more.
Researching current trends and technologies to generate original, insightful content that fosters continuous learning among our readers.
Proposing new and engaging topics that resonate with our core audience and drive organic traffic and engagement.
Utilizing generative AI tools (like Midjourney or DALL-E) to create compelling visual content that enhances your articles.
About DataCamp
DataCamp is a leading online learning platform that empowers individuals and organizations to build data skills through interactive learning. With a focus on data science and AI, DataCamp offers a wide range of tutorials and courses that cater to both beginners and advanced practitioners in the field.
Freelance Data Science Tutorial Writer DataCamp is on the lookout for a talented freelance writer specializing in data science tutorials! If you have a robust background in writing within the data and AI sectors, along with proven experience in crafting, editing, and publishing technical articles and tutorials, we would love to connect with you. In this role…
Part-time|$55/hr - $55/hr|Remote|Remote — Glasgow, Scotland, United Kingdom
Please submit your CV in English and specify your English proficiency level. Mindrift offers project-based contract roles for experienced data professionals. The company connects specialists with AI-focused projects at leading technology organizations. Most assignments involve testing, evaluating, or enhancing AI systems. This is not a permanent position but a contract engagement for specific projects. Role overview As a Freelance Data Science Engineer (Python & SQL), work centers on designing and validating complex data science problems. Projects span sectors such as telecom, finance, government, e-commerce, and healthcare. Tasks typically include: Creating computational problems that mirror real-world analytics workflows. Developing challenges requiring advanced Python programming, using libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Ensuring problems are computationally intensive and not solvable by hand in a short time. Building scenarios involving multi-step reasoning: data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Formulating deterministic problems with reproducible results, minimizing randomness by using fixed seeds where needed. Basing problems on realistic business cases such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Covering the full data science pipeline: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Including big data processing situations that require scalable computational solutions. Validating solutions in Python with standard data science libraries and statistical techniques. Documenting each problem clearly, including business context and verified answers. Requirements Minimum 5 years of hands-on data science experience with measurable business results. Portfolio of completed projects or publications that demonstrate real-world problem-solving. Advanced Python skills for data science, especially with Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels. Expertise in statistical analysis and machine learning, with deep understanding of algorithms and their applications. Advanced SQL proficiency for data manipulation and analysis. Familiarity with Generative AI (LLMs, RAG, prompt engineering, vector databases). Understanding of MLOps and model deployment processes. Experience with frameworks such as TensorFlow, PyTorch, and LangChain. Strong written English skills (C1 level or higher). How to join Apply with a CV and indicate English proficiency. Complete the qualification process. Join a project team. Work on assigned tasks. Receive compensation for completed work. This is a remote, project-based contract role. Location: Remote , Glasgow, Scotland, United Kingdom.
As a Data Writer and Editor at Stripe, you will be responsible for crafting and refining high-quality written content that enhances the understanding of our data products. Your expertise in data analysis and exceptional writing skills will play a pivotal role in communicating complex concepts to diverse audiences.You will collaborate with cross-functional teams to gather insights and create informative articles, user guides, and tutorials that engage our users and promote the effective use of our data solutions.
Join Omnicom Health Group as a Freelance Medical Writer and contribute to impactful healthcare communications. In this versatile role, you'll be responsible for producing high-quality medical content that engages and informs a diverse audience, including healthcare professionals, patients, and stakeholders.
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.
Cognite is at the leading edge of industrial digital transformation, developing AI and data solutions that address some of the most challenging and impactful issues worldwide. With an unparalleled industrial background and a robust suite of AI capabilities, including low-code AI agents, Cognite propels digital transformation to enhance operational efficiency.Our ambitious objective is clear: to unlock $100 billion in customer value by 2035 and revolutionize global industry operations.
Contract|Remote|Remote — Glasgow, Scotland, United Kingdom
Toloka AI seeks a Freelance English Writer & AI Trainer to help build and refine AI models. This contract role is fully remote and open to candidates living in Glasgow, Scotland, or elsewhere in the UK. Key responsibilities Write clear, precise content to support AI training tasks Create training materials aimed at improving AI language understanding Use expertise in English and artificial intelligence to ensure high-quality data Collaboration and work style Work from home while collaborating with Toloka AI's team. Contribute language and AI knowledge without needing to commute, making it possible to participate from anywhere in Glasgow or across the United Kingdom.
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.
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.
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.
Join our innovative team at Toloka AI as a Freelance Data Scientist specializing in Python and SQL. In this remote role, you will harness your analytical skills to derive meaningful insights from data, contributing to the enhancement of machine learning models and data-driven solutions. Collaborate with a diverse group of professionals and make a significant impact on our projects.
Role overview tem seeks a Data Science Manager to lead its data science team in the United Kingdom. This position focuses on guiding the team’s efforts to analyze complex datasets and provide insights that shape business decisions. The manager is responsible for overseeing the development and deployment of predictive models. What you will do Lead and mentor data scientists, supporting their growth and daily work Analyze large datasets to identify trends and patterns that inform strategy Manage the lifecycle of predictive modeling projects, from design through deployment Collaborate with other teams to apply data insights to real business challenges Requirements Strong background in statistics, machine learning, and data engineering Experience working with cross-functional teams Skilled at communicating complex data findings in a clear, actionable way
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
Freelance Online Tutor in Social ScienceReference Number: JR254590Location: RemoteContract Type: FreelanceSalary: CompetitiveWe invite qualified professionals with a strong background in Social Science to join our team as Freelance Online Module Tutors. In this role, you will facilitate the educational journey of online students enrolled at the University of Essex Online. For further details about our programs, please visit https://online.essex.ac.uk/. Opportunities may also arise to oversee dissertations or contribute to module content development. We are looking for candidates with expertise in one or more of the following areas: Sociology – Examples of modules include:Sociological ImaginationFoundations of Social TheoryExploring Contemporary Social IssuesAdvanced Sociological TheoryMedia, Crime and CultureMigratory Journeys Key Responsibilities: As a Freelance Module Tutor, you will play a pivotal role in guiding and supporting student learning. Your responsibilities will include, but are not limited to: Conducting online teaching sessions;Holding regular office hours;Engaging in discussion forums;Sharing practical examples from your experience;Assessing and moderating both formative and summative evaluations;Providing constructive feedback and guidance to students;Responding to student inquiries via email;Addressing academic questions related to existing module content.If interested in dissertation supervision, responsibilities include: Meeting with and supporting students during their final projects/dissertations;Evaluating and double-marking dissertations. If interested in content development, responsibilities include: Creating lecturecasts;Designing assessments;Developing multiple-choice questions and other educational materials.
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.
Role Overview Primark is looking for a Data Science & Measurement Lead based in Reading. This role centers on advancing data-driven decision-making throughout the company. As part of the analytics team, the lead will strengthen measurement frameworks and deliver insights that help Primark understand customers and refine business strategies. What You Will Do Work closely with teams across the business to design and build models and algorithms that guide marketing and operational decisions. Analyze complex datasets to extract meaningful, actionable insights. Support the rollout of data strategies aimed at optimizing performance and improving the customer experience. Collaboration This position involves regular collaboration with multiple departments, ensuring that data science informs both day-to-day operations and long-term planning.
Freelance Data Science Tutorial Writer DataCamp is on the lookout for a talented freelance writer specializing in data science tutorials! If you have a robust background in writing within the data and AI sectors, along with proven experience in crafting, editing, and publishing technical articles and tutorials, we would love to connect with you. In this role…
Part-time|$55/hr - $55/hr|Remote|Remote — Glasgow, Scotland, United Kingdom
Please submit your CV in English and specify your English proficiency level. Mindrift offers project-based contract roles for experienced data professionals. The company connects specialists with AI-focused projects at leading technology organizations. Most assignments involve testing, evaluating, or enhancing AI systems. This is not a permanent position but a contract engagement for specific projects. Role overview As a Freelance Data Science Engineer (Python & SQL), work centers on designing and validating complex data science problems. Projects span sectors such as telecom, finance, government, e-commerce, and healthcare. Tasks typically include: Creating computational problems that mirror real-world analytics workflows. Developing challenges requiring advanced Python programming, using libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Ensuring problems are computationally intensive and not solvable by hand in a short time. Building scenarios involving multi-step reasoning: data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Formulating deterministic problems with reproducible results, minimizing randomness by using fixed seeds where needed. Basing problems on realistic business cases such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Covering the full data science pipeline: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Including big data processing situations that require scalable computational solutions. Validating solutions in Python with standard data science libraries and statistical techniques. Documenting each problem clearly, including business context and verified answers. Requirements Minimum 5 years of hands-on data science experience with measurable business results. Portfolio of completed projects or publications that demonstrate real-world problem-solving. Advanced Python skills for data science, especially with Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels. Expertise in statistical analysis and machine learning, with deep understanding of algorithms and their applications. Advanced SQL proficiency for data manipulation and analysis. Familiarity with Generative AI (LLMs, RAG, prompt engineering, vector databases). Understanding of MLOps and model deployment processes. Experience with frameworks such as TensorFlow, PyTorch, and LangChain. Strong written English skills (C1 level or higher). How to join Apply with a CV and indicate English proficiency. Complete the qualification process. Join a project team. Work on assigned tasks. Receive compensation for completed work. This is a remote, project-based contract role. Location: Remote , Glasgow, Scotland, United Kingdom.
As a Data Writer and Editor at Stripe, you will be responsible for crafting and refining high-quality written content that enhances the understanding of our data products. Your expertise in data analysis and exceptional writing skills will play a pivotal role in communicating complex concepts to diverse audiences.You will collaborate with cross-functional teams to gather insights and create informative articles, user guides, and tutorials that engage our users and promote the effective use of our data solutions.
Join Omnicom Health Group as a Freelance Medical Writer and contribute to impactful healthcare communications. In this versatile role, you'll be responsible for producing high-quality medical content that engages and informs a diverse audience, including healthcare professionals, patients, and stakeholders.
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.
Cognite is at the leading edge of industrial digital transformation, developing AI and data solutions that address some of the most challenging and impactful issues worldwide. With an unparalleled industrial background and a robust suite of AI capabilities, including low-code AI agents, Cognite propels digital transformation to enhance operational efficiency.Our ambitious objective is clear: to unlock $100 billion in customer value by 2035 and revolutionize global industry operations.
Contract|Remote|Remote — Glasgow, Scotland, United Kingdom
Toloka AI seeks a Freelance English Writer & AI Trainer to help build and refine AI models. This contract role is fully remote and open to candidates living in Glasgow, Scotland, or elsewhere in the UK. Key responsibilities Write clear, precise content to support AI training tasks Create training materials aimed at improving AI language understanding Use expertise in English and artificial intelligence to ensure high-quality data Collaboration and work style Work from home while collaborating with Toloka AI's team. Contribute language and AI knowledge without needing to commute, making it possible to participate from anywhere in Glasgow or across the United Kingdom.
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.
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.
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.
Join our innovative team at Toloka AI as a Freelance Data Scientist specializing in Python and SQL. In this remote role, you will harness your analytical skills to derive meaningful insights from data, contributing to the enhancement of machine learning models and data-driven solutions. Collaborate with a diverse group of professionals and make a significant impact on our projects.
Role overview tem seeks a Data Science Manager to lead its data science team in the United Kingdom. This position focuses on guiding the team’s efforts to analyze complex datasets and provide insights that shape business decisions. The manager is responsible for overseeing the development and deployment of predictive models. What you will do Lead and mentor data scientists, supporting their growth and daily work Analyze large datasets to identify trends and patterns that inform strategy Manage the lifecycle of predictive modeling projects, from design through deployment Collaborate with other teams to apply data insights to real business challenges Requirements Strong background in statistics, machine learning, and data engineering Experience working with cross-functional teams Skilled at communicating complex data findings in a clear, actionable way
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
Freelance Online Tutor in Social ScienceReference Number: JR254590Location: RemoteContract Type: FreelanceSalary: CompetitiveWe invite qualified professionals with a strong background in Social Science to join our team as Freelance Online Module Tutors. In this role, you will facilitate the educational journey of online students enrolled at the University of Essex Online. For further details about our programs, please visit https://online.essex.ac.uk/. Opportunities may also arise to oversee dissertations or contribute to module content development. We are looking for candidates with expertise in one or more of the following areas: Sociology – Examples of modules include:Sociological ImaginationFoundations of Social TheoryExploring Contemporary Social IssuesAdvanced Sociological TheoryMedia, Crime and CultureMigratory Journeys Key Responsibilities: As a Freelance Module Tutor, you will play a pivotal role in guiding and supporting student learning. Your responsibilities will include, but are not limited to: Conducting online teaching sessions;Holding regular office hours;Engaging in discussion forums;Sharing practical examples from your experience;Assessing and moderating both formative and summative evaluations;Providing constructive feedback and guidance to students;Responding to student inquiries via email;Addressing academic questions related to existing module content.If interested in dissertation supervision, responsibilities include: Meeting with and supporting students during their final projects/dissertations;Evaluating and double-marking dissertations. If interested in content development, responsibilities include: Creating lecturecasts;Designing assessments;Developing multiple-choice questions and other educational materials.
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.
Role Overview Primark is looking for a Data Science & Measurement Lead based in Reading. This role centers on advancing data-driven decision-making throughout the company. As part of the analytics team, the lead will strengthen measurement frameworks and deliver insights that help Primark understand customers and refine business strategies. What You Will Do Work closely with teams across the business to design and build models and algorithms that guide marketing and operational decisions. Analyze complex datasets to extract meaningful, actionable insights. Support the rollout of data strategies aimed at optimizing performance and improving the customer experience. Collaboration This position involves regular collaboration with multiple departments, ensuring that data science informs both day-to-day operations and long-term planning.
